diff options
| author |  A. Unique TensorFlower <gardener@tensorflow.org> | 2017-06-19 10:48:05 -0700 |
|---|---|---|
| committer | TensorFlower Gardener <gardener@tensorflow.org> | 2017-06-19 10:54:20 -0700 |
| commit | 46737e4e81314f7482bfd6a710f126a27f5d7975 (patch) | |
| tree | 5e441f99cfe123f3b7a70ffcb79f7b308a5e04c8 /tensorflow/compiler/xla/service/gpu/pad_insertion.cc | |
| parent | 09d090282667e28ed04547ee0dcf1b6faba75659 (diff) | |
Remove class xla::LiteralUtil. NFC (mind-numbingly so).
This patch removes class xla::LiteralUtil and rewrites every call to use class
xla::Literal instead.
PiperOrigin-RevId: 159446373
Diffstat (limited to 'tensorflow/compiler/xla/service/gpu/pad_insertion.cc')
| -rw-r--r-- | tensorflow/compiler/xla/service/gpu/pad_insertion.cc | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/tensorflow/compiler/xla/service/gpu/pad_insertion.cc b/tensorflow/compiler/xla/service/gpu/pad_insertion.cc index c645e84aa4..4e130de311 100644 --- a/tensorflow/compiler/xla/service/gpu/pad_insertion.cc +++ b/tensorflow/compiler/xla/service/gpu/pad_insertion.cc @@ -61,7 +61,7 @@ HloInstruction* MaybePaddedAndSlicedInput( PrimitiveType element_type = input->shape().element_type(); HloInstruction* padding = computation->AddInstruction(HloInstruction::CreateConstant( - MakeUnique<Literal>(LiteralUtil::Zero(element_type)))); + MakeUnique<Literal>(Literal::Zero(element_type)))); input = computation->AddInstruction(HloInstruction::CreatePad( ShapeInference::InferPadShape( /*operand_shape=*/input->shape(), @@ -126,7 +126,7 @@ HloInstruction* MaybePaddedKernel(const Window& conv_window, PrimitiveType element_type = kernel->shape().element_type(); HloInstruction* padding = computation->AddInstruction(HloInstruction::CreateConstant( - MakeUnique<Literal>(LiteralUtil::Zero(element_type)))); + MakeUnique<Literal>(Literal::Zero(element_type)))); return computation->AddInstruction(HloInstruction::CreatePad( ShapeInference::InferPadShape( /*operand_shape=*/kernel->shape(), @@ -241,9 +241,9 @@ bool PadInsertion::CanonicalizeBackwardFilterConvolution( // Create a new backward convolution replacing the old one. HloComputation* computation = backward_conv->parent(); HloInstruction* output = backward_conv->mutable_operand(1); - HloInstruction* padding = computation->AddInstruction( - HloInstruction::CreateConstant(MakeUnique<Literal>( - LiteralUtil::Zero(input->shape().element_type())))); + HloInstruction* padding = + computation->AddInstruction(HloInstruction::CreateConstant( + MakeUnique<Literal>(Literal::Zero(input->shape().element_type())))); HloInstruction* padded_input = computation->AddInstruction(HloInstruction::CreatePad( ShapeInference::InferPadShape(input->shape(), padding->shape(), |