wehub-resource-sync
67 lines
2.6 KiB
C++
67 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/minimum.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/binary_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 Minimum {
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template <class T>
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constexpr auto operator()(const T a, const T b) {
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return a < b ? a : b;
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}
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};
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MinimumOp Create(MinimumOp::Attributes) { return {}; }
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absl::Status Prepare(MinimumOp& op, const Tensor& lhs, const Tensor& rhs,
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Tensor& output) {
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SHLO_REF_RETURN_ON_ERROR(Propagate(lhs.shape(), rhs.shape(), output.shape()));
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SHLO_REF_RETURN_ON_ERROR(
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CheckSupportedTypes(CheckCtx("minimum"), lhs, IsBoolTensor, IsIntTensor,
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IsFloatTensor, IsQuantizedPerTensorTensor));
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SHLO_REF_RETURN_ON_ERROR(
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CheckSameBaselineType(CheckCtx("minimum"), lhs, output));
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SHLO_REF_RETURN_ON_ERROR(
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CheckSameBaselineType(CheckCtx("minimum"), rhs, output));
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return absl::OkStatus();
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}
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absl::Status Evaluate(MinimumOp& op, const Tensor& lhs, const Tensor& rhs,
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Tensor& output) {
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Minimum minimum;
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if (IsBoolTensor(lhs) || IsIntTensor(lhs) || IsFloatTensor(lhs)) {
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// Note: all the arithmetic types share the same implementation.
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DISPATCH_BOOL_INT_FLOAT(detail::EvaluateNoQuantization,
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lhs.tensor_element_type(), minimum, lhs, rhs,
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output);
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} else if (IsQuantizedPerTensorTensor(lhs)) {
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DISPATCH_QUANTIZED(detail::DequantizeOpQuantizePerTensor,
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lhs.quantized_per_tensor_element_type().StorageType(),
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lhs.quantized_per_tensor_element_type().ExpressedType(),
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minimum, lhs, rhs, output)
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}
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return absl::FailedPreconditionError(
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"stablehlo.minimum: Unsupported tensor type.");
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}
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} // namespace shlo_ref
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