COMPMID-2338: Remove CLGEMMInterleave4x4 and CLGEMMTranspose1xW

Change-Id: I527fc97eac51308de601e5d1d50e75e4d89c5ee5
Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1158
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Giuseppe Rossini <giuseppe.rossini@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 0 insertions, 218 deletions

diff --git a/src/core/CL/kernels/CLGEMMInterleave4x4Kernel.cpp b/src/core/CL/kernels/CLGEMMInterleave4x4Kernel.cpp
deleted file mode 100644
index 0857702eee..0000000000
--- a/src/core/CL/kernels/CLGEMMInterleave4x4Kernel.cpp
+++ /dev/null
@@ -1,218 +0,0 @@
-/*
- * Copyright (c) 2017-2019 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/CLGEMMInterleave4x4Kernel.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, int mult_interleave4x4_height, bool reinterpret_input_as_3d)
-{
-    ARM_COMPUTE_RETURN_ERROR_ON(mult_interleave4x4_height < 1);
-    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_interleaved_shape(*input, mult_interleave4x4_height, reinterpret_input_as_3d));
-        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
-        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output);
-    }
-
-    return Status{};
-}
-
-std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, int mult_interleave4x4_height, bool reinterpret_input_as_3d)
-{
-    constexpr unsigned int num_elems_processed_per_iteration_x = 4;
-    constexpr unsigned int num_elems_processed_per_iteration_y = 4;
-    const unsigned int     num_elems_written_per_iteration     = num_elems_processed_per_iteration_x * num_elems_processed_per_iteration_y * mult_interleave4x4_height;
-    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_interleaved_shape(*input, mult_interleave4x4_height)));
-
-    // Configure window
-    const float scale_x = 4.0f * static_cast<float>(mult_interleave4x4_height);
-    const float scale_y = 1.0f / (scale_x);
-
-    // 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 = (num_elems_processed_per_iteration_y - (m % num_elems_processed_per_iteration_y)) % num_elems_processed_per_iteration_y;
-
-    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);
-    AccessWindowRectangle output_access(output, 0, 0, num_elems_written_per_iteration, 1, scale_x, scale_y);
-
-    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
-
-CLGEMMInterleave4x4Kernel::CLGEMMInterleave4x4Kernel()
-    : _input(nullptr), _output(nullptr), _reinterpret_input_as_3d(false)
-{
-}
-
-void CLGEMMInterleave4x4Kernel::configure(const ICLTensor *input, ICLTensor *output, int mult_interleave4x4_height, bool reinterpret_input_as_3d, bool unroll_block)
-{
-    ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
-
-    // Output auto inizialitation if not yet initialized
-    auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(compute_interleaved_shape(*input->info(), mult_interleave4x4_height, reinterpret_input_as_3d)));
-
-    // Perform validate step
-    ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), mult_interleave4x4_height, 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("-DMULT_INTERLEAVE4X4_HEIGHT=" + support::cpp11::to_string(mult_interleave4x4_height));
-    build_opts.add_option_if(unroll_block, "-DUNROLL_BLOCK");
-    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");
-    }
-
-    // Create kernel
-    _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("gemm_interleave4x4", build_opts.options()));
-
-    // Configure kernel window
-    auto win_config = validate_and_configure_window(input->info(), output->info(), mult_interleave4x4_height, 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 = "interleave4x4_";
-    _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(output->info()->dimension(3));
-}
-
-Status CLGEMMInterleave4x4Kernel::validate(const ITensorInfo *input, const ITensorInfo *output, int mult_interleave4x4_height, bool reinterpret_input_as_3d)
-{
-    ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, mult_interleave4x4_height, reinterpret_input_as_3d));
-    ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get(), mult_interleave4x4_height, reinterpret_input_as_3d).first);
-
-    return Status{};
-}
-
-void CLGEMMInterleave4x4Kernel::run(const Window &window, cl::CommandQueue &queue)
-{
-    ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
-    ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
-
-    /*
-     * This kernel puts the values in a 4x4 block of Matrix A on the same row (Interleaved values)
-     *         |a00 a01 a02 a03|
-     *         |a10 a11 a12 a13|
-     *         |a20 a21 a22 a23| = | a00 a10 a20 a30 || a01 a11 a21 a31 || a02 a12 a22 a32 || a03 a13 a23 a33 |
-     *         |a30 a31 a32 a33|
-     *
-     * After this operation, the output matrix will have the following shape: [ height * 4, width / 4 ]
-     */
-    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));
-}