COMPMID-935 Implementing Convolution with Winograd on OpenCL (part 3)
Change-Id: I51f92f30602fb0a02314f344fa67061f448694bf
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/122793
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
diff --git a/src/core/CL/CLKernelLibrary.cpp b/src/core/CL/CLKernelLibrary.cpp
index aba2044..40aceb7 100644
--- a/src/core/CL/CLKernelLibrary.cpp
+++ b/src/core/CL/CLKernelLibrary.cpp
@@ -351,6 +351,8 @@
{ "warp_affine_bilinear", "warp_affine.cl" },
{ "warp_perspective_nearest_neighbour", "warp_perspective.cl" },
{ "warp_perspective_bilinear", "warp_perspective.cl" },
+ { "winograd_input_transform_2x2_3x3_stepz1_nchw", "winograd.cl" },
+ { "winograd_input_transform_2x2_3x3_stepz2_nchw", "winograd.cl" },
{ "YUYV422_to_IYUV_bt709", "color_convert.cl" },
{ "YUYV422_to_NV12_bt709", "color_convert.cl" },
{ "YUYV422_to_RGB888_bt709", "color_convert.cl" },
@@ -676,6 +678,10 @@
"warp_perspective.cl",
#include "./cl_kernels/warp_perspective.clembed"
},
+ {
+ "winograd.cl",
+#include "./cl_kernels/winograd.clembed"
+ },
#endif /* EMBEDDED_KERNELS */
};
diff --git a/src/core/CL/cl_kernels/winograd.cl b/src/core/CL/cl_kernels/winograd.cl
new file mode 100644
index 0000000..fa06601
--- /dev/null
+++ b/src/core/CL/cl_kernels/winograd.cl
@@ -0,0 +1,208 @@
+/*
+ * 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 "helpers.h"
+
+#if defined(NUM_TILES_X)
+
+/** This OpenCL kernel computes the input transform when the kernel size is 3x3 and the output tile is 2x2
+ *
+ * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5).
+ * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0).
+ *
+ * @param[in] src_ptr Pointer to the source image. Supported data types: F32
+ * @param[in] src_stride_x Stride of the source image in X dimension (in bytes)
+ * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes)
+ * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image
+ * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes)
+ * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes)
+ * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr
+ * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes)
+ * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes)
+ * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes)
+ * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes)
+ * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor
+ */
+__kernel void winograd_input_transform_2x2_3x3_stepz1_nchw(
+ TENSOR3D_DECLARATION(src),
+ TENSOR3D_DECLARATION(dst))
+{
+ int x = get_global_id(0);
+ int y = get_global_id(1);
+ int z = get_global_id(2);
+
+ // Compute input address
+ __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * 2 * src_stride_x + y * 2 * src_stride_y + z * src_stride_z;
+
+ src_addr = src_addr - ((int)PAD_LEFT * src_stride_x) - ((int)PAD_TOP * src_stride_y);
+
+ float4 in_row0 = vload4(0, (__global float *)(src_addr + 0 * src_stride_y));
+ float4 in_row1 = vload4(0, (__global float *)(src_addr + 1 * src_stride_y));
+ float4 in_row2 = vload4(0, (__global float *)(src_addr + 2 * src_stride_y));
+ float4 in_row3 = vload4(0, (__global float *)(src_addr + 3 * src_stride_y));
+
+ float4 tmp0 = in_row0 - in_row2;
+ float4 tmp1 = in_row1 + in_row2;
+ float4 tmp2 = in_row2 - in_row1;
