25b71066b5
Imported from GitHub PR #28079 This is to remove the gemmlowp dependency. Copybara import of the project: - a972909b44dc492bb534efe56e4b81f8bb0558c1 Moved strided slide ops from reference to its own. by Amit Srivastava <amit.srivastava@huawei.com> - cee8e4bc29e274ff12949cc045f13d8c1f4740d1 Merge a972909b44dc492bb534efe56e4b81f8bb0558c1 into 8db90... by Amit <30853054+amitsrivastava78@users.noreply.github.com> COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/tensorflow/pull/28079 from amitsrivastava78:move_strided_slice a972909b44dc492bb534efe56e4b81f8bb0558c1 PiperOrigin-RevId: 257451365
81 lines
3.5 KiB
C++
81 lines
3.5 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_STRIDED_SLICE_H_
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#define TENSORFLOW_LITE_KERNELS_INTERNAL_REFERENCE_STRIDED_SLICE_H_
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#include "tensorflow/lite/kernels/internal/common.h"
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#include "tensorflow/lite/kernels/internal/strided_slice_logic.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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template <typename T>
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inline void StridedSlice(const tflite::StridedSliceParams& op_params,
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const RuntimeShape& unextended_input_shape,
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const T* input_data,
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const RuntimeShape& unextended_output_shape,
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T* output_data) {
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// Note that the output_shape is not used herein.
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tflite::StridedSliceParams params_copy = op_params;
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TFLITE_DCHECK_LE(unextended_input_shape.DimensionsCount(), 4);
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TFLITE_DCHECK_LE(unextended_output_shape.DimensionsCount(), 4);
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const RuntimeShape input_shape =
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RuntimeShape::ExtendedShape(4, unextended_input_shape);
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const RuntimeShape output_shape =
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RuntimeShape::ExtendedShape(4, unextended_output_shape);
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// Reverse and pad to 4 dimensions because that is what the runtime code
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// requires (ie. all shapes must be 4D and are given backwards).
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strided_slice::StridedSlicePadIndices(¶ms_copy, 4);
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const int start_b = strided_slice::StartForAxis(params_copy, input_shape, 0);
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const int stop_b =
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strided_slice::StopForAxis(params_copy, input_shape, 0, start_b);
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const int start_h = strided_slice::StartForAxis(params_copy, input_shape, 1);
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const int stop_h =
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strided_slice::StopForAxis(params_copy, input_shape, 1, start_h);
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const int start_w = strided_slice::StartForAxis(params_copy, input_shape, 2);
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const int stop_w =
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strided_slice::StopForAxis(params_copy, input_shape, 2, start_w);
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const int start_d = strided_slice::StartForAxis(params_copy, input_shape, 3);
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const int stop_d =
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strided_slice::StopForAxis(params_copy, input_shape, 3, start_d);
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T* out_ptr = output_data;
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for (int in_b = start_b;
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!strided_slice::LoopCondition(in_b, stop_b, params_copy.strides[0]);
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in_b += params_copy.strides[0]) {
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for (int in_h = start_h;
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!strided_slice::LoopCondition(in_h, stop_h, params_copy.strides[1]);
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in_h += params_copy.strides[1]) {
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for (int in_w = start_w;
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!strided_slice::LoopCondition(in_w, stop_w, params_copy.strides[2]);
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in_w += params_copy.strides[2]) {
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for (int in_d = start_d; !strided_slice::LoopCondition(
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in_d, stop_d, params_copy.strides[3]);
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in_d += params_copy.strides[3]) {
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*out_ptr++ = input_data[Offset(input_shape, in_b, in_h, in_w, in_d)];
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}
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}
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}
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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_STRIDED_SLICE_H_
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