Port OpenCL Dequantization to new API
Partially resolves: COMPMID-4193
Change-Id: I4e14149d5b0a7f9c0dd3bfce800eaddca1e4d885
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5238
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
diff --git a/src/core/gpu/cl/kernels/ClDequantizationKernel.cpp b/src/core/gpu/cl/kernels/ClDequantizationKernel.cpp
new file mode 100644
index 0000000..267ac9b
--- /dev/null
+++ b/src/core/gpu/cl/kernels/ClDequantizationKernel.cpp
@@ -0,0 +1,159 @@
+/*
+ * Copyright (c) 2017-2021 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 "src/core/gpu/cl/kernels/ClDequantizationKernel.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/TensorInfo.h"
+#include "arm_compute/core/Utils.h"
+#include "arm_compute/core/Validate.h"
+#include "src/core/AccessWindowStatic.h"
+#include "src/core/CL/CLValidate.h"
+#include "src/core/helpers/AutoConfiguration.h"
+#include "src/core/helpers/WindowHelpers.h"
+#include "support/Cast.h"
+#include "support/StringSupport.h"
+
+namespace arm_compute
+{
+namespace opencl
+{
+namespace kernels
+{
+namespace
+{
+Status validate_arguments(const ITensorInfo *src, const ITensorInfo *dst)
+{
+ ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst);
+ ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::QSYMM8_PER_CHANNEL, DataType::QSYMM8, DataType::QSYMM16);
+
+ if(dst->tensor_shape().total_size() > 0)
+ {
+ ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(dst);
+ ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(dst, 1, DataType::F16, DataType::F32);
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(src, dst);
+ }
+
+ return Status{};
+}
+} // namespace
+
+ClDequantizationKernel::ClDequantizationKernel()
+{
+}
+
+void ClDequantizationKernel::configure(const CLCompileContext &compile_context, ITensorInfo *src, ITensorInfo *dst)
+{
+ ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
+
+ // Output tensor auto initialization if not yet initialized
+ auto_init_if_empty(*dst, src->tensor_shape(), 1, DataType::F32);
+
+ auto padding_info = get_padding_info({ src, dst });
+
+ ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, dst));
+
+ const int vec_size_x = 16 / dst->element_size();
+ const int output_width_x = dst->tensor_shape().x();
+ const bool multi_access_x = (output_width_x / vec_size_x > 0);
+
+ const bool is_quantized_per_channel = is_data_type_quantized_per_channel(src->data_type());
+ std::string kernel_name = "dequantization_layer";
+
+ // Create kernel
+ CLBuildOptions build_opts;
+ if(!is_quantized_per_channel)
+ {
+ const UniformQuantizationInfo qinfo = src->quantization_info().uniform();
+ const int qoffset = is_data_type_quantized_asymmetric(src->data_type()) ? qinfo.offset : 0;
+ build_opts.add_option("-DSCALE=" + float_to_string_with_full_precision(qinfo.scale));
+ build_opts.add_option("-DOFFSET=" + support::cpp11::to_string(qoffset));
+ }
+ else
+ {
+ kernel_name += "_per_channel";
+ kernel_name += src->data_layout() == DataLayout::NCHW ? "_nchw" : "_nhwc";
+ }
+
+ build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(vec_size_x));
+ build_opts.add_option("-DDATA_TYPE_SRC=" + get_cl_type_from_data_type(src->data_type()));
+ build_opts.add_option("-DDATA_TYPE_DST=" + get_cl_type_from_data_type(dst->data_type()));
+ build_opts.add_option_if(multi_access_x, "-DLAST_ACCESSED_X=" + support::cpp11::to_string(std::max<int>(output_width_x - vec_size_x, 0)));
+
+ // Create kernel name
+ _kernel = create_kernel(compile_context, kernel_name, build_opts.options());
+
+ // Configure kernel window
+ Window win = calculate_max_window(*dst);
+ 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));
+ }
+ ICLKernel::configure_internal(win);
+
+ // Set output valid region
+ dst->set_valid_region(ValidRegion(Coordinates(), dst->tensor_shape()));
+
+ ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info));
+}
+
+Status ClDequantizationKernel::validate(const ITensorInfo *src, const ITensorInfo *dst)
+{
+ ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, dst));
+ return Status{};
+}
+
+void ClDequantizationKernel::run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue)
+{
+ ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+ ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
+
+ auto src = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC));
+ auto dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST));
+
+ const bool is_quantized_per_channel = is_data_type_quantized_per_channel(src->info()->data_type());
+
+ // Collapse windo
+ Window new_window = is_quantized_per_channel ? window.collapse_if_possible(ICLKernel::window(), 4) : window.collapse_if_possible(ICLKernel::window(), 3);
+ Window slice = new_window.first_slice_window_3D();
+
+ if(is_quantized_per_channel)
+ {
+ unsigned int idx = num_arguments_per_3D_tensor() * 2; //Skip the input and output parameters
+ _kernel.setArg(idx++, src->quantization().scale->cl_buffer());
+ }
+
+ do
+ {
+ unsigned int idx = 0;
+ add_3D_tensor_argument(idx, src, slice);
+ add_3D_tensor_argument(idx, dst, slice);
+ enqueue(queue, *this, slice, lws_hint());
+ }
+ while(new_window.slide_window_slice_3D(slice));
+}
+} // namespace kernels
+} // namespace opencl
+} // namespace arm_compute