83dbe37b4b
Shape::Is(Array|Tuple|Token|Opaque). No functional change. ShapeUtil methods are marked as deprecated. These methods will be removed in a later CL. PiperOrigin-RevId: 226425321
62 lines
2.3 KiB
C++
62 lines
2.3 KiB
C++
/* Copyright 2018 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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#include "tensorflow/compiler/xla/service/tuple_util.h"
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#include "absl/types/span.h"
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#include "tensorflow/compiler/xla/service/hlo_computation.h"
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namespace xla {
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/*static*/ HloInstruction* TupleUtil::ExtractPrefix(HloInstruction* input_tuple,
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int64 elements) {
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CHECK(input_tuple->shape().IsTuple());
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HloComputation* computation = input_tuple->parent();
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const Shape& input_shape = input_tuple->shape();
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std::vector<HloInstruction*> tuple_elements;
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tuple_elements.reserve(elements);
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for (int i = 0; i < elements; i++) {
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tuple_elements.push_back(
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computation->AddInstruction(HloInstruction::CreateGetTupleElement(
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input_shape.tuple_shapes(i), input_tuple, i)));
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}
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return computation->AddInstruction(
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HloInstruction::CreateTuple(tuple_elements));
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}
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/*static*/ HloInstruction* TupleUtil::AppendSuffix(
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HloInstruction* input_tuple,
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absl::Span<HloInstruction* const> trailing_values) {
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CHECK(input_tuple->shape().IsTuple());
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HloComputation* computation = input_tuple->parent();
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const Shape& input_shape = input_tuple->shape();
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std::vector<HloInstruction*> tuple_elements;
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tuple_elements.reserve(input_shape.tuple_shapes_size());
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for (int i = 0; i < input_shape.tuple_shapes_size(); i++) {
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tuple_elements.push_back(
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computation->AddInstruction(HloInstruction::CreateGetTupleElement(
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input_shape.tuple_shapes(i), input_tuple, i)));
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}
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tuple_elements.insert(tuple_elements.end(), trailing_values.begin(),
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trailing_values.end());
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return computation->AddInstruction(
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HloInstruction::CreateTuple(tuple_elements));
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}
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} // namespace xla
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