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-rw-r--r--src/core/CL/kernels/CLGEMMMatrixVectorMultiplyKernel.cpp179
1 files changed, 0 insertions, 179 deletions
diff --git a/src/core/CL/kernels/CLGEMMMatrixVectorMultiplyKernel.cpp b/src/core/CL/kernels/CLGEMMMatrixVectorMultiplyKernel.cpp
deleted file mode 100644
index 4e57259cd6..0000000000
--- a/src/core/CL/kernels/CLGEMMMatrixVectorMultiplyKernel.cpp
+++ /dev/null
@@ -1,179 +0,0 @@
-/*
- * Copyright (c) 2017-2020 ARM Limited.
- *
- * SPDX-License-Identifier: MIT
- *
- * Permission is hereby granted, free of charge, to any person obtaining a copy
- * of this software and associated documentation files (the "Software"), to
- * deal in the Software without restriction, including without limitation the
- * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
- * sell copies of the Software, and to permit persons to whom the Software is
- * furnished to do so, subject to the following conditions:
- *
- * The above copyright notice and this permission notice shall be included in all
- * copies or substantial portions of the Software.
- *
- * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
- * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
- * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
- * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
- * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
- * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
- * SOFTWARE.
- */
-#include "arm_compute/core/CL/kernels/CLGEMMMatrixVectorMultiplyKernel.h"
-
-#include "arm_compute/core/AccessWindowStatic.h"
-#include "arm_compute/core/CL/CLHelpers.h"
-#include "arm_compute/core/CL/CLKernelLibrary.h"
-#include "arm_compute/core/CL/CLValidate.h"
-#include "arm_compute/core/CL/ICLTensor.h"
-#include "arm_compute/core/CL/OpenCL.h"
-#include "arm_compute/core/Error.h"
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/Types.h"
-#include "support/StringSupport.h"
-
-namespace arm_compute
-{
-namespace
-{
-constexpr unsigned int num_elems_read_per_iteration = 4;
-constexpr unsigned int num_rows_read_per_iteration = 4;
-
-Status validate_arguments(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output)
-{
- ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input0);
- ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input0, 1, DataType::QASYMM8, DataType::F16, DataType::F32);
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input0, input1);
- ARM_COMPUTE_RETURN_ERROR_ON(is_data_type_quantized_asymmetric(input0->data_type()) && (output->data_type() != DataType::S32));
- ARM_COMPUTE_RETURN_ERROR_ON(input0->dimension(2) != input1->dimension(1));
-
- return Status{};
-}
-
-std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input0, ITensorInfo *input1, ITensorInfo *output)
-{
- const unsigned int border_x = ceil_to_multiple(input0->dimension(0), num_elems_read_per_iteration) - input0->dimension(0);
- const unsigned int border_y = ceil_to_multiple(input0->dimension(1), num_rows_read_per_iteration) - input0->dimension(1);
-
- Window win = calculate_max_window(*input0, Steps(num_elems_read_per_iteration));
-
- AccessWindowRectangle input0_access(input0, 0, 0, num_elems_read_per_iteration, num_rows_read_per_iteration);
- AccessWindowHorizontal input1_access(input1, 0, num_elems_read_per_iteration);
- AccessWindowStatic output_access(output, 0, 0, output->dimension(0) + border_x, output->dimension(1) + border_y);
-
- bool window_changed = update_window_and_padding(win, input0_access, input1_access, output_access);
-
- output->set_valid_region(ValidRegion(Coordinates(), output->tensor_shape()));
-
- Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
- return std::make_pair(err, win);
-}
-} // namespace
-
-CLGEMMMatrixVectorMultiplyKernel::CLGEMMMatrixVectorMultiplyKernel()
- : _input0(nullptr), _input1(nullptr), _output(nullptr), _num_rows_read_per_iteration(0), _border_size(0)
-{
-}
-BorderSize CLGEMMMatrixVectorMultiplyKernel::border_size() const
-{
- return _border_size;
-}
-
-void CLGEMMMatrixVectorMultiplyKernel::configure(const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output)
-{
- configure(CLKernelLibrary::get().get_compile_context(), input0, input1, output);
