1 /*
2 * Copyright (c) 2017-2020 Arm Limited.
3 *
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 #include "arm_compute/runtime/GLES_COMPUTE/functions/GCDirectConvolutionLayer.h"
25
26 #include "arm_compute/core/GLES_COMPUTE/IGCTensor.h"
27 #include "arm_compute/core/GLES_COMPUTE/kernels/GCDirectConvolutionLayerKernel.h"
28 #include "arm_compute/core/Helpers.h"
29 #include "arm_compute/core/PixelValue.h"
30 #include "arm_compute/core/TensorInfo.h"
31 #include "arm_compute/core/Utils.h"
32 #include "arm_compute/runtime/GLES_COMPUTE/GCScheduler.h"
33 #include "support/MemorySupport.h"
34
35 using namespace arm_compute;
36
GCDirectConvolutionLayer()37 GCDirectConvolutionLayer::GCDirectConvolutionLayer()
38 : _kernel(nullptr), _border_handler(), _shift_handler()
39 {
40 }
41
configure(IGCTensor * input,const IGCTensor * weights,const IGCTensor * biases,IGCTensor * output,const PadStrideInfo & conv_info,const ActivationLayerInfo & act_info)42 void GCDirectConvolutionLayer::configure(IGCTensor *input, const IGCTensor *weights, const IGCTensor *biases, IGCTensor *output, const PadStrideInfo &conv_info,
43 const ActivationLayerInfo &act_info)
44 {
45 int kernel_size = weights->info()->dimension(0);
46
47 if(kernel_size == 1)
48 {
49 auto k = arm_compute::support::cpp14::make_unique<GCDirectConvolutionLayer1x1Kernel>();
50 k->configure(input, weights, biases, output, conv_info, act_info);
51 _kernel = std::move(k);
52 }
53 else if(kernel_size == 3)
54 {
55 auto k = arm_compute::support::cpp14::make_unique<GCDirectConvolutionLayer3x3Kernel>();
56 k->configure(input, weights, biases, output, conv_info, act_info);
57 _kernel = std::move(k);
58 }
59 else if(kernel_size == 5)
60 {
61 auto k = arm_compute::support::cpp14::make_unique<GCDirectConvolutionLayer5x5Kernel>();
62 k->configure(input, weights, biases, output, conv_info, act_info);
63 _kernel = std::move(k);
64 }
65 else
66 {
67 ARM_COMPUTE_ERROR("kernel size unsupported!");
68 return;
69 }
70
71 _border_handler.configure(input, _kernel->border_size(), BorderMode::CONSTANT, PixelValue());
72
73 _shift_handler.configure(input);
74 }
75
run()76 void GCDirectConvolutionLayer::run()
77 {
78 GCScheduler::get().dispatch(_shift_handler, false);
79 GCScheduler::get().memory_barrier();
80 GCScheduler::get().dispatch(_border_handler, false);
81 GCScheduler::get().memory_barrier();
82 GCScheduler::get().dispatch(*_kernel);
83 GCScheduler::get().memory_barrier();
84 GCScheduler::get().dispatch(_shift_handler);
85 }
86