1 files changed, 0 insertions, 142 deletions
diff --git a/src/core/CL/kernels/CLGEMMMatrixAccumulateBiasesKernel.cpp b/src/core/CL/kernels/CLGEMMMatrixAccumulateBiasesKernel.cpp
deleted file mode 100644
index 30dee7fe21..0000000000
--- a/src/core/CL/kernels/CLGEMMMatrixAccumulateBiasesKernel.cpp
+++ /dev/null
@@ -1,142 +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/CLGEMMMatrixAccumulateBiasesKernel.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 "arm_compute/core/Utils.h"
-#include "support/StringSupport.h"
-
-using namespace arm_compute;
-
-namespace
-{
-Status validate_arguments(const ITensorInfo *accum, const ITensorInfo *biases)
-{
-    ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(accum);
-    ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(accum, 1, DataType::F16, DataType::F32);
-    ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(biases, accum);
-    ARM_COMPUTE_RETURN_ERROR_ON(biases->num_dimensions() != 1);
-
-    return Status{};
-}
-
-std::pair<Status, Window> validate_and_configure_window(ITensorInfo *accum, ITensorInfo *biases, GPUTarget gpu_target,
-                                                        unsigned int &num_elems_processed_per_iteration)
-{
-    // Select the vector size to use (8 for Bifrost; 16 for Midgard).
-    bool is_gpu_bifrost = gpu_target_is_in(gpu_target,
-                                           GPUTarget::G71, GPUTarget::G72, GPUTarget::G76,
-                                           GPUTarget::G51, GPUTarget::G51BIG, GPUTarget::G51LIT,
-                                           GPUTarget::G52, GPUTarget::G52LIT);
-    num_elems_processed_per_iteration = is_gpu_bifrost ? 8 : 16;
-
-    // Configure kernel window
-    Window win = calculate_max_window(*accum, Steps(num_elems_processed_per_iteration));
-
-    AccessWindowStatic     biases_access(biases, 0, 0, ceil_to_multiple(biases->dimension(0), num_elems_processed_per_iteration), biases->dimension(1));
-    AccessWindowHorizontal accum_access(accum, 0, num_elems_processed_per_iteration);
-
-    bool window_changed = update_window_and_padding(win, biases_access, accum_access);
-
-    Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
-    return std::make_pair(err, win);
-}
-} // namespace
-
-CLGEMMMatrixAccumulateBiasesKernel::CLGEMMMatrixAccumulateBiasesKernel()
-    : _accum(nullptr), _biases(nullptr)
-{
-}
-
-void CLGEMMMatrixAccumulateBiasesKernel::configure(ICLTensor *accum, const ICLTensor *biases)
-{
-    configure(CLKernelLibrary::get().get_compile_context(), accum, biases);
-}
-
-void CLGEMMMatrixAccumulateBiasesKernel::configure(const CLCompileContext &compile_context, ICLTensor *accum, const ICLTensor *biases)
-{
-    // Perform validate step
-    ARM_COMPUTE_ERROR_ON_NULLPTR(accum, biases);
-    ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(accum->info(), biases->info()));
-
-    _biases = biases;
-    _accum  = accum;
-
-    // Get the target gpu
-    GPUTarget    gpu_target  = get_target();
-    unsigned int vector_size = 0;
-
-    // Configure kernel window
-    auto win_config = validate_and_configure_window(accum->info(), biases->info(), gpu_target, vector_size);
-    ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
-    ICLKernel::configure_internal(win_config.second);
-
-    // Add build options
-    CLBuildOptions build_opts;
-    build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(accum->info()->data_type()));
-    build_opts.add_option("-DVECTOR_SIZE=" + support::cpp11::to_string(vector_size));
-
-    // Create kernel
-    _kernel = create_kernel(compile_context, "gemm_accumulate_biases", build_opts.options());
-}
-
-Status CLGEMMMatrixAccumulateBiasesKernel::validate(const ITensorInfo *accum, const ITensorInfo *biases, GPUTarget gpu_target)
-{
-    unsigned int num_elems_processed_per_iteration = 0;
-    ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(accum, biases));
-    ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(accum->clone().get(), biases->clone().get(), gpu_target, num_elems_processed_per_iteration).first);
-
-    return Status{};
-}
-
-void CLGEMMMatrixAccumulateBiasesKernel::run(const Window &window, cl::CommandQueue &queue)
-{
-    ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
-    ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS(ICLKernel::window(), window);
-
-    Window accum_slice = window.first_slice_window_2D();
-
-    Window biases_slice(accum_slice);
-    biases_slice.set(Window::DimY, Window::Dimension(0, 1, 1));
-
-    // Run kernel
-    do
-    {
-        // Set arguments
-        unsigned int idx = 0;
-        add_2D_tensor_argument(idx, _accum, accum_slice);
-        add_1D_tensor_argument(idx, _biases, biases_slice);
-
-        enqueue(queue, *this, accum_slice, lws_hint());
-    }
-    while(window.slide_window_slice_2D(accum_slice));
-}