rongzha1 commented on a change in pull request #17902: [mkldnn] optimize for
mkldnn batchnorm backward
URL: https://github.com/apache/incubator-mxnet/pull/17902#discussion_r397566402
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File path: src/operator/nn/mkldnn/mkldnn_batch_norm-inl.h
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@@ -332,17 +332,20 @@ void MKLDNNBatchNormBackward(const nnvm::NodeAttrs
&attrs, const OpContext &ctx,
const NDArray &beta = in_data[batchnorm::kBeta];
DType *weight_buf = reinterpret_cast<DType
*>(bwd.GetWeight().get_data_handle());
nnvm::dim_t channels_ = data.shape()[1];
- for (int i = 0; i < channels_; i++) {
- if (!param.fix_gamma)
- weight_buf[i] = (gamma.data().dptr<DType>())[i]; // weight
- else
+ DType *weight_ptr = reinterpret_cast<DType *>(gamma.data().dptr<DType>());
+ DType* bias_ptr = reinterpret_cast<DType *>(beta.data().dptr<DType>());
+ size_t copy_size = sizeof(DType) * channels_;
+ if (!param.fix_gamma) {
+ memcpy(weight_buf, weight_ptr, copy_size);
+ memcpy(&weight_buf[channels_], bias_ptr, copy_size);
+ } else {
+ for (int i = 0; i < channels_; i++) {
weight_buf[i] = static_cast<DType>(1.0f);
+ }
+ for (int i = 0; i < channels_; i++) {
+ weight_buf[channels_ + i] = (beta.data().dptr<DType>())[i]; // bias
Review comment:
OK
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