COMPMID-452 CL Generic Depthwise Convolution implementation.

Change-Id: I115e48fe6ce5e281f3791aa5d80fdc754cdd2b5e
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/85082
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>

1 files changed, 125 insertions, 0 deletions

diff --git a/src/core/CL/kernels/CLGEMMMatrixVectorMultiplyKernel.cpp b/src/core/CL/kernels/CLGEMMMatrixVectorMultiplyKernel.cpp
new file mode 100644
index 0000000000..9b8a5fdb73
--- /dev/null
+++ b/src/core/CL/kernels/CLGEMMMatrixVectorMultiplyKernel.cpp
@@ -0,0 +1,125 @@
+/*
+ * Copyright (c) 2017 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/CLGEMMMatrixVectorMultiplyKernel.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/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"
+
+using namespace arm_compute;
+
+CLGEMMMatrixVectorMultiplyKernel::CLGEMMMatrixVectorMultiplyKernel()
+    : _input0(nullptr), _input1(nullptr), _output(nullptr), _num_rows_read_per_iteration(0), _border_size(0)
+{
+}
+BorderSize CLGEMMMatrixVectorMultiplyKernel::border_size() const
+{
+    return _border_size;
+}
+
+void CLGEMMMatrixVectorMultiplyKernel::configure(const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output)
+{
+    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input0, 1, DataType::F16, DataType::F32);
+    ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input0, input1, output);
+    ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT(input0, input1, output);
+    ARM_COMPUTE_ERROR_ON(input0->info()->dimension(2) != input1->info()->dimension(1));
+
+    _input0 = input0;
+    _input1 = input1;
+    _output = output;
+
+    // Create kernel
+    std::set<std::string> build_opts;
+
+    build_opts.emplace("-DDATA_TYPE=" + get_cl_type_from_data_type(input0->info()->data_type()));
+    build_opts.emplace("-DSRC_WIDTH=" + support::cpp11::to_string(input0->info()->dimension(0)));
+    build_opts.emplace("-DSRC_HEIGHT=" + support::cpp11::to_string(input0->info()->dimension(1)));
+
+    _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("gemm_mv", build_opts));
+
+    // Configure kernel window
+    const unsigned int num_elems_read_per_iteration = 4;
+
+    _num_rows_read_per_iteration = 4;
+
+    const unsigned int border_x = num_elems_read_per_iteration - input0->info()->dimension(0) % num_elems_read_per_iteration;
+    const unsigned int border_y = _num_rows_read_per_iteration - input0->info()->dimension(1) % _num_rows_read_per_iteration;
+
+    _border_size = BorderSize(border_y, border_x);
+
+    Window win = calculate_max_window(*input0->info(), Steps(num_elems_read_per_iteration));
+
+    AccessWindowRectangle  input0_access(input0->info(), 0, 0, border_size().right, border_size().bottom);
+    AccessWindowHorizontal input1_access(input1->info(), 0, num_elems_read_per_iteration);
+    AccessWindowStatic     output_access(_output->info(), 0, 0, _output->info()->dimension(0) + border_x, _output->info()->dimension(1) + border_y);
+
+    update_window_and_padding(win, input0_access, input1_access, output_access);
+
+    _output->info()->set_valid_region(ValidRegion(Coordinates(), _output->info()->tensor_shape()));
+
+    ICLKernel::configure(win);
+}
+
+void CLGEMMMatrixVectorMultiplyKernel::run(const Window &window, cl::CommandQueue &queue)
+{
+    ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+    ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS(ICLKernel::window(), window);
+
+    Window slice_in  = window.first_slice_window_3D();
+    Window slice_in2 = window.first_slice_window_3D();
+    Window slice_out = window.first_slice_window_3D();
+
+    // Setup input0 slice
+    slice_in.set(Window::DimX, Window::Dimension(0, _input0->info()->dimension(0) + border_size().right, _input0->info()->dimension(0) + border_size().right));
+    slice_in.set(Window::DimY, Window::Dimension(0, _input0->info()->dimension(1) + border_size().bottom, _num_rows_read_per_iteration));
+    slice_in.set(Window::DimZ, Window::Dimension(0, _input0->info()->dimension(2), 1));
+
+    // Setup input1 and output slice. Their dimensions are increased in the cl kernel.
+    slice_in2.set(Window::DimX, Window::Dimension(0, 0, 0));
+    slice_in2.set(Window::DimY, Window::Dimension(0, 0, 0));
+    slice_in2.set(Window::DimZ, Window::Dimension(0, 0, 0));
+
+    slice_out.set(Window::DimX, Window::Dimension(0, 0, 0));
+    slice_out.set(Window::DimY, Window::Dimension(0, 0, 0));
+    slice_out.set(Window::DimZ, Window::Dimension(0, 0, 0));
+
+    unsigned int idx_1 = num_arguments_per_3D_tensor();
+
+    add_2D_tensor_argument(idx_1, _input1, slice_in2);
+
+    do
+    {
+        unsigned int idx_0 = 0;
+        unsigned int idx_2 = num_arguments_per_3D_tensor() + num_arguments_per_2D_tensor();
+        add_3D_tensor_argument(idx_0, _input0, slice_in);
+        add_1D_tensor_argument(idx_2, _output, slice_out);
+        enqueue(queue, *this, slice_in);
+    }
+    while(window.slide_window_slice_3D(slice_in) && window.slide_window_slice_3D(slice_out));
+}