3RNN/Lib/site-packages/tensorflow/include/xla/service/tuple_util.h
2024-05-26 19:49:15 +02:00

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3.9 KiB
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/* Copyright 2018 The OpenXLA Authors.
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.
==============================================================================*/
#ifndef XLA_SERVICE_TUPLE_UTIL_H_
#define XLA_SERVICE_TUPLE_UTIL_H_
#include <cstdint>
#include "absl/strings/string_view.h"
#include "absl/types/span.h"
#include "xla/hlo/ir/hlo_instruction.h"
#include "xla/service/hlo_value.h"
#include "xla/shape_tree.h"
#include "xla/shape_util.h"
#include "xla/statusor.h"
namespace xla {
class TupleUtil {
public:
// Generates HLO instructions to get a prefix tuple from `input_tuple` (which
// must be of tuple shape) of length `elements`. Returns the root of the
// graph of instructions generated.
//
// The instructions are generated into the computation containing
// `input_tuple`.
static HloInstruction* ExtractPrefix(HloInstruction* input_tuple,
int64_t elements,
absl::string_view name = "");
// Generates HLO instructions to create a tuple that consists of the values in
// `trailing_values` appended to `input_tuple` (which must be of tuple shape).
// Returns the root of the graph of instructions generated.
//
// The instructions are generated into the computation containing
// `input_tuple`.
static HloInstruction* AppendSuffix(
HloInstruction* input_tuple,
absl::Span<HloInstruction* const> trailing_values);
// Generates HLO instructions that duplicates the tuple by inserting
// get-tuple-elements and a new tuple instruction. Returns the root of the
// graph of instructions generated.
static HloInstruction* Duplicate(HloInstruction* input_tuple) {
return ExtractPrefix(input_tuple, input_tuple->shape().tuple_shapes_size());
}
// Descend to the shape_index element of the tuple and replace that with
// new_instruction. If the replacement instruction has a different shape than
// the old one, we insert a bitcast if insert_bitcast_if_different_shape is
// set to true.
static StatusOr<HloInstruction*> ReplaceTupleWith(
HloInstruction* new_instruction, HloInstruction* tuple,
ShapeIndex shape_index, bool insert_bitcast_if_different_shape = true);
// Recursively create kGetTupleElement instructions if the defining position
// shape is not an array. Returns the new instruction that has array shape.
static HloInstruction* AddGetTupleElements(const HloPosition& position);
// Returns a ShapeTree where each index is a GetTupleElement instruction for
// that subshape of the tuple. The root index is the original argument.
// The new instructions are added to the parent computation of the argument.
// This function is similar to `xla::DisassembleTuple` except it operates
// directly on `HloInstruction*`.
static ShapeTree<HloInstruction*> DisassembleTupleInstruction(
HloInstruction* tuple);
// Assembles a tuple from a ShapeTree that contains the leaves of the tuple.
// Non-leaf elements of the ShapeTree are ignored. DisassembleTuple and
// AssembleTuple are essentially inverse operations.
// The new instructions are added to the given computation.
// This function is similar to `xla::AssembleTuple` except it operates
// directly on `HloInstruction*`.
static HloInstruction* AssembleTupleInstruction(
HloComputation* computation, ShapeTree<HloInstruction*> elements,
absl::string_view name = "");
};
} // namespace xla
#endif // XLA_SERVICE_TUPLE_UTIL_H_