COMPMID-1774: Implement CLGEMMReshapeLHSMatrixKernel to reshape the LHS matrix of GEMM/GEMMLowp
Change-Id: I8c5fd4c8bcdffda1522c83158981ed92baa045f4
Reviewed-on: https://review.mlplatform.org/364
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
diff --git a/src/core/CL/kernels/CLGEMMReshapeLHSMatrixKernel.cpp b/src/core/CL/kernels/CLGEMMReshapeLHSMatrixKernel.cpp
new file mode 100644
index 0000000..e0af580
--- /dev/null
+++ b/src/core/CL/kernels/CLGEMMReshapeLHSMatrixKernel.cpp
@@ -0,0 +1,221 @@
+/*
+ * Copyright (c) 2018 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/CLGEMMReshapeLHSMatrixKernel.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/TensorInfo.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/core/Utils.h"
+#include "arm_compute/core/Window.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+
+using namespace arm_compute;
+using namespace arm_compute::misc::shape_calculator;
+
+namespace
+{
+Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const GEMMLHSMatrixInfo &lhs_info, bool reinterpret_input_as_3d)
+{
+ ARM_COMPUTE_RETURN_ERROR_ON(lhs_info.transpose);
+ ARM_COMPUTE_RETURN_ERROR_ON(lhs_info.m0 == 0);
+ ARM_COMPUTE_RETURN_ERROR_ON(lhs_info.k0 == 0);
+ ARM_COMPUTE_RETURN_ERROR_ON(lhs_info.v0 == 0);
+ ARM_COMPUTE_RETURN_ERROR_ON_MSG((lhs_info.k0 & (lhs_info.k0 - 1)), "Only power of two values are allowed for k0");
+ ARM_COMPUTE_RETURN_ERROR_ON(lhs_info.k0 > 16);
+ ARM_COMPUTE_RETURN_ERROR_ON(lhs_info.m0 < 2 || lhs_info.m0 > 8);
+
+ ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input);
+ ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::U8, DataType::S8,
+ DataType::U16, DataType::S16, DataType::U32, DataType::S32,
+ DataType::F16, DataType::F32);
+
+ if(output->total_size() != 0)
+ {
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(output->tensor_shape(), compute_lhs_reshaped_shape(*input, lhs_info, reinterpret_input_as_3d));
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
+ }
+
+ return Status{};
+}
+
+std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, const GEMMLHSMatrixInfo &lhs_info, bool reinterpret_input_as_3d)
+{
+ const unsigned int num_elems_processed_per_iteration_x = lhs_info.k0;
+ const unsigned int num_elems_processed_per_iteration_y = lhs_info.m0;
+ bool window_changed = false;
+
+ TensorInfo tmp_info(*input);
+
+ if(reinterpret_input_as_3d)
+ {
+ // Since the input tensor has to be reinterpreted as 3D and the execute window is based on a 2D interleave,
+ // the window needs to be constructed on the 2D collapsed version of the tensor
+ TensorShape tmp_shape(input->tensor_shape());
+ tmp_shape.collapse(2U, 1U);
+ tmp_info.set_tensor_shape(tmp_shape);
+ }
+
+ // Output auto inizialitation if not yet initialized
+ auto_init_if_empty(*output, input->clone()->set_tensor_shape(compute_lhs_reshaped_shape(*input, lhs_info, reinterpret_input_as_3d)));
+
+ // Configure window
+ // Note: bottom paddings are calculated manually as the input can be reinterpreted as 3D tensor
+ // The only way to set properly the paddings, it is to set those explicitly through the AccessWindowStatic
+ const int m = reinterpret_input_as_3d ? input->tensor_shape()[1] * input->tensor_shape()[2] : input->tensor_shape()[1];
+ const int bottom_pad = ceil_to_multiple(m, num_elems_processed_per_iteration_y) - m;
+
+ Window win = calculate_max_window(tmp_info, Steps(num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y));
+ Window win_in = calculate_max_window(*input, Steps(num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y));
+
+ AccessWindowStatic input_access(input, 0, 0,
+ ceil_to_multiple(input->dimension(0), num_elems_processed_per_iteration_x),
+ input->dimension(1) + bottom_pad);
+ AccessWindowStatic output_access(output, 0, 0, output->dimension(0), output->dimension(1));
+
+ window_changed = update_window_and_padding(win_in, input_access) || // window used by the execute_window_loop
+ update_window_and_padding(win, output_access); // window used to update the padding requirements of output tensor
+ output_access.set_valid_region(win, ValidRegion(Coordinates(0, 0), output->tensor_shape()));
+
+ // Collapse along the Z direction
+ // This collapse needs to be here in order to tune the Z dimension of LWS
+ Window collapsed = win.collapse(win, Window::DimZ);
+
+ Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