+ float4 tmp3 = in_row1 - in_row3;
+
+ float out00 = tmp0.s0 - tmp0.s2;
+ float out01 = tmp0.s1 + tmp0.s2;
+ float out02 = tmp0.s2 - tmp0.s1;
+ float out03 = tmp0.s1 - tmp0.s3;
+
+ float out10 = tmp1.s0 - tmp1.s2;
+ float out11 = tmp1.s1 + tmp1.s2;
+ float out12 = tmp1.s2 - tmp1.s1;
+ float out13 = tmp1.s1 - tmp1.s3;
+
+ float out20 = tmp2.s0 - tmp2.s2;
+ float out21 = tmp2.s1 + tmp2.s2;
+ float out22 = tmp2.s2 - tmp2.s1;
+ float out23 = tmp2.s1 - tmp2.s3;
+
+ float out30 = tmp3.s0 - tmp3.s2;
+ float out31 = tmp3.s1 + tmp3.s2;
+ float out32 = tmp3.s2 - tmp3.s1;
+ float out33 = tmp3.s1 - tmp3.s3;
+
+ __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + z * dst_stride_x + (x + y * (int)NUM_TILES_X) * dst_stride_y;
+
+ *((__global float *)(dst_addr + 0 * dst_stride_z)) = out00;
+ *((__global float *)(dst_addr + 1 * dst_stride_z)) = out01;
+ *((__global float *)(dst_addr + 2 * dst_stride_z)) = out02;
+ *((__global float *)(dst_addr + 3 * dst_stride_z)) = out03;
+ *((__global float *)(dst_addr + 4 * dst_stride_z)) = out10;
+ *((__global float *)(dst_addr + 5 * dst_stride_z)) = out11;
+ *((__global float *)(dst_addr + 6 * dst_stride_z)) = out12;
+ *((__global float *)(dst_addr + 7 * dst_stride_z)) = out13;
+ *((__global float *)(dst_addr + 8 * dst_stride_z)) = out20;
+ *((__global float *)(dst_addr + 9 * dst_stride_z)) = out21;
+ *((__global float *)(dst_addr + 10 * dst_stride_z)) = out22;
+ *((__global float *)(dst_addr + 11 * dst_stride_z)) = out23;
+ *((__global float *)(dst_addr + 12 * dst_stride_z)) = out30;
+ *((__global float *)(dst_addr + 13 * dst_stride_z)) = out31;
+ *((__global float *)(dst_addr + 14 * dst_stride_z)) = out32;
+ *((__global float *)(dst_addr + 15 * dst_stride_z)) = out33;
+}
+
+/** This OpenCL kernel computes the input transform when the kernel size is 3x3, the output tile is 2x2 and the number of channels is multiple of 2
+ *
+ * @note The number of tiles in the x axis must be passed at compile time using -DNUM_TILES_X (i.e.-DNUM_TILES_X=5).
+ * @note The pad left and pad top must be passed at compile time using -DPAD_LEFT and -DPAD_TOP (i.e.-DPAD_LEFT=1 and -DPAD_TOP=0).
+ *
+ * @param[in] src_ptr Pointer to the source image. Supported data types: F32
+ * @param[in] src_stride_x Stride of the source image in X dimension (in bytes)
+ * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes)
+ * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image
+ * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes)
+ * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes)
+ * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: as @p src_ptr
+ * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes)
+ * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes)
+ * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes)
+ * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes)
+ * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor
+ */
+__kernel void winograd_input_transform_2x2_3x3_stepz2_nchw(
+ TENSOR3D_DECLARATION(src),
+ TENSOR3D_DECLARATION(dst))
+{
+ int x = get_global_id(0);
+ int y = get_global_id(1);
+ int z = get_global_id(2) * 2;
+
+ // Compute input address
+ __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * 2 * src_stride_x + y * 2 * src_stride_y + z * src_stride_z;
