72 lines
2.6 KiB
C++
72 lines
2.6 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/tf2xla/lib/util.h"
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#include <cstdint>
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#include "absl/log/log.h"
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#include "xla/hlo/builder/xla_builder.h"
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#include "xla/literal.h"
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#include "xla/literal_util.h"
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#include "xla/primitive_util.h"
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#include "xla/shape.h"
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#include "xla/xla_data.pb.h"
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namespace tensorflow {
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xla::XlaOp Zeros(xla::XlaBuilder* builder, const xla::Shape& shape) {
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return xla::Broadcast(
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xla::ConstantLiteral(builder,
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xla::LiteralUtil::Zero(shape.element_type())),
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shape.dimensions());
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}
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xla::XlaOp FloatLiteral(xla::XlaBuilder* builder, xla::PrimitiveType type,
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double value) {
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return xla::primitive_util::PrimitiveTypeSwitch<xla::XlaOp>(
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[&](auto primitive_type_constant) -> xla::XlaOp {
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if constexpr (xla::primitive_util::IsFloatingPointType(
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primitive_type_constant) ||
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xla::primitive_util::IsComplexType(
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primitive_type_constant)) {
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using NativeT =
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xla::primitive_util::NativeTypeOf<primitive_type_constant>;
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return xla::ConstantR0<NativeT>(builder, static_cast<NativeT>(value));
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}
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LOG(FATAL) << "unhandled element type " << type;
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},
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type);
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}
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xla::XlaOp IntegerLiteral(xla::XlaBuilder* builder, xla::PrimitiveType type,
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int64_t value) {
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xla::Literal literal = xla::primitive_util::PrimitiveTypeSwitch<xla::Literal>(
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[&](auto primitive_type_constant) -> xla::Literal {
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if constexpr (xla::primitive_util::IsArrayType(
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primitive_type_constant)) {
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using NativeT =
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xla::primitive_util::NativeTypeOf<primitive_type_constant>;
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return xla::LiteralUtil::CreateR0<NativeT>(
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static_cast<NativeT>(value));
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}
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LOG(FATAL) << "unhandled element type " << type;
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},
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type);
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return xla::ConstantLiteral(builder, literal);
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}
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} // namespace tensorflow
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