1 files changed, 0 insertions, 250 deletions
diff --git a/src/core/GLES_COMPUTE/kernels/GCDepthwiseConvolutionLayer3x3Kernel.cpp b/src/core/GLES_COMPUTE/kernels/GCDepthwiseConvolutionLayer3x3Kernel.cpp
deleted file mode 100644
index c60f4688a6..0000000000
--- a/src/core/GLES_COMPUTE/kernels/GCDepthwiseConvolutionLayer3x3Kernel.cpp
+++ /dev/null
@@ -1,250 +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/GLES_COMPUTE/kernels/GCDepthwiseConvolutionLayer3x3Kernel.h"
-
-#include "arm_compute/core/AccessWindowStatic.h"
-#include "arm_compute/core/Error.h"
-#include "arm_compute/core/GLES_COMPUTE/GCHelpers.h"
-#include "arm_compute/core/GLES_COMPUTE/GCKernelLibrary.h"
-#include "arm_compute/core/GLES_COMPUTE/IGCKernel.h"
-#include "arm_compute/core/GLES_COMPUTE/IGCTensor.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/utils/misc/ShapeCalculator.h"
-#include "support/StringSupport.h"
-
-using namespace arm_compute;
-using namespace arm_compute::misc::shape_calculator;
-
-GCDepthwiseConvolutionLayer3x3Kernel::GCDepthwiseConvolutionLayer3x3Kernel()
-    : _border_size(0), _input(), _output(), _weights(), _biases(), _conv_stride_x(0), _conv_stride_y(0), _conv_pad_left(0), _conv_pad_top(0), _lws(gles::NDRange(1U, 1U, 1U))
-{
-}
-
-BorderSize GCDepthwiseConvolutionLayer3x3Kernel::border_size() const
-{
-    return _border_size;
-}
-
-void GCDepthwiseConvolutionLayer3x3Kernel::configure(const IGCTensor *input, const IGCTensor *weights, const IGCTensor *biases, IGCTensor *output, const PadStrideInfo &conv_info,
-                                                     unsigned int depth_multiplier)
-{
-    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16);
-    ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, weights);
-    ARM_COMPUTE_ERROR_ON(weights->info()->dimension(0) != 3 || weights->info()->dimension(1) != 3);
-
-    if(biases != nullptr)
-    {
-        ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(weights, biases);
-        ARM_COMPUTE_ERROR_ON(biases->info()->dimension(0) != weights->info()->dimension(2));
-        ARM_COMPUTE_ERROR_ON(biases->info()->num_dimensions() > 1);
-    }
-
-    // Get convolved dimensions
-    const TensorShape output_shape = compute_depthwise_convolution_shape(*input->info(), *weights->info(), conv_info, depth_multiplier);
-
-    // Output auto inizialitation if not yet initialized
-    auto_init_if_empty(*output->info(),
-                       output_shape,
-                       1,
-                       input->info()->data_type());
-
-    ARM_COMPUTE_ERROR_ON_MISMATCHING_DIMENSIONS(output->info()->tensor_shape(), output_shape);
-    ARM_COMPUTE_ERROR_ON(output->info()->dimension(2) != weights->info()->dimension(2));
-
-    _input         = input;
-    _output        = output;
-    _weights       = weights;
-    _biases        = biases;
-    _conv_stride_x = conv_info.stride().first;
-    _conv_stride_y = conv_info.stride().second;
-    _conv_pad_left = conv_info.pad_left();
-    _conv_pad_top  = conv_info.pad_top();
-    _border_size   = BorderSize(_conv_pad_top, conv_info.pad_right(), conv_info.pad_bottom(), _conv_pad_left);
-
-    // Set build options
-    ARM_COMPUTE_ERROR_ON(_conv_stride_x < 1 || _conv_stride_x > 3);
-    std::set<std::string> options;
-
-    options.emplace("#define DEPTH_MULTIPLIER " + support::cpp11::to_string(depth_multiplier));
-    options.emplace("#define LOCAL_SIZE_X " + support::cpp11::to_string(_lws[0]));
-    options.emplace("#define LOCAL_SIZE_Y " + support::cpp11::to_string(_lws[1]));
-    options.emplace("#define LOCAL_SIZE_Z " + support::cpp11::to_string(_lws[2]));
-    options.emplace("#define STRIDE_X " + support::cpp11::to_string(_conv_stride_x));
-    options.emplace("#define STRIDE_Y " + support::cpp11::to_string(_conv_stride_y));
-
-    std::string dt_name = (input->info()->data_type() == DataType::F32) ? "DATA_TYPE_FP32" : "DATA_TYPE_FP16";
-    options.emplace(("#define " + dt_name));
-
-    unsigned int num_elems_read_per_iteration_x    = 8;
-    unsigned int num_elems_read_per_iteration_y    = 1;
-    unsigned int num_elems_written_per_iteration_x = 4;
-    unsigned int num_elems_written_per_iteration_y = 1;
-    unsigned int num_elems_written_per_iteration_z = 1;
-
-    if((_conv_stride_x == 1) && (_conv_stride_y == 1))
-    {
-        switch(input->info()->data_type())
-        {
-#define PROCESS_4X_3Y_1Z
-
-            case DataType::F16:
-#if defined(PROCESS_4X_3Y_1Z)
-                options.emplace("#define PROCESS_4X_3Y_1Z");
-                num_elems_read_per_iteration_y    = 5;
-                num_elems_written_per_iteration_y = 3;
-#endif /* PROCESS_4X_3Y_1Z */
-#undef PROCESS_4X_3Y_1Z
-                break;
-
-            default:
-                ARM_COMPUTE_ERROR("Current data type is not supported");
-                break;
-        }
-    }
-    else
-    {
-        switch(input->info()->data_type())
-        {
-            case DataType::F16:
-                options.emplace("#define PROCESS_4X_1Y_1Z");
-                break;
