【PaddlePaddle Hackathon 4 No.49】：为 Paddle bce_loss 支持 float16 数据类型 #50930

thunder95 · 2023-02-26T09:35:43Z

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为bce_loss 新增float16 数据类型

测试设备：RTX 2070s

目前bce_loss前向和反向推理性能测试：

Case No.	input_shape	fp32(ms)	fp16(ms)	diff	relative diff
1	[16, 3, 64, 64, 1]	0.024328	0.0209348	0.003393	faster than 16.21%

中文API文档更新支持fp16数据类型: PaddlePaddle/docs#5704

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… develop

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… develop

zhangting2020 · 2023-03-10T07:48:19Z

paddle/phi/kernels/gpu/bce_loss_grad_kernel.cu

+    MT x_mt = static_cast<MT>(x);
+    MT term1 = max((static_cast<MT>(one) - x_mt) * x_mt, static_cast<MT>(eps));
+    return static_cast<T>(static_cast<MT>(dout) *
+                          (x_mt - static_cast<MT>(label)) / term1);


eps的问题，36行，1e-12在fp16表示下会下溢出为0

已做调整，不知道是否可以这样写。

这里可以简化一下代码？one和eps作为成员变量，初始化为MT类型。原来的构造函数可以删掉了

zhangting2020 · 2023-03-10T07:52:03Z

python/paddle/fluid/tests/unittests/test_bce_loss.py

@@ -279,6 +280,48 @@ def init_test_cast(self):
        self.shape = [2, 3, 20]


+@unittest.skipIf(
+    not core.is_compiled_with_cuda(), "core is not compiled with CUDA"
+)


这个不需要添加了

zhangting2020 · 2023-03-10T07:54:12Z

python/paddle/fluid/tests/unittests/test_bce_loss.py

+
+class TestBceLossOpFP16Case1(OpTest):
+    def init_test_cast(self):
+        self.shape = [20, 30, 40, 50]


这里应该继承TestBceLossOpFP16，以及拼写错误cast->case。下面的case也一样

zhangting2020 · 2023-03-10T07:55:07Z

python/paddle/fluid/tests/unittests/test_bce_loss.py

+        place = core.CUDAPlace(0)
+        if core.is_float16_supported(place):
+            self.check_grad_with_place(
+                place, ['X'], 'Out', max_relative_error=0.5


另外整个单测的写法需要参考低精度算子单测规范https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/dev_guides/amp_precision/amp_test_dev_guide_cn.html

可以继承TestBceLossOp，并对其做简单修改，简化代码

反向的相对误差是否合理？

@zhangting2020 请老师指导下, 不清楚什么地方写的有问题，反向的相对误差始终偏大
AssertionError: 0.42 not less than or equal to 0.001
AssertionError: 0.81 not less than or equal to 0.001
AssertionError: 0.81 not less than or equal to 0.001

zhangting2020 · 2023-03-10T08:05:04Z

python/paddle/nn/layer/loss.py

@@ -68,7 +68,7 @@ class BCEWithLogitsLoss(Layer):
    Args:
        weight (Tensor, optional): A manual rescaling weight given to the loss of each
            batch element. If given, it has to be a 1D Tensor whose size is `[N, ]`,
-            The data type is float32, float64. Default is ``'None'``.
+            The data type is float16, float32, float64. Default is ``'None'``.


这个API对应的是bce_loss吗？

另外，实现为class的API，通常实现中可能会调用functional下面的API，具体需要查看代码

需要对2个api的文档同步修改

需要对静态图分支的类型检查做修改

需要添加一个静态图的fp16单测，继承unittest，调用api即可。参考#51168中的静态图单测

已修改。

… develop

…nto bce_loss_fp16

zhangting2020 · 2023-03-13T03:20:23Z

paddle/phi/kernels/gpu/bce_loss_grad_kernel.cu

+    MT x_mt = static_cast<MT>(x);
+    MT term1 = max((static_cast<MT>(one) - x_mt) * x_mt, static_cast<MT>(eps));
+    return static_cast<T>(static_cast<MT>(dout) *
+                          (x_mt - static_cast<MT>(label)) / term1);


这里可以简化一下代码？one和eps作为成员变量，初始化为MT类型。原来的构造函数可以删掉了

zhangting2020 · 2023-03-13T03:22:42Z

paddle/phi/kernels/gpu/bce_loss_kernel.cu

+            static_cast<MT>(neg_100));
+    return static_cast<T>(
+        ((static_cast<MT>(label) - static_cast<MT>(one)) * term2) -
+        (static_cast<MT>(label) * term1));


这里和上面也是类似的问题，我觉得可以修改下原始的实现。one和neg_100本来是成员变量，可以初始化就为MT 类型。

zhangting2020 · 2023-03-13T03:27:13Z

python/paddle/fluid/tests/unittests/test_bce_loss.py

+
+class TestBceLossOpFP16Case2(TestBceLossOpFP16):
+    def init_test_case(self):
+        self.shape = [2, 3, 20]


