notebooks/mnist.ipynb

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   "cell_type": "markdown",
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   "source": [
    "# Using TensorWatch for Deep Learning Training (MNIST)\n",
    "\n",
    "This tutorial will show how to use some of the advanced features of TensorWatch. These features are powerful but requires some time to get used to. Once you understand how everything works, you can go much beyond simple logging. You can in fact, interactively query your live running machine learning process for information you need without having to log all the data beforehand!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Installing regim\n",
    "\n",
    "This tutorial will use small Python package called [regim](https://github.com/sytelus/regim). It allows you to take PyTorch model file and run training and test epochs on your specified dataset with small amount of code. Regim is already integrated with TensorWatch so you can easily examine how it uses TensorWatch (we'll explain this here as well).\n",
    "\n",
    "To install regim, clone repo from Github and do editable package install:\n",
    "\n",
    "```\n",
    "git clone https://github.com/sytelus/regim.git\n",
    "cd regim\n",
    "pip install -e .\n",
    "```\n",
    "\n",
    "Now we are done with that, let's do our imports:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "%matplotlib notebook\n",
    "import tensorwatch as tw"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Basic Concepts\n",
    "\n",
    "There are two core classes in TensorWatch: `Watcher` and `WatcherClient`. The `Watcher` allows you to create TensorWatch streams and it listen to any incoming requests from anyone to get those streams. Your ML training script will probably create few streams and write any metrics of interest to it. The `WatcherClient` can be running on same or different machine, it connects to the `Watcher`, requests these streams and feeds them to visualizers.\n",
    "\n",
    "In this tutorial we will be using an advanced feature of TensorWatch that we call Lazy Logging Mode. In this mode, we don't actually log any data beforehand. Instead we ask `Watcher` to *observe* variables we have and then we send Python lambda expressions from `WatcherClient` that executes in the context of these variables. If you are not familier with this mode, we highly recommand to check out the [tutorial](https://github.com/microsoft/tensorwatch/blob/master/docs/lazy_logging.md)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Running the Code\n",
    "\n",
    "Start the training script from the directory where you have installed `regim` package from your console window:\n",
    "\n",
    "```\n",
    "cd mnist\n",
    "python mnist_main.py\n",
    "```\n",
    "\n",
    "In next sections, we are going to send queries to this training process and visualize its data while the training progresses in real-time, all from within this Jupyter Notebook!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Managing Train and Test\n",
    "\n",
    "The `regim` package allows us to use train dataset to train a model over epochs, maintain few metrics and make callbacks on events. After each epoch, it can run the trained model so far on the test dataset and maintain metrics on it as well. It maintains separate `Watcher` for train and test cycles so we can see metrics for each separately. The `port` parameter specifies offet to the [baseline port](https://github.com/microsoft/tensorwatch/blob/master/tensorwatch/lv_types.py#L162) for its socket."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "train = tw.WatcherClient(port=0)\n",
    "test = tw.WatcherClient(port=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ploting Train Loss for each Batch\n",
    "\n",
    "Now we are ready to make our first query! Let's plot epoch vs batch loss during training. The `regim` maintains two handy variables that we can use right away: (i) the `epochf` which is epoch as floating point number, for example, the 2nd epoch with half of the batch done would have `epochf=1.5` and, (ii) `batch_loss` which is just average loss for that batch."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
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       "\n",
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       "\n",
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       "\n",
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       "\n",
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       "        break;\n",
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       "\n",
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       "\n",
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       "\n",
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       "    fig.image_mode = msg['mode'];\n",
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       "\n",
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       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "57d08cddffb84b4ea140aa395608578f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(Output(),))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "loss_stream = train.create_stream(expr='lambda d:(d.metrics.epochf, d.metrics.batch_loss)', event_name='batch')\n",
    "loss_plot = tw.Visualizer(loss_stream, vis_type='line', xtitle='Epoch', ytitle='Train Loss')\n",
    "loss_plot.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Adding More Metrics in Same Graph\n",
    "\n",
    "Let's overlay train accuracy for each epoch in above graph. We use here `host` parameter in `Visualizer` constructor to put the graph in exisitng visualizer instead of creating a new one.\n",
    "\n",
    "In next cell, we will overlay yet another metric: loss for test set. As we add more metrics into the same graph, it automatically adjusts itself by adding new Y-Axis for that metric. Notice that we use use `WatcherClient` for the test instread of train. In next two cells, we add yet another metric in same graph for accuracy on test set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "57d08cddffb84b4ea140aa395608578f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(Output(),))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "acc_stream = train.create_stream(expr='lambda d:(d.metrics.epochf, d.metrics.batch_accuracy)', event_name='batch')\n",
