wehub-resource-sync
78 lines
2.8 KiB
C++
78 lines
2.8 KiB
C++
/* Copyright 2024 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/lite/experimental/shlo/ops/sign.h"
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#include "absl/status/status.h"
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#include "tensorflow/lite/experimental/shlo/bf16.h"
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#include "tensorflow/lite/experimental/shlo/dispatch.h"
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#include "tensorflow/lite/experimental/shlo/f16.h"
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#include "tensorflow/lite/experimental/shlo/ops/unary_elementwise.h"
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#include "tensorflow/lite/experimental/shlo/ops/util.h"
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#include "tensorflow/lite/experimental/shlo/tensor.h"
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namespace shlo_ref {
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struct Sign {
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template <class T>
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T operator()(T v) const {
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constexpr T one = static_cast<T>(1);
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constexpr T minus_one = static_cast<T>(-1);
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constexpr T zero = static_cast<T>(0);
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return v < zero ? minus_one : (v > zero ? one : v);
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}
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};
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template <>
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F16 Sign::operator()(F16 v) const {
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return static_cast<F16>(operator()(static_cast<float>(v)));
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}
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template <>
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BF16 Sign::operator()(BF16 v) const {
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return static_cast<BF16>(operator()(static_cast<float>(v)));
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}
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SignOp Create(SignOp::Attributes) { return {}; }
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absl::Status Prepare(SignOp& op, const Tensor& input, Tensor& output) {
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SHLO_REF_RETURN_ON_ERROR(Propagate(input.shape(), output.shape()));
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SHLO_REF_RETURN_ON_ERROR(CheckSupportedTypes(CheckCtx("sign"), input,
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IsSignedIntTensor, IsFloatTensor,
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IsQuantizedPerTensorTensor));
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SHLO_REF_RETURN_ON_ERROR(
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CheckSameBaselineType(CheckCtx("sign"), input, output));
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return absl::OkStatus();
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}
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absl::Status Evaluate(SignOp& op, const Tensor& input, Tensor& output) {
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Sign sign;
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if (input.IsPerTensorQuantized()) {
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DISPATCH_QUANTIZED(
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detail::DequantizeOpQuantizePerTensor,
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input.quantized_per_tensor_element_type().StorageType(),
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input.quantized_per_tensor_element_type().ExpressedType(), sign, input,
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output)
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} else if (IsSignedIntTensor(input) || IsFloatTensor(input)) {
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DISPATCH_INT_FLOAT(detail::EvaluateNoQuantization,
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input.tensor_element_type(), sign, input, output);
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}
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return absl::FailedPreconditionError(
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"stablehlo.sign: Unsupported tensor type.");
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}
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}; // namespace shlo_ref
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