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1 /*
2  * Copyright (c) 2019-2020 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/CLBatchConcatenateLayerKernel.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/Helpers.h"
30 #include "arm_compute/core/Utils.h"
31 #include "src/core/CL/CLValidate.h"
32 #include "src/core/helpers/WindowHelpers.h"
33 #include "support/Cast.h"
34 
35 #include "support/StringSupport.h"
36 
37 namespace arm_compute
38 {
39 namespace
40 {
validate_arguments(const ITensorInfo * input,unsigned int batch_offset,const ITensorInfo * output)41 Status validate_arguments(const ITensorInfo *input, unsigned int batch_offset, const ITensorInfo *output)
42 {
43     ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
44     ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input);
45     ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() == DataType::UNKNOWN);
46     ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
47 
48     ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(Window::DimX) != output->dimension(Window::DimX));
49     ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(Window::DimY) != output->dimension(Window::DimY));
50     ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(Window::DimZ) != output->dimension(Window::DimZ));
51     ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(3) + batch_offset > output->dimension(3));
52     ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(4, input, output);
53 
54     return Status{};
55 }
56 } // namespace
57 
CLBatchConcatenateLayerKernel()58 CLBatchConcatenateLayerKernel::CLBatchConcatenateLayerKernel()
59     : _batch_offset(0)
60 {
61 }
62 
configure(const CLCompileContext & compile_context,ITensorInfo * input,unsigned int batch_offset,ITensorInfo * output)63 void CLBatchConcatenateLayerKernel::configure(const CLCompileContext &compile_context, ITensorInfo *input, unsigned int batch_offset, ITensorInfo *output)
64 {
65     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
66     ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input, batch_offset, output));
67 
68     auto padding_info = get_padding_info({ input, output });
69 
70     _batch_offset = batch_offset;
71 
72     const unsigned int num_elems_processed_per_iteration = adjust_vec_size(16 / input->element_size(), input->dimension(0));
73 
74     // Add build options
75     CLBuildOptions build_opts;
76     build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input->data_type()));
77     build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(num_elems_processed_per_iteration));
78     build_opts.add_option("-DVEC_SIZE_LEFTOVER=" + support::cpp11::to_string(input->dimension(0) % num_elems_processed_per_iteration));
79     if(is_data_type_quantized_asymmetric(input->data_type()) && input->quantization_info() != output->quantization_info())
80     {
81         const UniformQuantizationInfo iq_info = input->quantization_info().uniform();
82         const UniformQuantizationInfo oq_info = output->quantization_info().uniform();
83 
84         build_opts.add_option("-DOFFSET_IN1=" + float_to_string_with_full_precision(iq_info.offset));
85         build_opts.add_option("-DOFFSET_OUT=" + float_to_string_with_full_precision(oq_info.offset));
86         build_opts.add_option("-DSCALE_IN1=" + float_to_string_with_full_precision(iq_info.scale));
87         build_opts.add_option("-DSCALE_OUT=" + float_to_string_with_full_precision(oq_info.scale));
88     }
89 
90     // Create kernel
91     _kernel = create_kernel(compile_context, "concatenate", build_opts.options());
92 
93     // Configure kernel window
94     auto win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration));
95     win.set(3, Window::Dimension(0, input->tensor_shape()[3], 1));
96     ICLKernel::configure_internal(win);
97 
98     // Set output valid region
99     output->set_valid_region(ValidRegion(Coordinates(), output->tensor_shape()));
100 
101     // Set config_id for enabling LWS tuning
102     _config_id = "concatenate_";
103     _config_id += support::cpp11::to_string(3);
104     _config_id += "_";
105     _config_id += support::cpp11::to_string(batch_offset);
106     _config_id += "_";
107     _config_id += support::cpp11::to_string(input->dimension(0));
108     _config_id += "_";
109     _config_id += support::cpp11::to_string(input->dimension(1));
110     _config_id += "_";
111     _config_id += support::cpp11::to_string(input->dimension(2));
112     _config_id += "_";
113     _config_id += support::cpp11::to_string(input->dimension(3));
114 
115     ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info));
116 }
117 
validate(const arm_compute::ITensorInfo * input,unsigned int batch_offset,const arm_compute::ITensorInfo * output)118 Status CLBatchConcatenateLayerKernel::validate(const arm_compute::ITensorInfo *input,
119                                                unsigned int                    batch_offset,
120                                                const arm_compute::ITensorInfo *output)
121 {
122     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, batch_offset, output));
123     return Status{};
124 }
125 
run_op(ITensorPack & tensors,const Window & window,cl::CommandQueue & queue)126 void CLBatchConcatenateLayerKernel::run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue)
127 {
128     ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
129     ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
130 
131     const auto src = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC));
132     auto       dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST));
133 
134     Window slice = window.first_slice_window_3D();
135 
136     const int offset_to_first_elements_in_bytes = _batch_offset * dst->info()->strides_in_bytes()[3];
137 
138     unsigned int idx = 2 * num_arguments_per_3D_tensor(); // Skip the input and output parameters
139     _kernel.setArg<cl_int>(idx, offset_to_first_elements_in_bytes);
140 
141     do
142     {
143         unsigned int idx = 0;
144         add_3D_tensor_argument(idx, src, slice);
145         add_3D_tensor_argument(idx, dst, slice);
146         enqueue(queue, *this, slice, lws_hint());
147     }
148     while(window.slide_window_slice_3D(slice));
149 }
150 } // namespace arm_compute
151