    "acc_plot = tw.Visualizer(acc_stream, vis_type='line', host=loss_plot, xtitle='Epoch', ytitle='Train Accuracy', yrange=(0,))\n",
    "acc_plot.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "57d08cddffb84b4ea140aa395608578f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(Output(),))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "test_loss_stream = test.create_stream(expr='lambda d:(d.metrics.epochf, d.metrics.batch_loss)', event_name='batch')\n",
    "test_loss_plot = tw.Visualizer(test_loss_stream, vis_type='line', host=loss_plot, xtitle='Epoch', ytitle='Test Loss', yrange=(0,))\n",
    "test_loss_plot.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "57d08cddffb84b4ea140aa395608578f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(Output(),))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "test_acc_stream = test.create_stream(expr='lambda d:(d.metrics.epochf, d.metrics.batch_accuracy)', event_name='batch')\n",
    "test_acc_plot = tw.Visualizer(test_acc_stream, vis_type='line', host=loss_plot, xtitle='Epoch', ytitle='Test Accuracy', yrange=(0,))\n",
    "test_acc_plot.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ploting Weight Gradients\n",
    "\n",
    "Let's do something more interesting. How about plotting average of gradients in each layer? For this we use handly function `grads_abs_mean` that takes model as input and returns gradients averaged for each layer after each batch. We instruct TensorWatch to execute our lambda expression on event named `batch` using `event_name` parameter (other available event is `epoch`). TensorWatch provides [grads_abs_mean](https://github.com/microsoft/tensorwatch/blob/master/tensorwatch/evaler_utils.py#L190) and other utility functions in [evaler_utils](https://github.com/microsoft/tensorwatch/blob/master/tensorwatch/evaler_utils.py) module that you can use in your Python lambda experessions. You can also use any functions from built-in Python packages such as `itertools`. As this computation is expensive we limit frequency to one per second using `throttle=1`. Also notice `history_len=20` parameter for `Visualizer` which instructs to maintain past 20 line plots as history, each one dimmed a little bit as it gets older."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8cb698d29c6549bebb41499cfa173bbe",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(Output(),))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grads_stream = train.create_stream(expr='lambda d:grads_abs_mean(d.model)', event_name='batch', throttle=1)\n",
    "grads_plot = tw.Visualizer(grads_stream, vis_type='line', title=\"Weight Gradients\", clear_after_each=True, xtitle='Layer', ytitle='Abs Mean Gradient', history_len=20)\n",
    "grads_plot.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " ## Plotting Input and Output Images in Real-time\n",
    " \n",
    "Would you like to view some predictions as your training is progressing? How about looking at two randomly sampled (input, output) pairs every second? As we are training image classifier, the input is image tensor and output is class label. As the model gets better over epoch, you would expect class labels improving. TensorWatch provides handy [topk_all](https://github.com/microsoft/tensorwatch/blob/master/tensorwatch/evaler_utils.py#L119) function that can help us achieve this. As an added bonus, `out_f=image_class_outf` adds a nice formatted string displaying label, loss, probability and predicted class. The `topk_all` function accepts lambda that should return the tuple `(losses, (inputs, outputs))` for a given batch. It's `order` function specifies if we should sort `asc`, `dsc` or `rnd` for ascendind, descending or random. First we use random order which means we select one sample predicition from each class randomly."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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\" 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      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "bdb28b036ba5444f970e9c8d777b5162",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(Output(),))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rand_pred = train.create_stream(expr=\"topk_all(l, \\\n",
    "            batch_vals=lambda b: (b.batch.loss_all, (b.batch.input, b.batch.output), b.batch.target), \\\n",
    "            out_f=image_class_outf, order='rnd')\", event_name='batch', throttle=2)\n",
    "rand_pred_plot = tw.Visualizer(rand_pred, vis_type='image', title=\"Random Predictions\")\n",
    "rand_pred_plot.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Displaying Worst Performing Predicitions\n",
    "\n",
    "Just by changing `order='dsc'`, we ask for sort output predictions in descending order by loss. The `topk_all` function then selects the first predicition from that sorted order from each class. So now we are showing worst performing preditions for each class as training progresses! These are indeed hardest to classify images."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
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     "output_type": "display_data"
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1f2e6b3221bc46c49c14973ef43b9dbf",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(Output(),))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "worse_pred = train.create_stream(expr=\"topk_all(l, \\\n",
    "            batch_vals=lambda b: (b.batch.loss_all, (b.batch.input, b.batch.output), b.batch.target), \\\n",
    "            out_f=image_class_outf, order='dsc')\", event_name='batch', throttle=2)\n",
    "worse_pred_plot = tw.Visualizer(worse_pred, vis_type='image', title=\"Worst Predictions\")\n",
    "worse_pred_plot.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Questions?\n",
    "\n",
    "Please file a [Github issue](https://github.com/microsoft/tensorwatch/issues/new) and let us know if we can improve this tutorial."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}