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authorGravatar A. Unique TensorFlower <gardener@tensorflow.org>2018-03-02 15:25:41 -0800
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2018-03-02 15:33:05 -0800
commite8e4e5b99b721dcd79e0d1a9a7fe6bfb990744ba (patch)
tree24f08c1148fbc7f7ad32d4d4e186540751ba55c4 /tensorflow/core/kernels/mkl_lrn_op.cc
parent9a45b6bdf0246477754f50fab357e568051bed4f (diff)
Fix some compiler warnings in MKL build.
PiperOrigin-RevId: 187677893
Diffstat (limited to 'tensorflow/core/kernels/mkl_lrn_op.cc')
-rw-r--r--tensorflow/core/kernels/mkl_lrn_op.cc9
1 files changed, 4 insertions, 5 deletions
diff --git a/tensorflow/core/kernels/mkl_lrn_op.cc b/tensorflow/core/kernels/mkl_lrn_op.cc
index 5f0a12a1fb..282012c719 100644
--- a/tensorflow/core/kernels/mkl_lrn_op.cc
+++ b/tensorflow/core/kernels/mkl_lrn_op.cc
@@ -88,7 +88,8 @@ class MklLRNOp : public OpKernel {
OP_REQUIRES_OK(context, context->GetAttr("alpha", &alpha_));
OP_REQUIRES_OK(context, context->GetAttr("beta", &beta_));
workspace_enabled_ = false;
- context->GetAttr("workspace_enabled", &workspace_enabled_);
+ OP_REQUIRES_OK(context,
+ context->GetAttr("workspace_enabled", &workspace_enabled_));
}
void Compute(OpKernelContext* context) override {
@@ -357,7 +358,8 @@ class MklLRNGradOp : public OpKernel {
OP_REQUIRES_OK(context, context->GetAttr("alpha", &alpha_));
OP_REQUIRES_OK(context, context->GetAttr("beta", &beta_));
workspace_enabled_ = false;
- context->GetAttr("workspace_enabled", &workspace_enabled_);
+ OP_REQUIRES_OK(context,
+ context->GetAttr("workspace_enabled", &workspace_enabled_));
}
void Compute(OpKernelContext* context) override {
@@ -535,7 +537,6 @@ class MklLRNGradOp : public OpKernel {
Tensor* mkl_tmp_outimage_buf_tensor) {
const Tensor& in_grads = MklGetInput(context, 0);
const Tensor& in_image = MklGetInput(context, 1);
- const Tensor& out_image = MklGetInput(context, 2);
const Tensor& workspace = MklGetInput(
context,
3); /*Worskpsace is enabled, get the buffer to the workspace */
@@ -544,8 +545,6 @@ class MklLRNGradOp : public OpKernel {
static_cast<const void*>(in_grads.flat<T>().data()));
void* user_fwd_input = const_cast<void*>(
static_cast<const void*>(in_image.flat<T>().data()));
- void* user_fwd_output = const_cast<void*>(
- static_cast<const void*>(out_image.flat<T>().data()));
void* workspace_buffer = const_cast<void*>(
static_cast<const void*>(workspace.flat<T>().data()));