Make CLFloor and CLActivation kernels and functions state-less
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: Icbe4e6a7c6732a59bdda0136af44c4852452dfd1
Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4891
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
diff --git a/src/core/gpu/cl/kernels/ClActivationKernel.cpp b/src/core/gpu/cl/kernels/ClActivationKernel.cpp
new file mode 100644
index 0000000..f48425f
--- /dev/null
+++ b/src/core/gpu/cl/kernels/ClActivationKernel.cpp
@@ -0,0 +1,256 @@
+/*
+ * Copyright (c) 2016-2021 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/ClActivationKernel.h"
+
+#include "arm_compute/core/CL/CLCoreRuntimeContext.h"
+#include "arm_compute/core/CL/CLHelpers.h"
+#include "arm_compute/core/CL/ICLTensor.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/core/Utils.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"
+
+#include <set>
+
+namespace arm_compute
+{
+namespace opencl
+{
+namespace kernels
+{
+namespace
+{
+Status validate_arguments(const ITensorInfo *src, const ITensorInfo *dst, const ActivationLayerInfo &act_info)
+{
+ ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(src);
+ ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::QSYMM16, DataType::F16, DataType::F32);
+
+ static std::set<ActivationLayerInfo::ActivationFunction> quantized_supported_activations =
+ {
+ ActivationLayerInfo::ActivationFunction::RELU,
+ ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU,
+ ActivationLayerInfo::ActivationFunction::BOUNDED_RELU,
+ ActivationLayerInfo::ActivationFunction::LOGISTIC,
+ ActivationLayerInfo::ActivationFunction::TANH,
+ ActivationLayerInfo::ActivationFunction::HARD_SWISH,
+ ActivationLayerInfo::ActivationFunction::LEAKY_RELU,
+ };
+ const DataType data_type = src->data_type();
+ const QuantizationInfo &oq_info = (dst != nullptr) ? dst->quantization_info() : src->quantization_info();
+ const ActivationLayerInfo::ActivationFunction f_act = act_info.activation();
+
+ ARM_COMPUTE_RETURN_ERROR_ON_MSG(is_data_type_quantized(data_type) && (quantized_supported_activations.count(f_act) == 0),
+ "For Quantized data type only hard swish, leaky relu, tanh, logistic, relu and lower/upper bounded relu are supported");
+
+ ARM_COMPUTE_RETURN_ERROR_ON(data_type == DataType::QASYMM8 && (f_act == ActivationLayerInfo::ActivationFunction::TANH) && (oq_info != QuantizationInfo(1.f / 128.f, 128)));
+ ARM_COMPUTE_RETURN_ERROR_ON(data_type == DataType::QASYMM8 && (f_act == ActivationLayerInfo::ActivationFunction::LOGISTIC) && (oq_info != QuantizationInfo(1.f / 256.f, 0)));
+
+ ARM_COMPUTE_RETURN_ERROR_ON(is_data_type_quantized_symmetric(data_type) && (f_act == ActivationLayerInfo::ActivationFunction::TANH) && (oq_info != QuantizationInfo(1.f / 32768.f, 0)));
+ ARM_COMPUTE_RETURN_ERROR_ON(is_data_type_quantized_symmetric(data_type) && (f_act == ActivationLayerInfo::ActivationFunction::LOGISTIC) && (oq_info != QuantizationInfo(1.f / 32768.f, 0)));
+
+ ARM_COMPUTE_RETURN_ERROR_ON(data_type == DataType::QASYMM8_SIGNED && (f_act == ActivationLayerInfo::ActivationFunction::TANH) && (oq_info != QuantizationInfo(1.f / 128.f, 0)));
+ ARM_COMPUTE_RETURN_ERROR_ON(data_type == DataType::QASYMM8_SIGNED && (f_act == ActivationLayerInfo::ActivationFunction::LOGISTIC) && (oq_info != QuantizationInfo(1.f / 256.f, -128)));
+
+ // Checks performed when destination is configured
+ if((dst != nullptr) && (dst->total_size() != 0))
+ {
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(src, dst);
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst);
+ }
+
+ return Status{};
+}
+} // namespace
+
+ClActivationKernel::ClActivationKernel()
+ : _run_in_place(false)
+{
+}
+
+void ClActivationKernel::configure(const ClCompileContext &compile_context, ITensorInfo *src, ITensorInfo *dst, ActivationLayerInfo act_info)
+{
+ ARM_COMPUTE_ERROR_ON_NULLPTR(src);
+
+ auto padding_info = get_padding_info({ src, dst });
+
+ _run_in_place = (dst == nullptr) || (dst == src);
+
+ if(dst != nullptr)
+ {
+ // Destination auto inizialitation if not yet initialized
+ auto_init_if_empty(*dst, *src->clone());
+ }
+
+ ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, (dst != nullptr) ? dst : nullptr, act_info));
+
+ const unsigned int num_elems_processed_per_iteration = adjust_vec_size(16 / src->element_size(), src->dimension(0));
+
+ const DataType dt = src->data_type();
+ float a_const = act_info.a();
+ float b_const = act_info.b();
+
+ const ActivationLayerInfo::ActivationFunction f_act = act_info.activation();
+ const bool is_quantized = is_data_type_quantized(dt);
+ const bool perform_activation_in_float =
+ (f_act == ActivationLayerInfo::ActivationFunction::LOGISTIC)
