1 /*
2 * Copyright (c) 2017-2021 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/CL/functions/CLL2NormalizeLayer.h"
25
26 #include "arm_compute/core/CL/ICLTensor.h"
27 #include "arm_compute/core/Error.h"
28 #include "arm_compute/core/PixelValue.h"
29 #include "arm_compute/core/TensorInfo.h"
30 #include "arm_compute/core/Validate.h"
31 #include "arm_compute/runtime/CL/CLScheduler.h"
32 #include "src/core/CL/kernels/CLFillBorderKernel.h"
33 #include "src/core/CL/kernels/CLL2NormalizeLayerKernel.h"
34 #include "src/core/CL/kernels/CLReductionOperationKernel.h"
35
36 #include "src/common/utils/Log.h"
37
38 namespace arm_compute
39 {
40 namespace
41 {
42 constexpr int max_input_tensor_dim = 3;
43 } // namespace
44
CLL2NormalizeLayer(std::shared_ptr<IMemoryManager> memory_manager)45 CLL2NormalizeLayer::CLL2NormalizeLayer(std::shared_ptr<IMemoryManager> memory_manager)
46 : _memory_group(std::move(memory_manager)),
47 _reduce_func(),
48 _normalize_kernel(std::make_unique<CLL2NormalizeLayerKernel>()),
49 _sumsq()
50 {
51 }
52
53 CLL2NormalizeLayer::~CLL2NormalizeLayer() = default;
54
configure(ICLTensor * input,ICLTensor * output,int axis,float epsilon)55 void CLL2NormalizeLayer::configure(ICLTensor *input, ICLTensor *output, int axis, float epsilon)
56 {
57 configure(CLKernelLibrary::get().get_compile_context(), input, output, axis, epsilon);
58 }
59
configure(const CLCompileContext & compile_context,ICLTensor * input,ICLTensor * output,int axis,float epsilon)60 void CLL2NormalizeLayer::configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, int axis, float epsilon)
61 {
62 ARM_COMPUTE_LOG_PARAMS(input, output, axis, epsilon);
63
64 // Reset auxiliary tensor
65 _sumsq.allocator()->init(TensorInfo());
66
67 // Manage intermediate buffers
68 _memory_group.manage(&_sumsq);
69
70 // Configure kernels
71 const uint32_t actual_axis = wrap_around(axis, max_input_tensor_dim);
72 _reduce_func.configure(compile_context, input, &_sumsq, actual_axis, ReductionOperation::SUM_SQUARE);
73 _normalize_kernel->configure(compile_context, input, &_sumsq, output, axis, epsilon);
74
75 // Allocate intermediate tensor
76 _sumsq.allocator()->allocate();
77 }
78
validate(const ITensorInfo * input,const ITensorInfo * output,int axis,float epsilon)79 Status CLL2NormalizeLayer::validate(const ITensorInfo *input, const ITensorInfo *output, int axis, float epsilon)
80 {
81 TensorShape shape(input->tensor_shape());
82
83 // Create intermediate tensor info
84 TensorInfo sum_sq;
85 sum_sq.set_data_type(input->data_type());
86 sum_sq.set_tensor_shape(shape);
87
88 const uint32_t actual_axis = wrap_around(axis, max_input_tensor_dim);
89 ARM_COMPUTE_RETURN_ON_ERROR(CLReductionOperation::validate(input, &sum_sq, actual_axis, ReductionOperation::SUM_SQUARE));
90
91 // Reduce shape on axis
92 shape.set(actual_axis, 1);
93 sum_sq.set_tensor_shape(shape);
94
95 ARM_COMPUTE_RETURN_ON_ERROR(CLL2NormalizeLayerKernel::validate(input, &sum_sq, output, axis, epsilon));
96
97 return Status{};
98 }
99
run()100 void CLL2NormalizeLayer::run()
101 {
102 MemoryGroupResourceScope scope_mg(_memory_group);
103
104 _reduce_func.run();
105 CLScheduler::get().enqueue(*_normalize_kernel, true);
106 }
107 } // namespace arm_compute
108