wehub-resource-sync
60 lines
1.9 KiB
C++
60 lines
1.9 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/not.h"
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#include "absl/status/status.h"
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#include "tensorflow/lite/experimental/shlo/dispatch.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 Not {
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template <class T>
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T operator()(T v) const {
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return static_cast<T>(~v);
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}
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};
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template <>
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bool Not::operator()(bool v) const {
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return !v;
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}
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NotOp Create(NotOp::Attributes) { return {}; }
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absl::Status Prepare(NotOp& 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(
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CheckSupportedTypes(CheckCtx("not"), input, IsBoolTensor, IsIntTensor));
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SHLO_REF_RETURN_ON_ERROR(
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CheckSameBaselineType(CheckCtx("not"), input, output));
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return absl::OkStatus();
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}
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absl::Status Evaluate(NotOp& op, const Tensor& input, Tensor& output) {
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Not not_func;
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if (IsIntTensor(input) || IsBoolTensor(input)) {
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DISPATCH_BOOL_INT(detail::EvaluateNoQuantization,
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input.tensor_element_type(), not_func, input, output);
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}
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return absl::FailedPreconditionError(
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"stablehlo.not: Unsupported tensor type.");
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}
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}; // namespace shlo_ref
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