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Add missing license header for md files (#18541)
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ciyongch authored Jun 12, 2020
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17 changes: 17 additions & 0 deletions R-package/README.md
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<!--- Licensed to the Apache Software Foundation (ASF) under one -->
<!--- or more contributor license agreements. See the NOTICE file -->
<!--- distributed with this work for additional information -->
<!--- regarding copyright ownership. The ASF licenses this file -->
<!--- to you under the Apache License, Version 2.0 (the -->
<!--- "License"); you may not use this file except in compliance -->
<!--- with the License. You may obtain a copy of the License at -->
<!--- -->
<!--- http://www.apache.org/licenses/LICENSE-2.0 -->
<!--- -->
<!--- Unless required by applicable law or agreed to in writing, -->
<!--- software distributed under the License is distributed on an -->
<!--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -->
<!--- KIND, either express or implied. See the License for the -->
<!--- specific language governing permissions and limitations -->
<!--- under the License. -->

<img src=https://raw.githubusercontent.com/dmlc/dmlc.github.io/master/img/logo-m/mxnetR.png width=155/> Deep Learning for R
==========================

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17 changes: 17 additions & 0 deletions example/image-classification/README.md
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<!--- Licensed to the Apache Software Foundation (ASF) under one -->
<!--- or more contributor license agreements. See the NOTICE file -->
<!--- distributed with this work for additional information -->
<!--- regarding copyright ownership. The ASF licenses this file -->
<!--- to you under the Apache License, Version 2.0 (the -->
<!--- "License"); you may not use this file except in compliance -->
<!--- with the License. You may obtain a copy of the License at -->
<!--- -->
<!--- http://www.apache.org/licenses/LICENSE-2.0 -->
<!--- -->
<!--- Unless required by applicable law or agreed to in writing, -->
<!--- software distributed under the License is distributed on an -->
<!--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -->
<!--- KIND, either express or implied. See the License for the -->
<!--- specific language governing permissions and limitations -->
<!--- under the License. -->

# Image Classification

This fold contains examples for image classification. The goal of image
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17 changes: 17 additions & 0 deletions example/image-classification/predict-cpp/README.md
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<!--- Licensed to the Apache Software Foundation (ASF) under one -->
<!--- or more contributor license agreements. See the NOTICE file -->
<!--- distributed with this work for additional information -->
<!--- regarding copyright ownership. The ASF licenses this file -->
<!--- to you under the Apache License, Version 2.0 (the -->
<!--- "License"); you may not use this file except in compliance -->
<!--- with the License. You may obtain a copy of the License at -->
<!--- -->
<!--- http://www.apache.org/licenses/LICENSE-2.0 -->
<!--- -->
<!--- Unless required by applicable law or agreed to in writing, -->
<!--- software distributed under the License is distributed on an -->
<!--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -->
<!--- KIND, either express or implied. See the License for the -->
<!--- specific language governing permissions and limitations -->
<!--- under the License. -->

# Image Classification Example Using the C Predict API
This is a simple predictor which shows how to use the MXNet C Predict API for image classification with a pre-trained ImageNet model in a single thread and multiple threads.

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17 changes: 17 additions & 0 deletions example/image-classification/symbols/README.md
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<!--- Licensed to the Apache Software Foundation (ASF) under one -->
<!--- or more contributor license agreements. See the NOTICE file -->
<!--- distributed with this work for additional information -->
<!--- regarding copyright ownership. The ASF licenses this file -->
<!--- to you under the Apache License, Version 2.0 (the -->
<!--- "License"); you may not use this file except in compliance -->
<!--- with the License. You may obtain a copy of the License at -->
<!--- -->
<!--- http://www.apache.org/licenses/LICENSE-2.0 -->
<!--- -->
<!--- Unless required by applicable law or agreed to in writing, -->
<!--- software distributed under the License is distributed on an -->
<!--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -->
<!--- KIND, either express or implied. See the License for the -->
<!--- specific language governing permissions and limitations -->
<!--- under the License. -->

# Symbol

This fold contains definition of various networks. To add a new network, please
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19 changes: 18 additions & 1 deletion example/quantization/README.md
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<!--- Licensed to the Apache Software Foundation (ASF) under one -->
<!--- or more contributor license agreements. See the NOTICE file -->
<!--- distributed with this work for additional information -->
<!--- regarding copyright ownership. The ASF licenses this file -->
<!--- to you under the Apache License, Version 2.0 (the -->
<!--- "License"); you may not use this file except in compliance -->
<!--- with the License. You may obtain a copy of the License at -->
<!--- -->
<!--- http://www.apache.org/licenses/LICENSE-2.0 -->
<!--- -->
<!--- Unless required by applicable law or agreed to in writing, -->
<!--- software distributed under the License is distributed on an -->
<!--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -->
<!--- KIND, either express or implied. See the License for the -->
<!--- specific language governing permissions and limitations -->
<!--- under the License. -->

# Model Quantization with Calibration Examples

This folder contains examples of quantizing a FP32 model with Intel® MKL-DNN or CUDNN.
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# Launch dummy data Inference
bash ./launch_inference_mkldnn.sh -s ./model/squeezenet1.0-symbol.json
bash ./launch_inference_mkldnn.sh -s ./model/squeezenet1.0-quantized-5batches-naive-symbol.json
bash ./launch_inference_mkldnn.sh -s ./model/squeezenet1.0-quantized-5batches-naive-symbol.json
```

<h3 id='5'>MobileNet 1.0</h3>
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17 changes: 17 additions & 0 deletions julia/docs/src/api/optimizer.md
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<!--- Licensed to the Apache Software Foundation (ASF) under one -->
<!--- or more contributor license agreements. See the NOTICE file -->
<!--- distributed with this work for additional information -->
<!--- regarding copyright ownership. The ASF licenses this file -->
<!--- to you under the Apache License, Version 2.0 (the -->
<!--- "License"); you may not use this file except in compliance -->
<!--- with the License. You may obtain a copy of the License at -->
<!--- -->
<!--- http://www.apache.org/licenses/LICENSE-2.0 -->
<!--- -->
<!--- Unless required by applicable law or agreed to in writing, -->
<!--- software distributed under the License is distributed on an -->
<!--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -->
<!--- KIND, either express or implied. See the License for the -->
<!--- specific language governing permissions and limitations -->
<!--- under the License. -->

# Optimizers

Says, you have the parameter `W` inited for your model and
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19 changes: 18 additions & 1 deletion tests/python-pytest/onnx/README.md
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<!--- Licensed to the Apache Software Foundation (ASF) under one -->
<!--- or more contributor license agreements. See the NOTICE file -->
<!--- distributed with this work for additional information -->
<!--- regarding copyright ownership. The ASF licenses this file -->
<!--- to you under the Apache License, Version 2.0 (the -->
<!--- "License"); you may not use this file except in compliance -->
<!--- with the License. You may obtain a copy of the License at -->
<!--- -->
<!--- http://www.apache.org/licenses/LICENSE-2.0 -->
<!--- -->
<!--- Unless required by applicable law or agreed to in writing, -->
<!--- software distributed under the License is distributed on an -->
<!--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -->
<!--- KIND, either express or implied. See the License for the -->
<!--- specific language governing permissions and limitations -->
<!--- under the License. -->

# ONNX tests

## Directory structure:
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for "both", import and export, "import" alone, or "export" alone.
* `test_models.py` - custom tests for models
* `test_node.py` - custom tests for operators. These tests are written independent of ONNX tests, in case
ONNX doesn't have tests yet or for MXNet specific operators.
ONNX doesn't have tests yet or for MXNet specific operators.

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