1 files changed, 172 insertions, 0 deletions
diff --git a/compute/ARMComputeEx/src/core/CL/kernels/CLQuantizationSymmetricKernel.cpp b/compute/ARMComputeEx/src/core/CL/kernels/CLQuantizationSymmetricKernel.cpp
new file mode 100644
index 000000000..2d551f654
--- /dev/null
+++ b/compute/ARMComputeEx/src/core/CL/kernels/CLQuantizationSymmetricKernel.cpp
@@ -0,0 +1,172 @@
+/*
+ * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+/*
+ * Copyright (c) 2017-2019 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/CLQuantizationSymmetricKernel.h"
+
+#include "arm_compute/core/AccessWindowStatic.h"
+#include "arm_compute/core/CL/CLHelpers.h"
+#include "arm_compute/core/CL/CLKernelLibraryEx.h"
+#include "arm_compute/core/CL/CLValidate.h"
+#include "arm_compute/core/CL/ICLTensor.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/core/Utils.h"
+#include "arm_compute/core/Validate.h"
+#include "arm_compute/core/Window.h"
+
+namespace arm_compute
+{
+namespace
+{
+Status validate_arguments(const ITensorInfo *input, const ITensorInfo *scale_factor,
+                          const ITensorInfo *output)
+{
+  ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
+  ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32, DataType::F16);
+  ARM_COMPUTE_RETURN_ERROR_ON(input->num_dimensions() > 2);
+  ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input);
+
+  ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, scale_factor);
+  ARM_COMPUTE_RETURN_ERROR_ON(scale_factor->tensor_shape().total_size() == 0);
+  ARM_COMPUTE_RETURN_ERROR_ON(scale_factor->num_dimensions() > 1);
+  ARM_COMPUTE_RETURN_ERROR_ON(scale_factor->dimension(0) != input->dimension(1));
+
+  // Output must always be initialized
+  ARM_COMPUTE_RETURN_ERROR_ON(output->tensor_shape().total_size() == 0);
+  ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::S8);
+  ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output);
+
+  return Status{};
+}
+
+std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output)
+{
+  // Configure kernel window
+  Window win = calculate_max_window(*input, Steps());
+
+  const int vec_size_x = 16 / input->element_size();
+  const int input_width_x = input->tensor_shape().x();
+  const bool multi_access_x = (input_width_x / vec_size_x > 0);
+
+  if (multi_access_x)
+  {
+    win.set(Window::DimX,
+            Window::Dimension(win.x().start(), ceil_to_multiple(win.x().end(), vec_size_x),
+                              vec_size_x));
+  }
+
+  Coordinates coord;
+  coord.set_num_dimensions(output->num_dimensions());
+  output->set_valid_region(ValidRegion(coord, output->tensor_shape()));
+
+  return std::make_pair(Status{}, win);
+}
+} // namespace
+
+CLQuantizationSymmetricKernel::CLQuantizationSymmetricKernel()
+    : _input(nullptr), _scale_factor(nullptr), _output(nullptr)
+{
+}
+
+void CLQuantizationSymmetricKernel::configure(const ICLTensor *input, const ICLTensor *scale_factor,
+                                              ICLTensor *output)
+{
+  ARM_COMPUTE_ERROR_ON_NULLPTR(input, scale_factor, output);
+  ARM_COMPUTE_ERROR_THROW_ON(
+      validate_arguments(input->info(), scale_factor->info(), output->info()));
+
+  _input = input;
+  _scale_factor = scale_factor;
+  _output = output;
+
+  const int vec_size_x = 16 / input->info()->element_size();
+  const int input_width_x = input->info()->tensor_shape().x();
+  const bool multi_access_x = (input_width_x / vec_size_x > 0);
+
+  // Configure kernel window
+  auto win_config = validate_and_configure_window(input->info(), output->info());
+  ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
+  ICLKernel::configure_internal(win_config.second);
+
+  // Create kernel
+  CLBuildOptions build_opts;
+  build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(vec_size_x));
+  build_opts.add_option("-DDATA_TYPE_IN=" + get_cl_type_from_data_type(input->info()->data_type()));
+  build_opts.add_option("-DDATA_TYPE_OUT=" +
+                        get_cl_type_from_data_type(output->info()->data_type()));
+  build_opts.add_option_if(
+      multi_access_x, "-DLAST_ACCESSED_X=" +
+                          support::cpp11::to_string(std::max<int>(input_width_x - vec_size_x, 0)));
+
+  _kernel = static_cast<cl::Kernel>(
+      CLKernelLibraryEx::get().create_kernel("quantization_symm8", build_opts.options()));
+}
+
+Status CLQuantizationSymmetricKernel::validate(const ITensorInfo *input,
+                                               const ITensorInfo *scale_factor,
+                                               const ITensorInfo *output)
+{
+  ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, scale_factor, output));
+  ARM_COMPUTE_RETURN_ON_ERROR(
+      validate_and_configure_window(input->clone().get(), output->clone().get()).first);
+
+  return Status{};
+}
+
+void CLQuantizationSymmetricKernel::run(const Window &window, cl::CommandQueue &queue)
+{
+  ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+  ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
+
+  // Support only 2D
+  Window window_collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ);
+  Window slice = window_collapsed.first_slice_window_2D();
+
+  do
+  {
+    Window scale_slice = slice.shift_dimensions(1);
+
+    unsigned int idx = 0;
+    add_2D_tensor_argument(idx, _input, slice);
+    add_1D_tensor_argument(idx, _scale_factor, scale_slice);
+    add_2D_tensor_argument(idx, _output, slice);
+    enqueue(queue, *this, slice, lws_hint());
+  } while (window_collapsed.slide_window_slice_2D(slice));
+}
+} // namespace arm_compute