+ || (f_act == ActivationLayerInfo::ActivationFunction::TANH)
+ || (f_act == ActivationLayerInfo::ActivationFunction::HARD_SWISH)
+ || (f_act == ActivationLayerInfo::ActivationFunction::LEAKY_RELU);
+
+ // Set build options
+ CLBuildOptions build_opts;
+ build_opts.add_option_if(perform_activation_in_float, "-DFLOAT_DOMAIN");
+ build_opts.add_option_if(_run_in_place, "-DIN_PLACE");
+ build_opts.add_option("-DACT=" + lower_string(string_from_activation_func(f_act)));
+ build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(dt));
+ build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(num_elems_processed_per_iteration));
+ build_opts.add_option("-DVEC_SIZE_LEFTOVER=" + support::cpp11::to_string(src->dimension(0) % num_elems_processed_per_iteration));
+
+ std::string kernel_name = std::string("activation_layer");
+
+ // Set quantization info build options
+ if(is_quantized)
+ {
+ const UniformQuantizationInfo iq_info = src->quantization_info().uniform();
+
+ if(!perform_activation_in_float)
+ {
+ int a_const_int = 0;
+ int b_const_int = 0;
+
+ // Create quantized version of constants a, b if needed
+ switch(dt)
+ {
+ case DataType::QASYMM8:
+ {
+ a_const_int = quantize_qasymm8(a_const, iq_info);
+ b_const_int = quantize_qasymm8(b_const, iq_info);
+ }
+ break;
+ case DataType::QASYMM8_SIGNED:
+ {
+ a_const_int = quantize_qasymm8_signed(a_const, iq_info);
+ b_const_int = quantize_qasymm8_signed(b_const, iq_info);
+ }
+ break;
+ case DataType::QSYMM16:
+ {
+ a_const_int = quantize_qsymm16(a_const, iq_info);
+ b_const_int = quantize_qsymm16(b_const, iq_info);
+ }
+ break;
+ default:
+ break;
+ }
+ build_opts.add_option(("-DA_VAL=" + support::cpp11::to_string(a_const_int)));
+ build_opts.add_option(("-DB_VAL=" + support::cpp11::to_string(b_const_int)));
+ }
+ else
+ {
+ build_opts.add_option(("-DA_VAL=" + float_to_string_with_full_precision(a_const)));
+ build_opts.add_option(("-DB_VAL=" + float_to_string_with_full_precision(b_const)));
+ }
+
+ // Quantized value of 0 corresponds to the offset o1
+ build_opts.add_option(("-DCONST_0=" + (is_data_type_quantized_asymmetric(dt) ? support::cpp11::to_string(iq_info.offset) : "0")));
+ build_opts.add_option(("-DS1_VAL=" + float_to_string_with_full_precision(iq_info.scale)));
+ build_opts.add_option_if(is_data_type_quantized_asymmetric(dt), "-DO1_VAL=" + support::cpp11::to_string(iq_info.offset));
+
+ // Set correct kernel name
+ kernel_name += perform_activation_in_float ? std::string("_quant_f32") : std::string("_quant");
+
+ // Set scale and offset of the source and destination if they have different quantization info
+ if(dst != nullptr)
+ {
+ const UniformQuantizationInfo oq_info = dst->quantization_info().uniform();
+
+ if(iq_info != oq_info)
+ {
+ build_opts.add_option(("-DS2_VAL=" + float_to_string_with_full_precision(oq_info.scale)));
+ build_opts.add_option_if(is_data_type_quantized_asymmetric(dt), "-DO2_VAL=" + support::cpp11::to_string(oq_info.offset));
+ }
+ }
+ }
+ else
+ {
+ // Set A, B constants in build options for float types
+ build_opts.add_option(("-DA_VAL=" + float_to_string_with_full_precision(a_const)));
+ build_opts.add_option(("-DB_VAL=" + float_to_string_with_full_precision(b_const)));
+ }
+
+ // Create kernel
+ _kernel = create_kernel(compile_context, kernel_name, build_opts.options());
+
+ // Configure kernel window
+ Window win = calculate_max_window(*src, Steps(num_elems_processed_per_iteration));
+ ICLKernel::configure_internal(win);
+
+ // Set config_id for enabling LWS tuning
+ _config_id = "activation_layer_";
+ _config_id += lower_string(string_from_data_type(dt));
+ _config_id += "_";
+ _config_id += support::cpp11::to_string(src->dimension(0));
+ _config_id += "_";
+ _config_id += support::cpp11::to_string(src->dimension(1));
+
+ ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info));
+}
+
+Status ClActivationKernel::validate(const ITensorInfo *src, const ITensorInfo *dst, const ActivationLayerInfo &act_info)
+{
+ ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, dst, act_info));
+ return Status{};
+}
+
+void ClActivationKernel::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);
+
+ const 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));
+ ARM_COMPUTE_ERROR_ON(_run_in_place && src != dst);
+
+ Window collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ);
+ Window slice = collapsed.first_slice_window_3D();
+
+ do
+ {
+ unsigned int idx = 0;
+ add_3D_tensor_argument(idx, src, slice);
+ if(!_run_in_place)
+ {
+ add_3D_tensor_argument(idx, dst, slice);
+ }
+ enqueue(queue, *this, slice, lws_hint());
+ }
+ while(collapsed.slide_window_slice_3D(slice));
+}
+} // namespace kernels
+} // namespace opencl
+} // namespace arm_compute