92f459e6b9
Move the reference implementation to its own header so that micro can use it without the unrelated depedencies of reference_ops.h.
39 lines
1.3 KiB
C++
39 lines
1.3 KiB
C++
/* Copyright 2020 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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#ifndef TENSORFLOW_LITE_KERNELS_INTERNAL_REFERENCE_FILL_H_
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#define TENSORFLOW_LITE_KERNELS_INTERNAL_REFERENCE_FILL_H_
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#include <cmath>
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#include "tensorflow/lite/kernels/internal/types.h"
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namespace tflite {
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namespace reference_ops {
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template <typename T>
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void Fill(const RuntimeShape& value_shape, const T* value_data,
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const RuntimeShape& output_shape, T* output_data) {
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TFLITE_DCHECK_EQ(value_shape.DimensionsCount(), 0);
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const int flat_size = output_shape.FlatSize();
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for (int i = 0; i < flat_size; ++i) {
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output_data[i] = *value_data;
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}
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}
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} // namespace reference_ops
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} // namespace tflite
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#endif // TENSORFLOW_LITE_KERNELS_INTERNAL_REFERENCE_FILL_H_
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