-
-            default:
-                ARM_COMPUTE_ERROR("Current data type is not supported");
-                break;
-        }
-    }
-
-    if(_biases != nullptr)
-    {
-        options.emplace("#define BIAS");
-    }
-
-    // Create kernel
-    std::string kernel_name = "depthwise_convolution_3x3";
-    _kernel                 = static_cast<GCKernel>(GCKernelLibrary::get().create_kernel(kernel_name, options));
-
-    // Calculate output right and bottom border
-    const int output_width          = output->info()->dimension(0);
-    const int output_height         = output->info()->dimension(1);
-    const int output_padding_right  = ceil_to_multiple(output_width, num_elems_written_per_iteration_x * _lws[0]) - output_width;
-    const int output_padding_bottom = ceil_to_multiple(output_height, num_elems_written_per_iteration_y * _lws[1]) - output_height;
-
-    // Calculate input right and bottom border
-    const int input_width  = input->info()->dimension(0);
-    const int input_height = input->info()->dimension(1);
-
-    const int input_total_width  = std::max(int(input->info()->padding().left), int(_conv_pad_left)) + input_width + std::max(int(input->info()->padding().right), int(_conv_pad_left));
-    const int input_total_height = std::max(int(input->info()->padding().top), int(_conv_pad_top)) + input_height + std::max(int(input->info()->padding().bottom), int(_conv_pad_top));
-
-    const int input_padding_right  = ceil_to_multiple(input_total_width, num_elems_read_per_iteration_x * _lws[0]) - input_width - _conv_pad_left;
-    const int input_padding_bottom = ceil_to_multiple(input_total_height, num_elems_read_per_iteration_y * _lws[1]) - input_height - _conv_pad_top;
-
-    BorderSize border = BorderSize(0, output_padding_right, output_padding_bottom, 0);
-
-    Window win = calculate_max_enlarged_window(*output->info(), Steps(num_elems_written_per_iteration_x, num_elems_written_per_iteration_y, num_elems_written_per_iteration_z), border);
-
-    AccessWindowStatic input_access(input->info(), -_conv_pad_left, -_conv_pad_top, input_width + input_padding_right, input_height + input_padding_bottom);
-    AccessWindowStatic weights_access = AccessWindowStatic(nullptr, 0, 0, 0, 0);
-    AccessWindowStatic bias_access    = AccessWindowStatic(nullptr, 0, 0, 0, 1);
-
-    switch(weights->info()->data_type())
-    {
-        case DataType::F16:
-            weights_access = AccessWindowStatic(weights->info(), 0, 0, 4, 3);
-            if(_biases != nullptr)
-            {
-                bias_access = AccessWindowStatic(_biases->info(), 0, 0, _biases->info()->dimension(0) + 1, 1);
-            }
-            break;
-
-        default:
-            ARM_COMPUTE_ERROR("Current data type is not supported");
-            break;
-    }
-
-    AccessWindowStatic output_access(output->info(), 0, 0, output_width + output_padding_right, output_height + output_padding_bottom);
-
-    if(_biases != nullptr)
-    {
-        update_window_and_padding(win, input_access, weights_access, bias_access, output_access);
-    }
-    else
-    {
-        update_window_and_padding(win, input_access, weights_access, output_access);
-    }
-
-    output_access.set_valid_region(win, ValidRegion(Coordinates(), output->info()->tensor_shape()));
-
-    IGCKernel::configure(win);
-}
-
-void GCDepthwiseConvolutionLayer3x3Kernel::run(const Window &window)
-{
-    ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
-    ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window);
-
-    _kernel.use();
-
-    _output->set_needs_shifting(true);
-
-    // Create input window and adjust
-    Window win_in = window;
-    win_in.adjust(Window::DimX, -_conv_pad_left, true);
-    win_in.adjust(Window::DimY, -_conv_pad_top, true);
-    win_in.set_dimension_step(Window::DimX, window.x().step() * _conv_stride_x);
-    win_in.set_dimension_step(Window::DimY, window.y().step() * _conv_stride_y);
-
-    Window slice_in      = win_in.first_slice_window_3D();
-    Window slice_out     = window.first_slice_window_3D();
-    Window slice_weights = window.first_slice_window_3D();
-    slice_weights.set_dimension_step(Window::DimX, 0);
-    slice_weights.set_dimension_step(Window::DimY, 0);
-
-    // Set biases
-    if(_biases != nullptr)
-    {
-        unsigned int idx = 3 * num_arguments_per_3D_tensor();
-        Window       slice_biases;
-        slice_biases.use_tensor_dimensions(_biases->info()->tensor_shape());
-        add_1D_tensor_argument(idx, _biases, 4, slice_biases);
-    }
-
-    slice_out.shift(Window::DimX, -(_output->info()->padding()).left);
-
-    do
-    {
-        unsigned int idx = 0;
-        add_3D_tensor_argument(idx, _input, 1, slice_in);
-        add_3D_tensor_argument(idx, _output, 2, slice_out);
-        add_3D_tensor_argument(idx, _weights, 3, slice_weights);
-
-        _kernel.update_shader_params();
-        enqueue(*this, slice_out, _lws);
-    }
-    while(window.slide_window_slice_3D(slice_out) && win_in.slide_window_slice_3D(slice_in));
-}