1 /*
2 * Copyright (c) 2019-2022 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/CLMeanStdDevNormalizationKernel.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 "src/core/CL/CLValidate.h"
33 #include "src/core/helpers/AutoConfiguration.h"
34 #include "src/core/helpers/WindowHelpers.h"
35 #include "support/StringSupport.h"
36
37 namespace arm_compute
38 {
39 namespace
40 {
validate_arguments(const ITensorInfo * input,const ITensorInfo * output,float epsilon)41 Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, float epsilon)
42 {
43 ARM_COMPUTE_UNUSED(epsilon);
44 ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input);
45 ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input);
46 ARM_COMPUTE_RETURN_ERROR_ON_MSG(input->num_dimensions() > 2, "Input tensor cannot have more than 2 dimensions");
47 ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32);
48
49 // Checks performed when output is configured
50 if((output != nullptr) && (output->total_size() != 0))
51 {
52 ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output);
53 ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
54 }
55 return Status{};
56 }
57 } // namespace
58
CLMeanStdDevNormalizationKernel()59 CLMeanStdDevNormalizationKernel::CLMeanStdDevNormalizationKernel()
60 : _input(nullptr), _output(nullptr), _run_in_place(false)
61 {
62 _type = CLKernelType::ELEMENTWISE;
63 }
64
configure(ICLTensor * input,ICLTensor * output,float epsilon)65 void CLMeanStdDevNormalizationKernel::configure(ICLTensor *input, ICLTensor *output, float epsilon)
66 {
67 configure(CLKernelLibrary::get().get_compile_context(), input, output, epsilon);
68 }
69
configure(const CLCompileContext & compile_context,ICLTensor * input,ICLTensor * output,float epsilon)70 void CLMeanStdDevNormalizationKernel::configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, float epsilon)
71 {
72 ARM_COMPUTE_ERROR_ON_NULLPTR(input);
73
74 _run_in_place = (output == nullptr) || (output == input);
75
76 ARM_COMPUTE_ERROR_THROW_ON(CLMeanStdDevNormalizationKernel::validate(input->info(), (output != nullptr) ? output->info() : nullptr, epsilon));
77
78 if(output != nullptr)
79 {
80 auto_init_if_empty(*output->info(), *input->info());
81 }
82
83 _input = input;
84 _output = output;
85
86 const unsigned int num_elems_processed_per_iteration = adjust_vec_size(16 / input->info()->element_size(), input->info()->dimension(0));
87
88 // Set build options
89 CLBuildOptions build_opts;
90 build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()));
91 build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(num_elems_processed_per_iteration));
92 build_opts.add_option("-DEPSILON=" + float_to_string_with_full_precision(epsilon));
93 build_opts.add_option("-DWIDTH=" + support::cpp11::to_string(input->info()->dimension(0)));
94 build_opts.add_option_if(input->info()->data_type() == DataType::F16, "-DMEANSTDNORM_HALF");
95 build_opts.add_option_if(_run_in_place, "-DIN_PLACE");
96
97 // Create kernel
98 _kernel = create_kernel(compile_context, "mean_stddev_normalization", build_opts.options());
99
100 // Configure kernel window
101 Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration));
102 ICLKernel::configure_internal(win);
103
104 // Set config_id for enabling LWS tuning
105 _config_id = "mean_stddev_normalization_layer_";
106 _config_id += lower_string(string_from_data_type(input->info()->data_type()));
107 _config_id += "_";
108 _config_id += support::cpp11::to_string(input->info()->dimension(0));
109 _config_id += "_";
110 _config_id += support::cpp11::to_string(input->info()->dimension(1));
111 }
112
validate(const ITensorInfo * input,const ITensorInfo * output,float epsilon)113 Status CLMeanStdDevNormalizationKernel::validate(const ITensorInfo *input, const ITensorInfo *output, float epsilon)
114 {
115 ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, epsilon));
116 return Status{};
117 }
118
run(const Window & window,cl::CommandQueue & queue)119 void CLMeanStdDevNormalizationKernel::run(const Window &window, cl::CommandQueue &queue)
120 {
121 ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
122 ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
123
124 Window slice = window.first_slice_window_2D();
125 // Set slice step equal to width to force gws[0] to 1, as each thread normalizes across all rows
126 slice.set_dimension_step(Window::DimX, _input->info()->dimension(0));
127
128 do
129 {
130 unsigned int idx = 0;
131 add_2D_tensor_argument(idx, _input, slice);
132 add_2D_tensor_argument_if((!_run_in_place), idx, _output, slice);
133
134 enqueue(queue, *this, slice, lws_hint());
135 }
136 while(window.slide_window_slice_2D(slice));
137 }
138 } // namespace arm_compute
139