上述单测可以再简化一下，TestBceLossOpFP16继承了TestBceLossOp，可以对TestBceLossOp做一些调整，比如初始化case的时候能够设置dtype，shape。这样可以去掉很多冗余的代码。

max_relative_error为什么会这么大？

暂时为了测试ci，反向的相对误差很大，一直没找到原因
AssertionError: 0.42 not less than or equal to 0.001
AssertionError: 0.81 not less than or equal to 0.001
AssertionError: 0.81 not less than or equal to 0.001

zhangting2020 · 2023-03-13T03:28:17Z

python/paddle/fluid/tests/unittests/test_bce_loss.py

+                    feed={'x': x_data, 'y': y_data}, fetch_list=[out]
+                )[0]
+                np.testing.assert_allclose(
+                    output_pd, output_np, rtol=1e-3, atol=1e-3


atol设置为0能通过吗？

@zhangting2020 这里是没问题的， atol=1e-3也能通过。

… bce_loss_fp16

…nto bce_loss_fp16

thunder95 · 2023-03-15T04:53:55Z

python/paddle/fluid/tests/unittests/test_bce_loss.py


        self.inputs = {'X': input_np, 'Label': label_np}
        self.outputs = {'Out': output_np}

    def test_check_output(self):
-        self.check_output()
+        self.check_output(check_eager=True)


@zhangting2020 请问老师 check_eager的含义和用途是什么

这是框架升级过程中单测系统为了测试动态图加入的一个参数，不影响测试效果。

你需要看一下反向的计算精度问题，单测失败提示精度检查无法通过。

@zhangting2020 检查了很久不知道哪里出问题了。目前看来是计算numeric_grads的时候跟预期相差较大，例如在进行mean计算时 np.array([85.02881]).astype(np.float16) => 85.0, 导致pos和neg虽在float下有差异，但是float16二者取值都是85.0，所以计算结果得到的梯度是0。如果计算mean时，将输入设置成float32，就会得到梯度的值，且误差从0.42缩小到0.05. 希望老师进一步指导意见。

计算numeric_grads的时候跟预期相差较大，这个是指单测框架的实现中的哪一部分，能否贴一下链接，有可能是单测框架上造成的理论梯度值有精度损失，我确认下。

@zhangting2020 老师您好，我merge了最新的代码发现之前的op_test.py这个文件没有了，之前是在那个文件里面打印的相关输出进行数值对比的，我把atol和max_relative_error都去掉之后，居然通过检查了，就好像没检查一样。请问这部分后来是做了大的调整吗？

（1）应该是单测的一些文件目录做了调整，现在是在这个文件里了。python/paddle/fluid/tests/unittests/eager_op_test.py

（2）根据你描述的现象我比较担心可能会出现随机挂的问题。建议先在自己的开发环境上，把单测的shape调整几组，并且尝试重复运行单测比如100次：ctest -R test_bce_loss --repeat-until-fail 100 ，如果这样能通过测试，那应该就没问题了。用ctest执行单测，需要编译的时候开启DWITH_TESTING，比如

cmake .. -DPY_VERSION=3.7 -DWITH_GPU=ON -DWITH_TESTING=ON -DCMAKE_BUILD_TYPE=Release -DWITH_DISTRIBUTE=OFF

@zhangting2020 运行命令ctest -R test_bce_loss --repeat-until-fail 100，分别测试了[10, 10], [100, 100], [5000, 5000], [20, 30, 40, 50], 结果全部通过

… bce_loss_fp16

luotao1 · 2023-04-14T08:30:05Z

@thunder95 需要修复下ROCM流水线，看了下历史记录都是挂的

thunder95 · 2023-04-14T08:56:42Z

@luotao1 谢谢，才发现这里有个问题，看日志的时候没拉完

zhangting2020

LGTM

…addlePaddle#50930) * untracked files * bce_loss_fp16 * remove unused files * back max_rel_erro still big * simplify code * upd * fix max_relative_error * restart ci * Update test_bce_loss.py * Update test_bce_loss.py * Update test_bce_loss.py * Update test_bce_loss.py * try to pass test * restore file * remove error value * fix bug --------- Co-authored-by: Zhang Ting <Douyaer2020@qq.com>

thunder95 added 9 commits February 20, 2023 16:32

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【PaddlePaddle Hackathon 第四期】任务总览 #50629

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【PaddlePaddle Hackathon 第四期】任务总览 #51281

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thunder95 added 3 commits March 10, 2023 14:43

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PaddlePaddle Hackathon 4 No.49】：为 Paddle bce_loss 支持 float16 数据类型 PaddlePaddle/docs#5704

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NO.49 为 Paddle bce_loss 算子实现 float16 数据类型支持 #51490

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【PaddlePaddle Hackathon 4 No.49】：为 Paddle bce_loss 支持 float16 数据类型 #50930

【PaddlePaddle Hackathon 4 No.49】：为 Paddle bce_loss 支持 float16 数据类型 #50930

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【PaddlePaddle Hackathon 4 No.49】：为 Paddle bce_loss 支持 float16 数据类型 #50930

【PaddlePaddle Hackathon 4 No.49】：为 Paddle bce_loss 支持 float16 数据类型 #50930

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