wehub-resource-sync
76 lines
2.6 KiB
C++
76 lines
2.6 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/tanh.h"
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#include <cmath>
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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/data_type.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 Tanh {
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template <class T>
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T operator()(T v) const {
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return std::tanh(v);
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}
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};
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template <>
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F16 Tanh::operator()<F16>(F16 val) const {
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return F16(operator()(static_cast<float>(val)));
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}
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template <>
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BF16 Tanh::operator()<BF16>(BF16 val) const {
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return BF16(operator()(static_cast<float>(val)));
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}
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TanhOp Create(TanhOp::Attributes) { return {}; }
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absl::Status Prepare(TanhOp& 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(
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CheckCtx("tanh"), input, IsFloatTensor, IsQuantizedPerTensorTensor));
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SHLO_REF_RETURN_ON_ERROR(
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CheckSameBaselineType(CheckCtx("tanh"), input, output));
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return absl::OkStatus();
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}
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absl::Status Evaluate(TanhOp& op, const Tensor& input, Tensor& output) {
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Tanh tanh;
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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(), tanh, input,
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output)
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} else if (!input.IsQuantized() && IsFloat(input.StorageType())) {
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DISPATCH_FLOAT(detail::EvaluateNoQuantization, input.tensor_element_type(),
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tanh, input, output);
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}
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return absl::FailedPreconditionError(
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"stablehlo.tanh: Unsupported tensor type.");
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}
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}; // namespace shlo_ref
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