+ return std::make_pair(err, collapsed);
+}
+} // namespace
+
+CLGEMMReshapeLHSMatrixKernel::CLGEMMReshapeLHSMatrixKernel()
+ : _input(nullptr), _output(nullptr), _reinterpret_input_as_3d(false)
+{
+}
+
+void CLGEMMReshapeLHSMatrixKernel::configure(const ICLTensor *input, ICLTensor *output, const GEMMLHSMatrixInfo &lhs_info, bool reinterpret_input_as_3d)
+{
+ ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
+
+ // Perform validate step
+ ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), lhs_info, reinterpret_input_as_3d));
+
+ _input = input;
+ _output = output;
+ _reinterpret_input_as_3d = reinterpret_input_as_3d;
+
+ // Create build options
+ CLBuildOptions build_opts;
+ build_opts.add_option("-DM0=" + support::cpp11::to_string(lhs_info.m0));
+ build_opts.add_option("-DK0=" + support::cpp11::to_string(lhs_info.k0));
+ build_opts.add_option("-DV0=" + support::cpp11::to_string(lhs_info.v0));
+ build_opts.add_option_if(lhs_info.interleave, "-DINTERLEAVE");
+ build_opts.add_option_if(_reinterpret_input_as_3d, "-DREINTERPRET_INPUT_AS_3D");
+ build_opts.add_option_if(_reinterpret_input_as_3d, "-DHEIGHT_GEMM3D=" + support::cpp11::to_string(input->info()->dimension(1)));
+ build_opts.add_option_if(_reinterpret_input_as_3d, "-DDEPTH_GEMM3D=" + support::cpp11::to_string(input->info()->dimension(2)));
+
+ switch(input->info()->element_size())
+ {
+ case 1:
+ build_opts.add_option("-DDATA_TYPE=uchar");
+ break;
+ case 2:
+ build_opts.add_option("-DDATA_TYPE=ushort");
+ break;
+ case 4:
+ build_opts.add_option("-DDATA_TYPE=uint");
+ break;
+ default:
+ ARM_COMPUTE_ERROR("Data type not supported");
+ }
+
+ std::string kernel_name("gemm_reshape_lhs_matrix_");
+ kernel_name += lhs_info.transpose ? "t" : "nt";
+
+ // Create kernel
+ _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel(kernel_name, build_opts.options()));
+
+ // Configure kernel window
+ auto win_config = validate_and_configure_window(input->info(), output->info(), lhs_info, reinterpret_input_as_3d);
+ ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
+ ICLKernel::configure_internal(win_config.second);
+
+ // Set config_id for enabling LWS tuning
+ _config_id = "gemm_reshape_lhs_matrix_";
+ _config_id += (_reinterpret_input_as_3d ? "3d_" : "");
+ _config_id += lower_string(string_from_data_type(input->info()->data_type()));
+ _config_id += "_";
+ _config_id += support::cpp11::to_string(output->info()->dimension(0));
+ _config_id += "_";
+ _config_id += support::cpp11::to_string(output->info()->dimension(1));
+ _config_id += "_";
+ _config_id += support::cpp11::to_string(output->info()->dimension(2));
+ _config_id += "_";
+ _config_id += support::cpp11::to_string(lhs_info.m0);
+ _config_id += "_";
+ _config_id += support::cpp11::to_string(lhs_info.k0);
+ _config_id += "_";
+ _config_id += support::cpp11::to_string(lhs_info.v0);
+ _config_id += "_";
+ _config_id += support::cpp11::to_string(lhs_info.interleave);
+ _config_id += "_";
+ _config_id += support::cpp11::to_string(lhs_info.transpose);
+}
+
+Status CLGEMMReshapeLHSMatrixKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const GEMMLHSMatrixInfo &lhs_info, bool reinterpret_input_as_3d)
+{
+ ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, lhs_info, reinterpret_input_as_3d));
+ ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get(), lhs_info, reinterpret_input_as_3d).first);
+
+ return Status{};
+}
+
+void CLGEMMReshapeLHSMatrixKernel::run(const Window &window, cl::CommandQueue &queue)
+{
+ ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+ ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
+
+ Window slice = window.first_slice_window_3D();
+
+ if(_reinterpret_input_as_3d)
+ {
+ // Pass bottom paddings to the kernel if the input has to be reinterpreted as 3D tensor
+ const unsigned int idx0 = 2 * num_arguments_per_3D_tensor();
+ const unsigned int total_cross_plane_pad = _input->info()->padding().top + _input->info()->padding().bottom;
+ _kernel.setArg<cl_uint>(idx0, static_cast<unsigned int>(total_cross_plane_pad));
+ }
+
+ do
+ {
+ unsigned int idx = 0;
+ add_3D_tensor_argument(idx, _input, slice);
+ add_3D_tensor_argument(idx, _output, slice);
+ enqueue(queue, *this, slice, lws_hint());
+ }
+ while(window.slide_window_slice_3D(slice));
+}
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