1 /*
2 * Copyright (c) 2018-2020 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
25 #include "arm_compute/runtime/CL/functions/CLSpaceToBatchLayer.h"
26
27 #include "arm_compute/core/Error.h"
28 #include "arm_compute/core/TensorInfo.h"
29 #include "arm_compute/core/Types.h"
30 #include "arm_compute/core/Validate.h"
31 #include "arm_compute/runtime/CL/CLScheduler.h"
32 #include "src/core/CL/kernels/CLMemsetKernel.h"
33 #include "src/core/CL/kernels/CLSpaceToBatchLayerKernel.h"
34 #include "support/MemorySupport.h"
35
36 namespace arm_compute
37 {
CLSpaceToBatchLayer()38 CLSpaceToBatchLayer::CLSpaceToBatchLayer()
39 : _space_to_batch_kernel(support::cpp14::make_unique<CLSpaceToBatchLayerKernel>()),
40 _memset_kernel(support::cpp14::make_unique<CLMemsetKernel>()),
41 _has_padding(false)
42 {
43 }
44
45 CLSpaceToBatchLayer::~CLSpaceToBatchLayer() = default;
46
configure(const ICLTensor * input,const ICLTensor * block_shape,const ICLTensor * paddings,ICLTensor * output)47 void CLSpaceToBatchLayer::configure(const ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output)
48 {
49 configure(CLKernelLibrary::get().get_compile_context(), input, block_shape, paddings, output);
50 }
51
configure(const CLCompileContext & compile_context,const ICLTensor * input,const ICLTensor * block_shape,const ICLTensor * paddings,ICLTensor * output)52 void CLSpaceToBatchLayer::configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output)
53 {
54 ARM_COMPUTE_ERROR_ON_NULLPTR(input, block_shape, paddings, output);
55
56 if(input->info()->tensor_shape().total_size() != output->info()->tensor_shape().total_size())
57 {
58 _has_padding = true;
59 _memset_kernel->configure(compile_context, output, PixelValue(0, input->info()->data_type(), input->info()->quantization_info()));
60 }
61 _space_to_batch_kernel->configure(compile_context, input, block_shape, paddings, output);
62 }
63
configure(const ICLTensor * input,const int block_shape_x,const int block_shape_y,const Size2D & padding_left,const Size2D & padding_right,ICLTensor * output)64 void CLSpaceToBatchLayer::configure(const ICLTensor *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right, ICLTensor *output)
65 {
66 configure(CLKernelLibrary::get().get_compile_context(), input, block_shape_x, block_shape_y, padding_left, padding_right, output);
67 }
68
configure(const CLCompileContext & compile_context,const ICLTensor * input,const int block_shape_x,const int block_shape_y,const Size2D & padding_left,const Size2D & padding_right,ICLTensor * output)69 void CLSpaceToBatchLayer::configure(const CLCompileContext &compile_context, const ICLTensor *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left,
70 const Size2D &padding_right, ICLTensor *output)
71 {
72 ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
73
74 if(input->info()->tensor_shape().total_size() != output->info()->tensor_shape().total_size())
75 {
76 _has_padding = true;
77 _memset_kernel->configure(compile_context, output, PixelValue(0, input->info()->data_type(), input->info()->quantization_info()));
78 }
79 _space_to_batch_kernel->configure(compile_context, input, block_shape_x, block_shape_y, padding_left, padding_right, output);
80 }
81
validate(const ITensorInfo * input,const ITensorInfo * block_shape,const ITensorInfo * paddings,const ITensorInfo * output)82 Status CLSpaceToBatchLayer::validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *paddings, const ITensorInfo *output)
83 {
84 ARM_COMPUTE_RETURN_ON_ERROR(CLMemsetKernel::validate(output, PixelValue(0, input->data_type(), input->quantization_info())));
85 ARM_COMPUTE_RETURN_ON_ERROR(CLSpaceToBatchLayerKernel::validate(input, block_shape, paddings, output));
86
87 return Status{};
88 }
89
validate(const ITensorInfo * input,const int block_shape_x,const int block_shape_y,const Size2D & padding_left,const Size2D & padding_right,const ITensorInfo * output)90 Status CLSpaceToBatchLayer::validate(const ITensorInfo *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right,
91 const ITensorInfo *output)
92 {
93 ARM_COMPUTE_RETURN_ON_ERROR(CLMemsetKernel::validate(output, PixelValue(0, input->data_type(), input->quantization_info())));
94 ARM_COMPUTE_RETURN_ON_ERROR(CLSpaceToBatchLayerKernel::validate(input, block_shape_x, block_shape_y, padding_left, padding_right, output));
95
96 return Status{};
97 }
98
run()99 void CLSpaceToBatchLayer::run()
100 {
101 // Zero out output only if we have paddings
102 if(_has_padding)
103 {
104 CLScheduler::get().enqueue(*_memset_kernel, true);
105 }
106 CLScheduler::get().enqueue(*_space_to_batch_kernel, true);
107 }
108 } // namespace arm_compute
109