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Diffstat (limited to 'tensorflow/core/kernels/mkl_maxpooling_op.cc')
-rw-r--r--tensorflow/core/kernels/mkl_maxpooling_op.cc24
1 files changed, 11 insertions, 13 deletions
diff --git a/tensorflow/core/kernels/mkl_maxpooling_op.cc b/tensorflow/core/kernels/mkl_maxpooling_op.cc
index 44e1b93dba..846bb5710d 100644
--- a/tensorflow/core/kernels/mkl_maxpooling_op.cc
+++ b/tensorflow/core/kernels/mkl_maxpooling_op.cc
@@ -311,7 +311,7 @@ class MklMaxPoolingGradOp : public OpKernel {
lt_input_user = (dnnLayout_t)input_shape.GetCurLayout();
}
- // We dont care about the output layout for now as we can create it from
+ // We don't care about the output layout for now as we can create it from
// primitives for the max pooling fwd prop
if (outbackprop_in_mkl_format == false) {
CHECK_EQ(dnnLayoutCreate_F32(&lt_outbackprop_user, params.in_dim,
@@ -382,19 +382,18 @@ class MklMaxPoolingGradOp : public OpKernel {
if (workspace_enabled == false) {
if (convert_input != nullptr) {
if (input_in_mkl_format == false) {
- CHECK_EQ(dnnConversionExecute_F32(
- convert_input,
- const_cast<void*>(static_cast<const void*>(
- tensor_in.flat<T>().data())),
- input_buf),
- E_SUCCESS);
+ CHECK_EQ(
+ dnnConversionExecute_F32(
+ convert_input, const_cast<void*>(static_cast<const void*>(
+ tensor_in.flat<T>().data())),
+ input_buf),
+ E_SUCCESS);
CHECK_EQ(dnnDelete_F32(convert_input), E_SUCCESS);
convert_input = nullptr;
} else {
input_shape.GetConvertedFlatData(
- lt_input_prim,
- const_cast<void*>(
- static_cast<const void*>(tensor_in.flat<T>().data())),
+ lt_input_prim, const_cast<void*>(static_cast<const void*>(
+ tensor_in.flat<T>().data())),
input_buf);
}
pooling_resfwd[dnnResourceSrc] = input_buf;
@@ -439,9 +438,8 @@ class MklMaxPoolingGradOp : public OpKernel {
CHECK_EQ(dnnDelete_F32(convert_outbackprop), E_SUCCESS);
} else {
output_backprop_shape.GetConvertedFlatData(
- lt_outbackprop_prim,
- const_cast<void*>(
- static_cast<const void*>(out_backprop.flat<T>().data())),
+ lt_outbackprop_prim, const_cast<void*>(static_cast<const void*>(
+ out_backprop.flat<T>().data())),
outbackprop_buf);
}
pooling_res[dnnResourceDiffDst] = outbackprop_buf;