+
+ src_addr = src_addr - ((int)PAD_LEFT * src_stride_x) - ((int)PAD_TOP * src_stride_y);
+
+ float4 in_row0 = vload4(0, (__global float *)(src_addr + 0 * src_stride_y));
+ float4 in_row1 = vload4(0, (__global float *)(src_addr + 1 * src_stride_y));
+ float4 in_row2 = vload4(0, (__global float *)(src_addr + 2 * src_stride_y));
+ float4 in_row3 = vload4(0, (__global float *)(src_addr + 3 * src_stride_y));
+
+ src_addr += src_stride_z;
+ float4 in_row4 = vload4(0, (__global float *)(src_addr + 0 * src_stride_y));
+ float4 in_row5 = vload4(0, (__global float *)(src_addr + 1 * src_stride_y));
+ float4 in_row6 = vload4(0, (__global float *)(src_addr + 2 * src_stride_y));
+ float4 in_row7 = vload4(0, (__global float *)(src_addr + 3 * src_stride_y));
+
+ float4 tmp0 = in_row0 - in_row2;
+ float4 tmp1 = in_row1 + in_row2;
+ float4 tmp2 = in_row2 - in_row1;
+ float4 tmp3 = in_row1 - in_row3;
+
+ float4 tmp4 = in_row4 - in_row6;
+ float4 tmp5 = in_row5 + in_row6;
+ float4 tmp6 = in_row6 - in_row5;
+ float4 tmp7 = in_row5 - in_row7;
+
+ float2 out00 = (float2)(tmp0.s0 - tmp0.s2, tmp4.s0 - tmp4.s2);
+ float2 out01 = (float2)(tmp0.s1 + tmp0.s2, tmp4.s1 + tmp4.s2);
+ float2 out02 = (float2)(tmp0.s2 - tmp0.s1, tmp4.s2 - tmp4.s1);
+ float2 out03 = (float2)(tmp0.s1 - tmp0.s3, tmp4.s1 - tmp4.s3);
+
+ float2 out10 = (float2)(tmp1.s0 - tmp1.s2, tmp5.s0 - tmp5.s2);
+ float2 out11 = (float2)(tmp1.s1 + tmp1.s2, tmp5.s1 + tmp5.s2);
+ float2 out12 = (float2)(tmp1.s2 - tmp1.s1, tmp5.s2 - tmp5.s1);
+ float2 out13 = (float2)(tmp1.s1 - tmp1.s3, tmp5.s1 - tmp5.s3);
+
+ float2 out20 = (float2)(tmp2.s0 - tmp2.s2, tmp6.s0 - tmp6.s2);
+ float2 out21 = (float2)(tmp2.s1 + tmp2.s2, tmp6.s1 + tmp6.s2);
+ float2 out22 = (float2)(tmp2.s2 - tmp2.s1, tmp6.s2 - tmp6.s1);
+ float2 out23 = (float2)(tmp2.s1 - tmp2.s3, tmp6.s1 - tmp6.s3);
+
+ float2 out30 = (float2)(tmp3.s0 - tmp3.s2, tmp7.s0 - tmp7.s2);
+ float2 out31 = (float2)(tmp3.s1 + tmp3.s2, tmp7.s1 + tmp7.s2);
+ float2 out32 = (float2)(tmp3.s2 - tmp3.s1, tmp7.s2 - tmp7.s1);
+ float2 out33 = (float2)(tmp3.s1 - tmp3.s3, tmp7.s1 - tmp7.s3);
+
+ __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + z * dst_stride_x + (x + y * (int)NUM_TILES_X) * dst_stride_y;
+
+ vstore2(out00, 0, (__global float *)(dst_addr + 0 * dst_stride_z));
+ vstore2(out01, 0, (__global float *)(dst_addr + 1 * dst_stride_z));
+ vstore2(out02, 0, (__global float *)(dst_addr + 2 * dst_stride_z));
+ vstore2(out03, 0, (__global float *)(dst_addr + 3 * dst_stride_z));
+ vstore2(out10, 0, (__global float *)(dst_addr + 4 * dst_stride_z));
+ vstore2(out11, 0, (__global float *)(dst_addr + 5 * dst_stride_z));
+ vstore2(out12, 0, (__global float *)(dst_addr + 6 * dst_stride_z));
+ vstore2(out13, 0, (__global float *)(dst_addr + 7 * dst_stride_z));
+ vstore2(out20, 0, (__global float *)(dst_addr + 8 * dst_stride_z));
+ vstore2(out21, 0, (__global float *)(dst_addr + 9 * dst_stride_z));
+ vstore2(out22, 0, (__global float *)(dst_addr + 10 * dst_stride_z));
+ vstore2(out23, 0, (__global float *)(dst_addr + 11 * dst_stride_z));
+ vstore2(out30, 0, (__global float *)(dst_addr + 12 * dst_stride_z));
+ vstore2(out31, 0, (__global float *)(dst_addr + 13 * dst_stride_z));
+ vstore2(out32, 0, (__global float *)(dst_addr + 14 * dst_stride_z));
