diff options
Diffstat (limited to 'src/core/gpu/cl/kernels/ClActivationKernel.cpp')
| -rw-r--r-- | src/core/gpu/cl/kernels/ClActivationKernel.cpp | 256 |
1 files changed, 256 insertions, 0 deletions
diff --git a/src/core/gpu/cl/kernels/ClActivationKernel.cpp b/src/core/gpu/cl/kernels/ClActivationKernel.cpp new file mode 100644 index 0000000000..f48425f7cd --- /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 |