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 "src/core/CL/kernels/CLROIPoolingLayerKernel.h"
25
26 #include "arm_compute/core/CL/CLHelpers.h"
27 #include "arm_compute/core/CL/CLKernelLibrary.h"
28 #include "arm_compute/core/CL/ICLTensor.h"
29 #include "arm_compute/core/CL/OpenCL.h"
30 #include "arm_compute/core/Helpers.h"
31 #include "arm_compute/core/TensorInfo.h"
32 #include "arm_compute/core/Utils.h"
33 #include "src/core/CL/CLValidate.h"
34 #include "src/core/helpers/AutoConfiguration.h"
35 #include "src/core/helpers/WindowHelpers.h"
36 #include "support/StringSupport.h"
37
38 #include <cfloat>
39 #include <cmath>
40 #include <string>
41
42 namespace arm_compute
43 {
CLROIPoolingLayerKernel()44 CLROIPoolingLayerKernel::CLROIPoolingLayerKernel()
45 : _input(nullptr), _rois(nullptr), _output(nullptr), _pool_info(0, 0, 0.f)
46 {
47 _type = CLKernelType::ELEMENTWISE;
48 }
49
validate(const ITensorInfo * input,const ITensorInfo * rois,const ITensorInfo * output,const ROIPoolingLayerInfo & pool_info)50 Status CLROIPoolingLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *rois, const ITensorInfo *output, const ROIPoolingLayerInfo &pool_info)
51 {
52 ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, rois, output);
53
54 //Validate arguments
55 ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, rois, output);
56 ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(rois, 1, DataType::U16);
57 ARM_COMPUTE_RETURN_ERROR_ON(rois->dimension(0) != 5);
58 ARM_COMPUTE_RETURN_ERROR_ON(rois->num_dimensions() > 2);
59 ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input);
60 ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32, DataType::F16, DataType::QASYMM8);
61 ARM_COMPUTE_RETURN_ERROR_ON((pool_info.pooled_width() == 0) || (pool_info.pooled_height() == 0));
62
63 if(output->total_size() != 0)
64 {
65 ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
66 ARM_COMPUTE_RETURN_ERROR_ON((output->dimension(0) != pool_info.pooled_width()) || (output->dimension(1) != pool_info.pooled_height()));
67 ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(2) != output->dimension(2));
68 ARM_COMPUTE_RETURN_ERROR_ON(rois->dimension(1) != output->dimension(3));
69 }
70
71 return Status{};
72 }
73
configure(const ICLTensor * input,const ICLTensor * rois,ICLTensor * output,const ROIPoolingLayerInfo & pool_info)74 void CLROIPoolingLayerKernel::configure(const ICLTensor *input, const ICLTensor *rois, ICLTensor *output, const ROIPoolingLayerInfo &pool_info)
75 {
76 configure(CLKernelLibrary::get().get_compile_context(), input, rois, output, pool_info);
77 }
78
configure(const CLCompileContext & compile_context,const ICLTensor * input,const ICLTensor * rois,const ICLTensor * output,const ROIPoolingLayerInfo & pool_info)79 void CLROIPoolingLayerKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *rois, const ICLTensor *output, const ROIPoolingLayerInfo &pool_info)
80 {
81 ARM_COMPUTE_ERROR_THROW_ON(CLROIPoolingLayerKernel::validate(input->info(), rois->info(), output->info(), pool_info));
82
83 auto padding_info = get_padding_info({ input, rois, output });
84
85 // Output auto initialization if not yet initialized
86 TensorShape output_shape(pool_info.pooled_width(), pool_info.pooled_height(), input->info()->dimension(2), rois->info()->dimension(1));
87 auto_init_if_empty(*(output->info()), output_shape, 1, input->info()->data_type(), output->info()->quantization_info());
88
89 // Set instance variables
90 _input = input;
91 _rois = rois;
92 _output = output;
93 _pool_info = pool_info;
94
95 const DataType data_type = input->info()->data_type();
96 const bool is_qasymm = is_data_type_quantized_asymmetric(data_type);
97
98 // Set build options
99 CLBuildOptions build_opts;
100 build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(data_type));
101 build_opts.add_option("-DDATA_SIZE=" + get_data_size_from_data_type(data_type));
102 build_opts.add_option("-DMAX_DIM_X=" + support::cpp11::to_string(_input->info()->dimension(Window::DimX)));
103 build_opts.add_option("-DMAX_DIM_Y=" + support::cpp11::to_string(_input->info()->dimension(Window::DimY)));
104 build_opts.add_option("-DMAX_DIM_Z=" + support::cpp11::to_string(_input->info()->dimension(Window::DimZ)));
105 build_opts.add_option("-DPOOLED_DIM_X=" + support::cpp11::to_string(pool_info.pooled_width()));
106 build_opts.add_option("-DPOOLED_DIM_Y=" + support::cpp11::to_string(pool_info.pooled_height()));
107 build_opts.add_option("-DSPATIAL_SCALE=" + support::cpp11::to_string(pool_info.spatial_scale()));
108
109 if(is_qasymm)
110 {
111 // Determine quantization info scale, offset
112 UniformQuantizationInfo uqinfo = UniformQuantizationInfo();
113 uqinfo = compute_requantization_scale_offset(_input->info()->quantization_info().uniform(), _output->info()->quantization_info().uniform());
114 build_opts.add_option("-DOFFSET_OUT=" + float_to_string_with_full_precision(uqinfo.offset));
115 build_opts.add_option("-DSCALE_OUT=" + float_to_string_with_full_precision(uqinfo.scale));
116
117 // Specify minimum possible value of datatype
118 build_opts.add_option("-DMIN_VALUE=" + support::cpp11::to_string(0));
119 }
120 else
121 {
122 // Specify min value of F32 datatype
123 build_opts.add_option("-DMIN_VALUE=" + support::cpp11::to_string(-FLT_MAX));
124 }
125
126 Window win = calculate_max_window(*(output->info()), Steps());
127 ICLKernel::configure_internal(win);
128
129 // Create kernel
130 std::string kernel_name = "roi_pooling_layer";
131 _kernel = create_kernel(compile_context, kernel_name, build_opts.options());
132
133 ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info));
134 }
135
run(const Window & window,cl::CommandQueue & queue)136 void CLROIPoolingLayerKernel::run(const Window &window, cl::CommandQueue &queue)
137 {
138 ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
139 ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window);
140
141 Window slice = window.first_slice_window_3D();
142 Window slice_rois = slice;
143 // Parallelize spatially and across the fourth dimension of the output tensor (also across ROITensor)
144 slice_rois.set_dimension_step(Window::DimX, _rois->info()->dimension(0));
145 slice.set(Window::DimZ, window[3]);
146
147 // Set arguments
148 unsigned int idx = 0;
149 add_3D_tensor_argument(idx, _input, slice);
150 add_2D_tensor_argument(idx, _rois, slice_rois);
151 add_3D_tensor_argument(idx, _output, slice);
152 add_argument<cl_uint>(idx, _input->info()->strides_in_bytes()[3]);
153 add_argument<cl_uint>(idx, _output->info()->strides_in_bytes()[3]);
154
155 enqueue(queue, *this, slice, lws_hint());
156 }
157 } // namespace arm_compute
158