-}
-
-void CLGEMMMatrixVectorMultiplyKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output)
-{
- ARM_COMPUTE_ERROR_ON_NULLPTR(input0, input1, output);
- ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input0->info(), input1->info(), output->info()));
-
- _input0 = input0;
- _input1 = input1;
- _output = output;
-
- // Check if is a quantized operation
- const bool is_quantized = is_data_type_quantized_asymmetric(_input0->info()->data_type());
-
- // Create kernel
- CLBuildOptions build_opts;
- build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input0->info()->data_type()));
- build_opts.add_option("-DSRC_WIDTH=" + support::cpp11::to_string(input0->info()->dimension(0)));
- build_opts.add_option("-DSRC_HEIGHT=" + support::cpp11::to_string(input0->info()->dimension(1)));
-
- std::string kernel_name = is_quantized ? std::string("gemm_mv_quantized") : std::string("gemm_mv");
- _kernel = create_kernel(compile_context, kernel_name, build_opts.options());
-
- // Add static arguments
- if(is_quantized)
- {
- const UniformQuantizationInfo iq0_info = _input0->info()->quantization_info().uniform();
- const UniformQuantizationInfo iq1_info = _input1->info()->quantization_info().uniform();
-
- unsigned int idx = num_arguments_per_3D_tensor() + num_arguments_per_2D_tensor() + num_arguments_per_1D_tensor();
- _kernel.setArg<int>(idx++, -iq0_info.offset);
- _kernel.setArg<int>(idx++, -iq1_info.offset);
- }
-
- // Configure kernel window
- _num_rows_read_per_iteration = num_rows_read_per_iteration;
-
- const unsigned int border_x = ceil_to_multiple(input0->info()->dimension(0), num_elems_read_per_iteration) - input0->info()->dimension(0);
- const unsigned int border_y = ceil_to_multiple(input0->info()->dimension(1), _num_rows_read_per_iteration) - input0->info()->dimension(1);
-
- _border_size = BorderSize(border_y, border_x);
-
- auto win_config = validate_and_configure_window(input0->info(), input1->info(), output->info());
- ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
- ICLKernel::configure_internal(win_config.second);
-}
-
-Status CLGEMMMatrixVectorMultiplyKernel::validate(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output)
-{
- ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input0, input1, output));
- ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input0->clone().get(), input1->clone().get(), output->clone().get()).first);
-
- return Status{};
-}
-
-void CLGEMMMatrixVectorMultiplyKernel::run(const Window &window, cl::CommandQueue &queue)
-{
- ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
- ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS(ICLKernel::window(), window);
-
- Window slice_in = window.first_slice_window_3D();
- Window slice_in2 = window.first_slice_window_3D();
- Window slice_out = window.first_slice_window_3D();
-
- // Setup input0 slice
- slice_in.set(Window::DimX, Window::Dimension(0, _input0->info()->dimension(0), _input0->info()->dimension(0)));
- slice_in.set(Window::DimY, Window::Dimension(0, _input0->info()->dimension(1) + border_size().bottom, _num_rows_read_per_iteration));
- slice_in.set(Window::DimZ, Window::Dimension(0, _input0->info()->dimension(2), 1));
-
- // Setup input1 and output slice. Their dimensions are increased in the cl kernel.
- slice_in2.set(Window::DimX, Window::Dimension(0, 0, 0));
- slice_in2.set(Window::DimY, Window::Dimension(0, 0, 0));
- slice_in2.set(Window::DimZ, Window::Dimension(0, 0, 0));
-
- slice_out.set(Window::DimX, Window::Dimension(0, 0, 0));
- slice_out.set(Window::DimY, Window::Dimension(0, 0, 0));
- slice_out.set(Window::DimZ, Window::Dimension(0, 0, 0));
-
- unsigned int idx_1 = num_arguments_per_3D_tensor();
-
- add_2D_tensor_argument(idx_1, _input1, slice_in2);
-
- do
- {
- unsigned int idx_0 = 0;
- unsigned int idx_2 = num_arguments_per_3D_tensor() + num_arguments_per_2D_tensor();
- add_3D_tensor_argument(idx_0, _input0, slice_in);
- add_1D_tensor_argument(idx_2, _output, slice_out);
- enqueue(queue, *this, slice_in, lws_hint());
- }
- while(window.slide_window_slice_3D(slice_in) && window.slide_window_slice_3D(slice_out));
-}
-} // namespace arm_compute