wehub-resource-sync
85 lines
3.2 KiB
C++
85 lines
3.2 KiB
C++
/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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// Utilities for working with XLA layout and shapes.
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#ifndef TENSORFLOW_COMPILER_TF2XLA_LAYOUT_UTIL_H_
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#define TENSORFLOW_COMPILER_TF2XLA_LAYOUT_UTIL_H_
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#include <functional>
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#include <optional>
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#include <vector>
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#include "absl/status/status.h"
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#include "absl/status/statusor.h"
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#include "tensorflow/compiler/tf2xla/xla_argument.h"
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#include "tensorflow/compiler/tf2xla/xla_helpers.h"
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#include "xla/hlo/builder/xla_builder.h"
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#include "xla/hlo/ir/hlo_sharding.h"
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#include "xla/shape.h"
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#include "xla/xla_data.pb.h"
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#include "tensorflow/core/framework/tensor_shape.h"
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#include "tensorflow/core/framework/types.pb.h"
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#include "tensorflow/core/platform/status.h"
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#include "tensorflow/core/platform/statusor.h"
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namespace tensorflow {
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class XlaShapeLayoutHelpers {
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public:
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// The following defines the layout preference of an xla tensor.
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// The return value of LayoutPreferenceFn can be used in
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// XlaHelper::ShapeRepresentationFn.
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typedef std::function<XlaLayoutPreference(const TensorShape&, DataType,
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std::optional<XlaArgument::Kind>)>
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LayoutPreferenceFn;
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// A bundle of LayoutPreferenceFn and ShapeRepresentationFn.
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struct ShapeDeterminationFns {
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// Use no preference function, and identity shape representation function,
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// as default value.
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ShapeDeterminationFns();
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ShapeDeterminationFns(
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LayoutPreferenceFn layout_preference_fn,
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XlaHelpers::ShapeRepresentationFn shape_representation_fn)
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: layout_preference_fn(layout_preference_fn),
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shape_representation_fn(shape_representation_fn) {}
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LayoutPreferenceFn layout_preference_fn;
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XlaHelpers::ShapeRepresentationFn shape_representation_fn;
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};
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};
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// Return a LayoutPreferenceFn that always uses kNoPreference layout.
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XlaShapeLayoutHelpers::LayoutPreferenceFn UseNoPreferenceLayoutFn();
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// Rewrites the layout of xla_shape if there is tiled sharding.
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absl::Status RewriteLayoutWithShardedShape(
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const std::optional<xla::HloSharding>& sharding, bool use_fast_memory,
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XlaShapeLayoutHelpers::ShapeDeterminationFns shape_determination_fns,
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xla::Shape* xla_shape);
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// Adds reshapes to fix the layout of an output, if a shape_representation_fn or
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// sharding is present.
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absl::StatusOr<xla::XlaOp> ReshapeWithCorrectRepresentationAndSharding(
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xla::XlaBuilder* builder, xla::XlaOp original, xla::Shape original_shape,
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XlaShapeLayoutHelpers::ShapeDeterminationFns shape_determination_fns,
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std::optional<xla::OpSharding> sharding, bool fast_mem);
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} // namespace tensorflow
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#endif // TENSORFLOW_COMPILER_TF2XLA_SHAPE_UTIL_H_
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