Add float16 support to batch norm operator #9176
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jacquesqiao
reviewed
Mar 21, 2018
| @@ -118,15 +122,16 @@ class BatchNormKernel<platform::CUDADeviceContext, T> | |||
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| // alloc memory | |||
| y->mutable_data<T>(ctx.GetPlace()); | |||
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why here does not use BatchNormParamType?
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Per the cudnn API, when we are using fp16 mode to run Batch norm cudnn, the data type of input x and output y will be fp16, but the other input parameters including mean and variance will still be float32 type.
So here T == float16, and BatchNormParamType<T> == float as defined in cudnn_helper.h
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fix #9175
Only added and verified float16 kernel for the inference mode of cudnn batch norm kernel,
which is needed to run vgg/resnet inference.
OpTest.np_dtype_to_fluid_dtype is to change the dtype of a numpy array from float16 to uint16 so that it can correctly bind with paddle float16 in tensor_py.h.