+ vstore2(out33, 0, (__global float *)(dst_addr + 15 * dst_stride_z));
+}
+#endif //defined(NUM_TILES_X)
\ No newline at end of file
diff --git a/src/core/CL/kernels/CLWinogradInputTransformKernel.cpp b/src/core/CL/kernels/CLWinogradInputTransformKernel.cpp
new file mode 100644
index 0000000..72adb5f
--- /dev/null
+++ b/src/core/CL/kernels/CLWinogradInputTransformKernel.cpp
@@ -0,0 +1,180 @@
+/*
+ * 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/CLWinogradInputTransformKernel.h"
+
+#include "arm_compute/core/CL/CLHelpers.h"
+#include "arm_compute/core/CL/CLKernelLibrary.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/misc/ShapeCalculator.h"
+#include "support/ToolchainSupport.h"
+
+using namespace arm_compute;
+
+namespace
+{
+Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const PadStrideInfo &conv_info, const Size2D &kernel_dims)
+{
+ ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32);
+ ARM_COMPUTE_RETURN_ERROR_ON_MSG(conv_info.stride().first != 1 || conv_info.stride().second != 1, "Winograd input transform only supports unit strides");
+ ARM_COMPUTE_RETURN_ERROR_ON_MSG(kernel_dims.width != 3 || kernel_dims.height != 3, "Winograd input transform only supports 3x3 kernels");
+ ARM_COMPUTE_UNUSED(kernel_dims);
+
+ const TensorShape output_shape = misc::shape_calculator::compute_winograd_input_transform_shape(*input, conv_info, Size2D(3U, 3U));
+
+ // Validate configured output
+ if(output->total_size() != 0)
+ {
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(output->tensor_shape(), output_shape);
+ 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 PadStrideInfo &conv_info, const Size2D &kernel_dims)
+{
+ ARM_COMPUTE_UNUSED(output);
+ ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
+ ARM_COMPUTE_ERROR_ON(kernel_dims.width != 3 || kernel_dims.height != 3);
+ ARM_COMPUTE_UNUSED(kernel_dims);
+
+ constexpr unsigned int num_elems_read_per_iteration_x = 4u;
+ constexpr unsigned int num_elems_read_per_iteration_y = 4u;
+
+ Window win = calculate_max_window(*input, Steps(1, 1));
+
+ AccessWindowRectangle input_access(input, -conv_info.pad_left(), -conv_info.pad_top(), num_elems_read_per_iteration_x, num_elems_read_per_iteration_y);
+
+ bool window_changed = update_window_and_padding(win, input_access);
+
+ Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
+ return std::make_pair(err, win);
+}
+} // namespace
+
+CLWinogradInputTransformKernel::CLWinogradInputTransformKernel()
+ : _border_size(0), _input(nullptr), _output(nullptr), _num_tiles_x(0), _num_tiles_y(0), _step_z(1)
+{
+}
+
+BorderSize CLWinogradInputTransformKernel::border_size() const
+{
+ return _border_size;
+}
+
+void CLWinogradInputTransformKernel::configure(const ICLTensor *input, ICLTensor *output, const PadStrideInfo &conv_info, const Size2D &kernel_dims)
+{
+ ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
+ ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), conv_info, kernel_dims));
+
+ // Compute number of elements to process in the X and Y direction
+ const int num_elements_x = input->info()->dimension(0) - 2 + conv_info.pad_left() + conv_info.pad_right();
+ const int num_elements_y = input->info()->dimension(1) - 2 + conv_info.pad_top() + conv_info.pad_bottom();
+
