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Add float16 support for pool 2d operator #9167

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merged 3 commits into from
Mar 17, 2018

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kexinzhao
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@kexinzhao kexinzhao commented Mar 16, 2018

fix #9166

Our goal is to run vgg/resnet in float16 mode for inference.
pool2d is a necessary operator in those models.

@kexinzhao kexinzhao added the 预测 原名Inference,包含Capi预测问题等 label Mar 16, 2018
class TestFP16CUDNN(TestConv2dOp):
def init_op_type(self):
self.use_cudnn = True
self.op_type = "conv2d"
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self.op_type should be placed in setUp, because the unit tests of test_conv2d_op.py is all about conv2d and the difference is just op_kernels.

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Good point! Done.

class TestFP16CUDNNCase1(TestPool2d_Op):
def init_op_type(self):
self.use_cudnn = True
self.op_type = "pool2d"
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The same as the comment above.

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Done.

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@chengduoZH chengduoZH left a comment

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LGTM!

@kexinzhao kexinzhao merged commit df99b16 into PaddlePaddle:develop Mar 17, 2018
@kexinzhao kexinzhao deleted the pool2d_fp16 branch March 17, 2018 18:08
@Xreki Xreki added this to Performance Tuning (DONE) in Inference Framework Apr 3, 2018
@Xreki Xreki moved this from Performance Tuning (DONE) to Support FP16 in Inference Framework Apr 3, 2018
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Need float16 support for pool_2d operator
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