Extract reference for operator FILL to standalone header

Move the reference implementation to its own header so that micro
can use it without the unrelated depedencies of reference_ops.h.
This commit is contained in:
Ryan Kuester 2020-11-30 18:36:56 -06:00
parent d10afb111a
commit 92f459e6b9
3 changed files with 41 additions and 10 deletions

View File

@ -457,6 +457,7 @@ cc_library(
"reference/depthwiseconv_float.h",
"reference/depthwiseconv_uint8.h",
"reference/dequantize.h",
"reference/fill.h",
"reference/floor.h",
"reference/fully_connected.h",
"reference/hard_swish.h",
@ -550,6 +551,7 @@ cc_library(
"reference/depthwiseconv_float.h",
"reference/depthwiseconv_uint8.h",
"reference/dequantize.h",
"reference/fill.h",
"reference/floor.h",
"reference/fully_connected.h",
"reference/hard_swish.h",

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@ -0,0 +1,38 @@
/* Copyright 2020 The TensorFlow Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#ifndef TENSORFLOW_LITE_KERNELS_INTERNAL_REFERENCE_FILL_H_
#define TENSORFLOW_LITE_KERNELS_INTERNAL_REFERENCE_FILL_H_
#include <cmath>
#include "tensorflow/lite/kernels/internal/types.h"
namespace tflite {
namespace reference_ops {
template <typename T>
void Fill(const RuntimeShape& value_shape, const T* value_data,
const RuntimeShape& output_shape, T* output_data) {
TFLITE_DCHECK_EQ(value_shape.DimensionsCount(), 0);
const int flat_size = output_shape.FlatSize();
for (int i = 0; i < flat_size; ++i) {
output_data[i] = *value_data;
}
}
} // namespace reference_ops
} // namespace tflite
#endif // TENSORFLOW_LITE_KERNELS_INTERNAL_REFERENCE_FILL_H_

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@ -40,6 +40,7 @@ limitations under the License.
#include "tensorflow/lite/kernels/internal/reference/concatenation.h"
#include "tensorflow/lite/kernels/internal/reference/conv.h"
#include "tensorflow/lite/kernels/internal/reference/dequantize.h"
#include "tensorflow/lite/kernels/internal/reference/fill.h"
#include "tensorflow/lite/kernels/internal/reference/floor.h"
#include "tensorflow/lite/kernels/internal/reference/fully_connected.h"
#include "tensorflow/lite/kernels/internal/reference/hard_swish.h"
@ -2496,16 +2497,6 @@ inline void BroadcastPow4DSlow(const RuntimeShape& unextended_input1_shape,
}
}
template <typename T>
void Fill(const RuntimeShape& value_shape, const T* value_data,
const RuntimeShape& output_shape, T* output_data) {
TFLITE_DCHECK_EQ(value_shape.DimensionsCount(), 0);
const int flat_size = output_shape.FlatSize();
for (int i = 0; i < flat_size; ++i) {
output_data[i] = *value_data;
}
}
template <typename Scalar>
void Reverse(int axis, const RuntimeShape& input_shape,
const Scalar* input_data, const RuntimeShape& output_shape,