COMPMID-1707: Create 3 special CLWidthConcatenate kernel to concatenate 2/4 and 8 tensors (Part 1)

Creating special cases for concatening 2 and 4 tensors.

Change-Id: I6a739a494ae45011acb65369e353f9ef96970b90

1 files changed, 151 insertions, 0 deletions

diff --git a/src/core/CL/kernels/CLWidthConcatenate2TensorsKernel.cpp b/src/core/CL/kernels/CLWidthConcatenate2TensorsKernel.cpp
new file mode 100644
index 0000000000..b0d27cbc87
--- /dev/null
+++ b/src/core/CL/kernels/CLWidthConcatenate2TensorsKernel.cpp
@@ -0,0 +1,151 @@
+/*
+ * 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/CLWidthConcatenate2TensorsKernel.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/IAccessWindow.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/core/Utils.h"
+#include "arm_compute/core/Window.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+
+#include "support/ToolchainSupport.h"
+
+namespace arm_compute
+{
+namespace
+{
+constexpr unsigned int num_elems_processed_per_iteration = 8;
+
+std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output)
+{
+    // The window needs to be based on the output
+    Window             win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration));
+    AccessWindowStatic input1_access(input1, 0, 0, ceil_to_multiple(input1->dimension(0), num_elems_processed_per_iteration) + num_elems_processed_per_iteration, input1->dimension(1));
+    AccessWindowStatic input2_access(input2, -num_elems_processed_per_iteration, 0, ceil_to_multiple(input2->dimension(0), num_elems_processed_per_iteration) + num_elems_processed_per_iteration,
+                                     input2->dimension(1));
+    AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration);
+    bool                   window_changed = update_window_and_padding(win, input1_access, input2_access, output_access);
+
+    Window win_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, win_collapsed);
+}
+Status validate_arguments(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output)
+{
+    ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input1, input2, output);
+    ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input1);
+    ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input1, 1, DataType::U8, DataType::S8, DataType::QASYMM8, DataType::U16, DataType::S16, DataType::F16, DataType::U32,
+                                                         DataType::F32);
+    ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input1, input2, output);
+    ARM_COMPUTE_RETURN_ERROR_ON(input1->dimension(0) + input2->dimension(0) > output->dimension(0));
+
+    for(size_t i = 1; i < Coordinates::num_max_dimensions; ++i)
+    {
+        ARM_COMPUTE_RETURN_ERROR_ON(input1->dimension(i) != output->dimension(i));
+        ARM_COMPUTE_RETURN_ERROR_ON(input2->dimension(i) != output->dimension(i));
+    }
+    ARM_COMPUTE_RETURN_ERROR_ON(input1->num_dimensions() > 4);
+
+    return Status{};
+}
+} // namespace
+
+CLWidthConcatenate2TensorsKernel::CLWidthConcatenate2TensorsKernel()
+    : _input1(nullptr), _input2(nullptr), _output(nullptr)
+{
+}
+
+Status CLWidthConcatenate2TensorsKernel::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output)
+{
+    ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input1, input2, output));
+    ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input1->clone().get(), input2->clone().get(), output->clone().get()).first);
+    return Status{};
+}
+
+void CLWidthConcatenate2TensorsKernel::configure(const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output)
+{
+    ARM_COMPUTE_ERROR_ON_NULLPTR(input1, input2, output);
+    ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input1->info(), input2->info(), output->info()));
+
+    _input1 = input1;
+    _input2 = input2;
+    _output = output;
+
+    // Add build options
+    CLBuildOptions build_opts;
+    build_opts.add_option("-DDATA_TYPE=" + get_underlying_cl_type_from_data_type(input1->info()->data_type()));
+    build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(num_elems_processed_per_iteration));
+    build_opts.add_option("-DDEPTH=" + support::cpp11::to_string(input1->info()->dimension(2)));
+    build_opts.add_option("-DINPUT1_WIDTH=" + support::cpp11::to_string(input1->info()->dimension(0)));
+    build_opts.add_option("-DELEMENT_SIZE=" + support::cpp11::to_string(input1->info()->element_size()));
+
+    // Create kernel
+    _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("concatenate_width_x2", build_opts.options()));
+
+    // Configure kernel window
+    auto win_config = validate_and_configure_window(input1->info(), input2->info(), output->info());
+    ARM_COMPUTE_ERROR_THROW_ON(std::get<0>(win_config));
+
+    ICLKernel::configure_internal(std::get<1>(win_config));
+
+    // Set config_id for enabling LWS tuning
+    _config_id = "concatenate_width_x2_";
+    _config_id += lower_string(string_from_data_type(input1->info()->data_type()));
+    _config_id += "_";
+    _config_id += support::cpp11::to_string(input1->info()->dimension(0));
+    _config_id += "_";
+    _config_id += support::cpp11::to_string(input1->info()->dimension(1));
+    _config_id += "_";
+    _config_id += support::cpp11::to_string(input2->info()->dimension(0));
+    _config_id += "_";
+    _config_id += support::cpp11::to_string(input2->info()->dimension(1));
+}
+
+void CLWidthConcatenate2TensorsKernel::run(const Window &window, cl::CommandQueue &queue)
+{
+    ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+    ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
+
+    Window slice = window.first_slice_window_4D();
+
+    do
+    {
+        unsigned int idx = 0;
+        add_4D_tensor_argument(idx, _input1, slice);
+        add_4D_tensor_argument(idx, _input2, slice);
+        add_4D_tensor_argument(idx, _output, slice);
+        enqueue(queue, *this, window, lws_hint());
+    }
+    while(window.slide_window_slice_4D(slice));
+}
+} // namespace arm_compute