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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{
37/** Fixture that can be used for NEON and CL */
38template <typename TensorType, typename Function, typename Accessor>
39class DepthwiseSeparableConvolutionLayerFixture : public framework::Fixture
40{
41public:
42 template <typename...>
Georgios Pinitas81a26ad2017-10-23 20:29:30 +010043 void setup(TensorShape src_shape, TensorShape depthwise_weights_shape, TensorShape depthwise_biases_shape, TensorShape depthwise_out_shape, TensorShape pointwise_weights_shape,
44 TensorShape pointwise_biases_shape, TensorShape dst_shape,
Giorgio Arena93a690e2017-08-01 16:09:33 +010045 PadStrideInfo pad_stride_depthwise_info, PadStrideInfo pad_stride_pointwise_info, DataType data_type, int batches)
46 {
47 // Set batched in source and destination shapes
48 const unsigned int fixed_point_position = 4;
49 src_shape.set(3 /* batch */, batches);
50 depthwise_out_shape.set(3 /* batch */, batches);
51 dst_shape.set(3 /* batch */, batches);
52
53 src = create_tensor<TensorType>(src_shape, data_type, 1, fixed_point_position);
54 depthwise_weights = create_tensor<TensorType>(depthwise_weights_shape, data_type, 1, fixed_point_position);
Georgios Pinitas81a26ad2017-10-23 20:29:30 +010055 depthwise_biases = create_tensor<TensorType>(depthwise_biases_shape, data_type, 1, fixed_point_position);
Giorgio Arena93a690e2017-08-01 16:09:33 +010056 depthwise_out = create_tensor<TensorType>(depthwise_out_shape, data_type, 1, fixed_point_position);
57 pointwise_weights = create_tensor<TensorType>(pointwise_weights_shape, data_type, 1, fixed_point_position);
Georgios Pinitas81a26ad2017-10-23 20:29:30 +010058 pointwise_biases = create_tensor<TensorType>(pointwise_biases_shape, data_type, 1, fixed_point_position);
Giorgio Arena93a690e2017-08-01 16:09:33 +010059 dst = create_tensor<TensorType>(dst_shape, data_type, 1, fixed_point_position);
60
61 // Create and configure function
Georgios Pinitas81a26ad2017-10-23 20:29:30 +010062 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 +010063
64 // Allocate tensors
65 src.allocator()->allocate();
66 depthwise_weights.allocator()->allocate();
Georgios Pinitas81a26ad2017-10-23 20:29:30 +010067 depthwise_biases.allocator()->allocate();
Giorgio Arena93a690e2017-08-01 16:09:33 +010068 depthwise_out.allocator()->allocate();
69 pointwise_weights.allocator()->allocate();
Georgios Pinitas81a26ad2017-10-23 20:29:30 +010070 pointwise_biases.allocator()->allocate();
Giorgio Arena93a690e2017-08-01 16:09:33 +010071 dst.allocator()->allocate();
Giorgio Arena93a690e2017-08-01 16:09:33 +010072 }
73
74 void run()
75 {
76 depth_sep_conv_layer.run();
77 }
78
Joel Liang1c5ffd62017-12-28 10:09:51 +080079 void sync()
80 {
81 sync_if_necessary<TensorType>();
82 sync_tensor_if_necessary<TensorType>(dst);
83 }
84
Giorgio Arena93a690e2017-08-01 16:09:33 +010085 void teardown()
86 {
87 src.allocator()->free();
88 depthwise_weights.allocator()->free();
Georgios Pinitas81a26ad2017-10-23 20:29:30 +010089 depthwise_biases.allocator()->free();
Giorgio Arena93a690e2017-08-01 16:09:33 +010090 depthwise_out.allocator()->free();
91 pointwise_weights.allocator()->free();
Georgios Pinitas81a26ad2017-10-23 20:29:30 +010092 pointwise_biases.allocator()->free();
Giorgio Arena93a690e2017-08-01 16:09:33 +010093 dst.allocator()->free();
94 }
95
96private:
97 TensorType src{};
98 TensorType depthwise_weights{};
Georgios Pinitas81a26ad2017-10-23 20:29:30 +010099 TensorType depthwise_biases{};
Giorgio Arena93a690e2017-08-01 16:09:33 +0100100 TensorType depthwise_out{};
101 TensorType pointwise_weights{};
Georgios Pinitas81a26ad2017-10-23 20:29:30 +0100102 TensorType pointwise_biases{};
Giorgio Arena93a690e2017-08-01 16:09:33 +0100103 TensorType dst{};
104 Function depth_sep_conv_layer{};
105};
106} // namespace test
107} // namespace arm_compute
108#endif /* ARM_COMPUTE_TEST_DEPTHWISESEPARABLECONVOLUTIONLAYERFIXTURE */