wehub-resource-sync
61 lines
2.4 KiB
C++
61 lines
2.4 KiB
C++
/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.
|
|
|
|
Licensed under the Apache License, Version 2.0 (the "License");
|
|
you may not use this file except in compliance with the License.
|
|
You may obtain a copy of the License at
|
|
|
|
http://www.apache.org/licenses/LICENSE-2.0
|
|
|
|
Unless required by applicable law or agreed to in writing, software
|
|
distributed under the License is distributed on an "AS IS" BASIS,
|
|
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
See the License for the specific language governing permissions and
|
|
limitations under the License.
|
|
==============================================================================*/
|
|
|
|
#include "tensorflow/compiler/tf2xla/lib/broadcast.h"
|
|
|
|
#include <cstdint>
|
|
|
|
#include "absl/status/status.h"
|
|
#include "absl/status/statusor.h"
|
|
#include "absl/types/span.h"
|
|
#include "tensorflow/compiler/tf2xla/shape_util.h"
|
|
#include "xla/hlo/builder/lib/broadcast.h"
|
|
#include "xla/hlo/builder/xla_builder.h"
|
|
#include "xla/tsl/platform/errors.h"
|
|
#include "xla/tsl/platform/statusor.h"
|
|
#include "tensorflow/core/framework/tensor_shape.h"
|
|
#include "tensorflow/core/platform/errors.h"
|
|
#include "tensorflow/core/platform/status.h"
|
|
#include "tensorflow/core/util/bcast.h"
|
|
|
|
namespace tensorflow {
|
|
|
|
absl::StatusOr<xla::XlaOp> BroadcastTo(xla::XlaOp input,
|
|
absl::Span<int64_t const> output_dims) {
|
|
return xla::BroadcastTo(input, output_dims);
|
|
}
|
|
|
|
absl::Status BroadcastOpsToSame(xla::XlaOp* lhs, xla::XlaOp* rhs) {
|
|
TF_ASSIGN_OR_RETURN(auto lhs_xla_shape, lhs->builder()->GetShape(*lhs));
|
|
TF_ASSIGN_OR_RETURN(auto rhs_xla_shape, rhs->builder()->GetShape(*rhs));
|
|
tensorflow::TensorShape lhs_tf_shape;
|
|
tensorflow::TensorShape rhs_tf_shape;
|
|
TF_RETURN_IF_ERROR(XLAShapeToTensorShape(lhs_xla_shape, &lhs_tf_shape));
|
|
TF_RETURN_IF_ERROR(XLAShapeToTensorShape(rhs_xla_shape, &rhs_tf_shape));
|
|
if (!lhs_tf_shape.IsSameSize(rhs_tf_shape)) {
|
|
tensorflow::BCast bcast(tensorflow::BCast::FromShape(lhs_tf_shape),
|
|
tensorflow::BCast::FromShape(rhs_tf_shape));
|
|
if (!bcast.IsValid()) {
|
|
return absl::InvalidArgumentError(
|
|
"Dimensions cannot be made to match through broadcasting");
|
|
}
|
|
TF_ASSIGN_OR_RETURN(*lhs, xla::BroadcastTo(*lhs, bcast.output_shape()));
|
|
TF_ASSIGN_OR_RETURN(*rhs, xla::BroadcastTo(*rhs, bcast.output_shape()));
|
|
}
|
|
return absl::OkStatus();
|
|
}
|
|
|
|
} // namespace tensorflow
|