diff options
Diffstat (limited to 'tensorflow/compiler/xla/service/batchnorm_expander.cc')
| -rw-r--r-- | tensorflow/compiler/xla/service/batchnorm_expander.cc | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/tensorflow/compiler/xla/service/batchnorm_expander.cc b/tensorflow/compiler/xla/service/batchnorm_expander.cc index ec281ae68f..30d33e0d35 100644 --- a/tensorflow/compiler/xla/service/batchnorm_expander.cc +++ b/tensorflow/compiler/xla/service/batchnorm_expander.cc @@ -205,11 +205,11 @@ Status BatchNormExpanderVisitor::HandleBatchNormTraining( const Shape feature_shape = scale->shape(); auto zero_literal = LiteralUtil::CreateR0(0.0f); - TF_ASSIGN_OR_RETURN(zero_literal, zero_literal->Convert(ptype)); + TF_ASSIGN_OR_RETURN(zero_literal, zero_literal.Convert(ptype)); auto zero = add(HloInstruction::CreateConstant(std::move(zero_literal))); auto epsilon_literal = LiteralUtil::CreateR0(batch_norm->epsilon()); - TF_ASSIGN_OR_RETURN(epsilon_literal, epsilon_literal->Convert(ptype)); + TF_ASSIGN_OR_RETURN(epsilon_literal, epsilon_literal.Convert(ptype)); auto epsilon = add(HloInstruction::CreateBroadcast( operand_shape, add(HloInstruction::CreateConstant(std::move(epsilon_literal))), {})); @@ -331,7 +331,7 @@ Status BatchNormExpanderVisitor::HandleBatchNormInference( const Shape feature_shape = scale->shape(); auto epsilon_literal = LiteralUtil::CreateR0(batch_norm->epsilon()); - TF_ASSIGN_OR_RETURN(epsilon_literal, epsilon_literal->Convert(ptype)); + TF_ASSIGN_OR_RETURN(epsilon_literal, epsilon_literal.Convert(ptype)); auto epsilon = computation_->AddInstruction(HloInstruction::CreateBroadcast( operand_shape, computation_->AddInstruction( @@ -464,11 +464,11 @@ Status BatchNormExpanderVisitor::HandleBatchNormGrad( const int64 elements_per_feature_int64 = size_in_elements / feature_count; auto zero_literal = LiteralUtil::CreateR0(0.0f); - TF_ASSIGN_OR_RETURN(zero_literal, zero_literal->Convert(ptype)); + TF_ASSIGN_OR_RETURN(zero_literal, zero_literal.Convert(ptype)); auto zero = add(HloInstruction::CreateConstant(std::move(zero_literal))); auto epsilon_literal = LiteralUtil::CreateR0(batch_norm->epsilon()); - TF_ASSIGN_OR_RETURN(epsilon_literal, epsilon_literal->Convert(ptype)); + TF_ASSIGN_OR_RETURN(epsilon_literal, epsilon_literal.Convert(ptype)); auto epsilon_scalar = add(HloInstruction::CreateConstant(std::move(epsilon_literal))); auto epsilon_activation = add( @@ -560,7 +560,7 @@ Status BatchNormExpanderVisitor::HandleBatchNormGrad( auto elements_per_feature_literal = LiteralUtil::CreateR0<float>(elements_per_feature_int64); TF_ASSIGN_OR_RETURN(elements_per_feature_literal, - elements_per_feature_literal->Convert(ptype)); + elements_per_feature_literal.Convert(ptype)); auto elements_per_feature = add( HloInstruction::CreateConstant(std::move(elements_per_feature_literal))); auto i1 = add_binary(activation_shape, HloOpcode::kMultiply, grad_output, |