+ // Check if we need to extend the right or bottom border
+ const unsigned int extra_border_right = (num_elements_x % 2 == 0) ? 0u : 1u;
+ const unsigned int extra_border_bottom = (num_elements_y % 2 == 0) ? 0u : 1u;
+
+ _input = input;
+ _output = output;
+ _border_size = BorderSize(conv_info.pad_top(), conv_info.pad_right() + extra_border_right, conv_info.pad_bottom() + extra_border_bottom, conv_info.pad_left());
+ _num_tiles_x = std::ceil(num_elements_x / 2.0f);
+ _num_tiles_y = std::ceil(num_elements_y / 2.0f);
+
+ const TensorShape output_shape = misc::shape_calculator::compute_winograd_input_transform_shape(*input->info(), conv_info, Size2D(3U, 3U));
+
+ // Output auto inizialitation if not yet initialized
+ auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(output_shape));
+
+ ARM_COMPUTE_ERROR_ON(_num_tiles_x * _num_tiles_y != static_cast<int>(output->info()->dimension(1)));
+
+ CLBuildOptions build_opts;
+ build_opts.add_option("-DNUM_TILES_X=" + support::cpp11::to_string(_num_tiles_x));
+ build_opts.add_option("-DPAD_LEFT=" + support::cpp11::to_string(conv_info.pad_left()));
+ build_opts.add_option("-DPAD_TOP=" + support::cpp11::to_string(conv_info.pad_top()));
+
+ // Create kernel
+ if((_input->info()->dimension(2) % 2) != 0)
+ {
+ _step_z = 1;
+ _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("winograd_input_transform_2x2_3x3_stepz1_nchw", build_opts.options()));
+ }
+ else
+ {
+ _step_z = 2;
+ _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("winograd_input_transform_2x2_3x3_stepz2_nchw", build_opts.options()));
+ _lws_hint = cl::NDRange(1, 1, 8);
+ }
+
+ // Create window and update padding
+ auto win_config = validate_and_configure_window(input->info(), output->info(), conv_info, kernel_dims);
+ ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
+ ICLKernel::configure(win_config.second);
+
+ _config_id = "winograd_transform_input_2x2_3x3_";
+ _config_id += support::cpp11::to_string(input->info()->dimension(0));
+ _config_id += "_";
+ _config_id += support::cpp11::to_string(input->info()->dimension(1));
+ _config_id += "_";
+ _config_id += support::cpp11::to_string(input->info()->dimension(2));
+ _config_id += "_";
+ _config_id += support::cpp11::to_string(conv_info.pad_left());
+ _config_id += "_";
+ _config_id += support::cpp11::to_string(conv_info.pad_top());
+}
+
+Status CLWinogradInputTransformKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const PadStrideInfo &conv_info, const Size2D &kernel_dims)
+{
+ ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
+ ARM_COMPUTE_RETURN_ERROR_ON(validate_arguments(input, output, conv_info, kernel_dims));
+
+ return Status{};
+}
+
+void CLWinogradInputTransformKernel::run(const Window &window, cl::CommandQueue &queue)
+{
+ ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+ ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window);
+
+ Window slice = window.first_slice_window_3D();
+ slice.set(Window::DimX, Window::Dimension(0, _num_tiles_x, 1));
+ slice.set(Window::DimY, Window::Dimension(0, _num_tiles_y, 1));
+
+ ARM_COMPUTE_ERROR_ON(((slice.z().end() - slice.z().start()) % _step_z) != 0);
+ slice.set(Window::DimZ, Window::Dimension(slice.z().start(), slice.z().end(), _step_z));
+
+ 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));
+}