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Giorgio Arena93a690e2017-08-01 16:09:33 +01001/*
Anthony Barbier72856ab2018-01-11 10:45:24 +00002 * Copyright (c) 2017-2018 ARM Limited.
Giorgio Arena93a690e2017-08-01 16:09:33 +01003 *
4 * SPDX-License-Identifier: MIT
5 *
6 * Permission is hereby granted, free of charge, to any person obtaining a copy
7 * of this software and associated documentation files (the "Software"), to
8 * deal in the Software without restriction, including without limitation the
9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
10 * sell copies of the Software, and to permit persons to whom the Software is
11 * furnished to do so, subject to the following conditions:
12 *
13 * The above copyright notice and this permission notice shall be included in all
14 * copies or substantial portions of the Software.
15 *
16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22 * SOFTWARE.
23 */
24#ifndef ARM_COMPUTE_TEST_DEPTHWISESEPARABLECONVOLUTIONLAYERFIXTURE
25#define ARM_COMPUTE_TEST_DEPTHWISESEPARABLECONVOLUTIONLAYERFIXTURE
26
27#include "arm_compute/core/TensorShape.h"
28#include "arm_compute/core/Types.h"
Giorgio Arena93a690e2017-08-01 16:09:33 +010029#include "tests/Globals.h"
30#include "tests/Utils.h"
Moritz Pflanzera09de0c2017-09-01 20:41:12 +010031#include "tests/framework/Fixture.h"
Giorgio Arena93a690e2017-08-01 16:09:33 +010032
33namespace arm_compute
34{
35namespace test
36{
Michalis Spyrou724079d2017-12-15 11:37:37 +000037namespace benchmark
38{
Giorgio Arena93a690e2017-08-01 16:09:33 +010039/** Fixture that can be used for NEON and CL */
40template <typename TensorType, typename Function, typename Accessor>
41class DepthwiseSeparableConvolutionLayerFixture : public framework::Fixture
42{
43public:
44 template <typename...>
Georgios Pinitas81a26ad2017-10-23 20:29:30 +010045 void setup(TensorShape src_shape, TensorShape depthwise_weights_shape, TensorShape depthwise_biases_shape, TensorShape depthwise_out_shape, TensorShape pointwise_weights_shape,
46 TensorShape pointwise_biases_shape, TensorShape dst_shape,
Giorgio Arena93a690e2017-08-01 16:09:33 +010047 PadStrideInfo pad_stride_depthwise_info, PadStrideInfo pad_stride_pointwise_info, DataType data_type, int batches)
48 {
49 // Set batched in source and destination shapes
Vidhya Sudhan Loganathan014333d2018-07-02 09:13:49 +010050
Giorgio Arena93a690e2017-08-01 16:09:33 +010051 src_shape.set(3 /* batch */, batches);
52 depthwise_out_shape.set(3 /* batch */, batches);
53 dst_shape.set(3 /* batch */, batches);
54
Vidhya Sudhan Loganathan014333d2018-07-02 09:13:49 +010055 src = create_tensor<TensorType>(src_shape, data_type, 1);
56 depthwise_weights = create_tensor<TensorType>(depthwise_weights_shape, data_type, 1);
57 depthwise_biases = create_tensor<TensorType>(depthwise_biases_shape, data_type, 1);
58 depthwise_out = create_tensor<TensorType>(depthwise_out_shape, data_type, 1);
59 pointwise_weights = create_tensor<TensorType>(pointwise_weights_shape, data_type, 1);
60 pointwise_biases = create_tensor<TensorType>(pointwise_biases_shape, data_type, 1);
61 dst = create_tensor<TensorType>(dst_shape, data_type, 1);
Giorgio Arena93a690e2017-08-01 16:09:33 +010062
63 // Create and configure function
Georgios Pinitas81a26ad2017-10-23 20:29:30 +010064 depth_sep_conv_layer.configure(&src, &depthwise_weights, &depthwise_biases, &depthwise_out, &pointwise_weights, &pointwise_biases, &dst, pad_stride_depthwise_info, pad_stride_pointwise_info);
Giorgio Arena93a690e2017-08-01 16:09:33 +010065
66 // Allocate tensors
67 src.allocator()->allocate();
68 depthwise_weights.allocator()->allocate();
Georgios Pinitas81a26ad2017-10-23 20:29:30 +010069 depthwise_biases.allocator()->allocate();
Giorgio Arena93a690e2017-08-01 16:09:33 +010070 depthwise_out.allocator()->allocate();
71 pointwise_weights.allocator()->allocate();
Georgios Pinitas81a26ad2017-10-23 20:29:30 +010072 pointwise_biases.allocator()->allocate();
Giorgio Arena93a690e2017-08-01 16:09:33 +010073 dst.allocator()->allocate();
Giorgio Arena93a690e2017-08-01 16:09:33 +010074 }
75
76 void run()
77 {
78 depth_sep_conv_layer.run();
79 }
80
Joel Liang1c5ffd62017-12-28 10:09:51 +080081 void sync()
82 {
83 sync_if_necessary<TensorType>();
84 sync_tensor_if_necessary<TensorType>(dst);
85 }
86
Giorgio Arena93a690e2017-08-01 16:09:33 +010087 void teardown()
88 {
89 src.allocator()->free();
90 depthwise_weights.allocator()->free();
Georgios Pinitas81a26ad2017-10-23 20:29:30 +010091 depthwise_biases.allocator()->free();
Giorgio Arena93a690e2017-08-01 16:09:33 +010092 depthwise_out.allocator()->free();
93 pointwise_weights.allocator()->free();
Georgios Pinitas81a26ad2017-10-23 20:29:30 +010094 pointwise_biases.allocator()->free();
Giorgio Arena93a690e2017-08-01 16:09:33 +010095 dst.allocator()->free();
96 }
97
98private:
99 TensorType src{};
100 TensorType depthwise_weights{};
Georgios Pinitas81a26ad2017-10-23 20:29:30 +0100101 TensorType depthwise_biases{};
Giorgio Arena93a690e2017-08-01 16:09:33 +0100102 TensorType depthwise_out{};
103 TensorType pointwise_weights{};
Georgios Pinitas81a26ad2017-10-23 20:29:30 +0100104 TensorType pointwise_biases{};
Giorgio Arena93a690e2017-08-01 16:09:33 +0100105 TensorType dst{};
106 Function depth_sep_conv_layer{};
107};
Michalis Spyrou724079d2017-12-15 11:37:37 +0000108} // namespace benchmark
Giorgio Arena93a690e2017-08-01 16:09:33 +0100109} // namespace test
110} // namespace arm_compute
111#endif /* ARM_COMPUTE_TEST_DEPTHWISESEPARABLECONVOLUTIONLAYERFIXTURE */