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a37043ff7a
Confirmed that the following command passes: ``` ./tensorflow/lite/micro/tools/ci_build/test_all_new.sh GITHUB_PRESUBMIT ```
100 lines
4.5 KiB
C++
100 lines
4.5 KiB
C++
/* Copyright 2017 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_DEPTHWISECONV_FLOAT_H_
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#define TENSORFLOW_LITE_KERNELS_INTERNAL_REFERENCE_DEPTHWISECONV_FLOAT_H_
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#include "tensorflow/lite/kernels/internal/common.h"
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#include "tensorflow/lite/kernels/internal/compatibility.h"
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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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inline void DepthwiseConv(
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const DepthwiseParams& params, const RuntimeShape& input_shape,
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const float* input_data, const RuntimeShape& filter_shape,
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const float* filter_data, const RuntimeShape& bias_shape,
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const float* bias_data, const RuntimeShape& output_shape,
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float* output_data) {
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const int stride_width = params.stride_width;
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const int stride_height = params.stride_height;
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const int dilation_width_factor = params.dilation_width_factor;
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const int dilation_height_factor = params.dilation_height_factor;
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const int pad_width = params.padding_values.width;
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const int pad_height = params.padding_values.height;
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const int depth_multiplier = params.depth_multiplier;
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const float output_activation_min = params.float_activation_min;
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const float output_activation_max = params.float_activation_max;
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TFLITE_DCHECK_EQ(input_shape.DimensionsCount(), 4);
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TFLITE_DCHECK_EQ(filter_shape.DimensionsCount(), 4);
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TFLITE_DCHECK_EQ(output_shape.DimensionsCount(), 4);
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const int batches = MatchingDim(input_shape, 0, output_shape, 0);
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const int output_depth = MatchingDim(filter_shape, 3, output_shape, 3);
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const int input_height = input_shape.Dims(1);
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const int input_width = input_shape.Dims(2);
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const int input_depth = input_shape.Dims(3);
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const int filter_height = filter_shape.Dims(1);
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const int filter_width = filter_shape.Dims(2);
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const int output_height = output_shape.Dims(1);
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const int output_width = output_shape.Dims(2);
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TFLITE_DCHECK_EQ(output_depth, input_depth * depth_multiplier);
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TFLITE_DCHECK_EQ(bias_shape.FlatSize(), output_depth);
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for (int b = 0; b < batches; ++b) {
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for (int out_y = 0; out_y < output_height; ++out_y) {
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for (int out_x = 0; out_x < output_width; ++out_x) {
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for (int ic = 0; ic < input_depth; ++ic) {
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for (int m = 0; m < depth_multiplier; m++) {
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const int oc = m + ic * depth_multiplier;
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const int in_x_origin = (out_x * stride_width) - pad_width;
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const int in_y_origin = (out_y * stride_height) - pad_height;
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float total = 0.f;
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for (int filter_y = 0; filter_y < filter_height; ++filter_y) {
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for (int filter_x = 0; filter_x < filter_width; ++filter_x) {
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const int in_x = in_x_origin + dilation_width_factor * filter_x;
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const int in_y =
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in_y_origin + dilation_height_factor * filter_y;
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// If the location is outside the bounds of the input image,
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// use zero as a default value.
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if ((in_x >= 0) && (in_x < input_width) && (in_y >= 0) &&
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(in_y < input_height)) {
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float input_value =
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input_data[Offset(input_shape, b, in_y, in_x, ic)];
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float filter_value = filter_data[Offset(
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filter_shape, 0, filter_y, filter_x, oc)];
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total += (input_value * filter_value);
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}
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}
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}
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float bias_value = 0.0f;
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if (bias_data) {
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bias_value = bias_data[oc];
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}
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output_data[Offset(output_shape, b, out_y, out_x, oc)] =
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ActivationFunctionWithMinMax(total + bias_value,
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output_activation_min,
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output_activation_max);
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}
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}
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}
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}
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}
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}
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} // end namespace reference_ops
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} // end namespace tflite
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#endif // TENSORFLOW_LITE_KERNELS_INTERNAL_REFERENCE_DEPTHWISECONV_FLOAT_H_
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