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 #include "src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel.h"
25
26 #include "arm_compute/core/CL/CLHelpers.h"
27 #include "arm_compute/core/CL/ICLTensor.h"
28 #include "arm_compute/core/Helpers.h"
29 #include "arm_compute/core/TensorInfo.h"
30 #include "arm_compute/core/Validate.h"
31 #include "arm_compute/core/utils/misc/ShapeCalculator.h"
32 #include "arm_compute/core/utils/quantization/AsymmHelpers.h"
33 #include "src/core/AccessWindowStatic.h"
34 #include "src/core/helpers/AutoConfiguration.h"
35 #include "src/core/helpers/WindowHelpers.h"
36 #include "support/StringSupport.h"
37
38 namespace arm_compute
39 {
40 namespace
41 {
validate_arguments(const ITensorInfo * input,const ITensorInfo * bias,const ITensorInfo * output,const GEMMLowpOutputStageInfo * info)42 Status validate_arguments(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output,
43 const GEMMLowpOutputStageInfo *info)
44 {
45 ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::S32);
46 ARM_COMPUTE_RETURN_ERROR_ON((info->output_data_type != DataType::QASYMM8) && (info->output_data_type != DataType::QASYMM8_SIGNED));
47 ARM_COMPUTE_RETURN_ERROR_ON(info->gemmlowp_max_bound > std::get<1>(quantization::get_min_max_values_from_quantized_data_type(info->output_data_type)));
48 ARM_COMPUTE_RETURN_ERROR_ON(info->gemmlowp_min_bound < std::get<0>(quantization::get_min_max_values_from_quantized_data_type(info->output_data_type))
49 || info->gemmlowp_min_bound > info->gemmlowp_max_bound);
50
51 // Check biases if exist
52 if(bias != nullptr)
53 {
54 ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, bias);
55 ARM_COMPUTE_RETURN_ERROR_ON(bias->num_dimensions() > 1);
56 ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(0) != bias->dimension(0));
57 }
58
59 if(output->total_size() != 0)
60 {
61 ARM_COMPUTE_RETURN_ERROR_ON_MSG(output->data_type() != info->output_data_type, "Mismatching output data type");
62 ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output);
63 }
64
65 return Status{};
66 }
67 } // namespace
68
69 class Coordinates;
CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel()70 CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel::CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel()
71 : _input(nullptr), _bias(nullptr), _output(nullptr)
72 {
73 }
74
validate(const ITensorInfo * input,const ITensorInfo * bias,const ITensorInfo * output,const GEMMLowpOutputStageInfo * info)75 Status CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel::validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output,
76 const GEMMLowpOutputStageInfo *info)
77 {
78 ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
79 ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, bias, output, info));
80
81 return Status{};
82 }
83
configure(const ICLTensor * input,const ICLTensor * bias,ICLTensor * output,const GEMMLowpOutputStageInfo * info)84 void CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel::configure(const ICLTensor *input, const ICLTensor *bias, ICLTensor *output,
85 const GEMMLowpOutputStageInfo *info)
86 {
87 configure(CLKernelLibrary::get().get_compile_context(), input, bias, output, info);
88 }
89
configure(const CLCompileContext & compile_context,const ICLTensor * input,const ICLTensor * bias,ICLTensor * output,const GEMMLowpOutputStageInfo * info)90 void CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *bias, ICLTensor *output,
91 const GEMMLowpOutputStageInfo *info)
92 {
93 // Perform validate step
94 ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
95 ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), (bias != nullptr) ? bias->info() : nullptr, output->info(), info));
96
97 auto padding_info = get_padding_info({ input, bias, output });
98
99 // Output auto inizialitation if not yet initialized
100 auto_init_if_empty(*output->info(), input->info()->clone()->set_data_type(info->output_data_type));
101
102 _input = input;
103 _bias = bias;
104 _output = output;
105
106 const unsigned int num_elems_processed_per_iteration = adjust_vec_size(4, input->info()->dimension(0));
107
108 auto min = info->gemmlowp_min_bound;
109 auto max = info->gemmlowp_max_bound;
110
111 // Set the arguments to pass at compile time
112 CLBuildOptions build_opts;
113 build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(num_elems_processed_per_iteration));
114 build_opts.add_option("-DVEC_SIZE_LEFTOVER=" + support::cpp11::to_string(input->info()->dimension(0) % num_elems_processed_per_iteration));
115 build_opts.add_option("-DREAL_MULTIPLIER=" + float_to_string_with_full_precision(info->gemmlowp_real_multiplier));
116 build_opts.add_option("-DOUTPUT_OFFSET=" + support::cpp11::to_string(info->gemmlowp_offset));
117 build_opts.add_option("-DOUTPUT_DATA_TYPE=" + get_cl_type_from_data_type(output->info()->data_type()));
118 build_opts.add_option_if((min > 0), "-DMIN_BOUND=" + support::cpp11::to_string(min));
119 build_opts.add_option_if((max < 255), "-DMAX_BOUND=" + support::cpp11::to_string(max));
120 build_opts.add_option_if(bias != nullptr, "-DADD_BIAS");
121
122 // Create kernel
123 _kernel = create_kernel(compile_context, "gemmlowp_output_stage_quantize_down_float", build_opts.options());
124
125 // Configure kernel window
126 Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration));
127 ICLKernel::configure_internal(win);
128
129 ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info));
130 }
131
run(const Window & window,cl::CommandQueue & queue)132 void CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel::run(const Window &window, cl::CommandQueue &queue)
133 {
134 ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
135 ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
136
137 // Create input window
138 Window collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ);
139 Window slice = collapsed.first_slice_window_3D();
140
141 // Setup bias slice
142 unsigned int idx1 = num_arguments_per_3D_tensor();
143 if(_bias != nullptr)
144 {
145 Window biases_slice(slice);
146 biases_slice.set(Window::DimY, Window::Dimension(0, 1, 1));
147 biases_slice.set(Window::DimZ, Window::Dimension(0, 1, 1));
148 add_1D_tensor_argument(idx1, _bias, biases_slice);
149 }
150
151 do
152 {
153 unsigned int idx = 0;
154 add_3D_tensor_argument(idx, _input, slice);
155 add_3D_tensor_argument(idx1, _output, slice);
156 enqueue(queue, *this, slice, lws_hint());
157 }
158 while(collapsed.slide_window_slice_3D(slice));
159 }
160 } // namespace arm_compute
161