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Diffstat (limited to 'src/core/cpu/kernels/CpuQuantizeKernel.cpp')
| -rw-r--r-- | src/core/cpu/kernels/CpuQuantizeKernel.cpp | 266 |
1 files changed, 0 insertions, 266 deletions
diff --git a/src/core/cpu/kernels/CpuQuantizeKernel.cpp b/src/core/cpu/kernels/CpuQuantizeKernel.cpp deleted file mode 100644 index 8ca81e8b11..0000000000 --- a/src/core/cpu/kernels/CpuQuantizeKernel.cpp +++ /dev/null @@ -1,266 +0,0 @@ -/* - * 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/cpu/kernels/CpuQuantizeKernel.h" - -#include "arm_compute/core/Error.h" -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/Utils.h" -#include "arm_compute/core/Validate.h" -#include "arm_compute/core/Window.h" -#include "src/core/NEON/NEAsymm.h" -#include "src/core/NEON/NEMath.h" -#include "src/core/NEON/wrapper/wrapper.h" -#include "src/core/helpers/AutoConfiguration.h" -#include "src/core/helpers/WindowHelpers.h" - -#include "src/core/CPP/Validate.h" - -#include <arm_neon.h> -#include <map> - -namespace arm_compute -{ -namespace cpu -{ -namespace kernels -{ -namespace -{ -constexpr auto window_step = 16; - -Status validate_arguments(const ITensorInfo *src, const ITensorInfo *dst) -{ - ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst); - ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(src); - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::F16, DataType::F32); - ARM_COMPUTE_RETURN_ERROR_ON(dst->tensor_shape().total_size() == 0); - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(dst, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::QASYMM16); - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(src, dst); - - return Status{}; -} - -template <typename T> -inline float32x4x4_t load_value(const T *input_ptr) -{ - using Tx16_t = typename wrapper::traits::neon_vector<T, 16>::type; - return arm_compute::convert_to_float32x4x4<Tx16_t>(wrapper::vloadq(input_ptr)); -} - -template <> -inline float32x4x4_t load_value(const float *input_ptr) -{ - return { wrapper::vloadq(input_ptr), - wrapper::vloadq(input_ptr + 4), - wrapper::vloadq(input_ptr + 8), - wrapper::vloadq(input_ptr + 12) }; -} -#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC -template <> -inline float32x4x4_t load_value(const float16_t *input_ptr) -{ - return { vcvt_f32_f16(wrapper::vload(input_ptr)), - vcvt_f32_f16(wrapper::vload(input_ptr + 4)), - vcvt_f32_f16(wrapper::vload(input_ptr + 8)), - vcvt_f32_f16(wrapper::vload(input_ptr + 12)) }; -} - -#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC - -template <typename element_type> -using vector_type = wrapper::traits::neon_vector_t<element_type, window_step>; - -template <typename quantized_type> -vector_type<quantized_type> vquantize_qasymm8(const float32x4x4_t &qv, const UniformQuantizationInfo &qi); - -template <> -vector_type<uint8_t> vquantize_qasymm8<uint8_t>(const float32x4x4_t &qv, const UniformQuantizationInfo &qi) -{ - return vquantize(qv, qi); -} - -template <> -vector_type<int8_t> vquantize_qasymm8<int8_t>(const float32x4x4_t &qv, const UniformQuantizationInfo &qi) -{ - return vquantize_signed(qv, qi); -} - -} // namespace - -void CpuQuantizeKernel::configure(const ITensorInfo *src, ITensorInfo *dst) -{ - ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); - ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, dst)); - - static const std::map<std::string, QuantizeFunctionExecutorPtr> quant_map = - { - { "op_QASYMM8_QASYMM8", &CpuQuantizeKernel::run_quantize_qasymm8<uint8_t, uint8_t> }, - { "op_QASYMM8_QASYMM8_SIGNED", &CpuQuantizeKernel::run_quantize_qasymm8<uint8_t, int8_t> }, - { "op_QASYMM8_QASYMM16", &CpuQuantizeKernel::run_quantize_qasymm16<uint8_t> }, - - { "op_QASYMM8_SIGNED_QASYMM8", &CpuQuantizeKernel::run_quantize_qasymm8<int8_t, uint8_t> }, - { "op_QASYMM8_SIGNED_QASYMM8_SIGNED", &CpuQuantizeKernel::run_quantize_qasymm8<int8_t, int8_t> }, - { "op_QASYMM8_SIGNED_QASYMM16", &CpuQuantizeKernel::run_quantize_qasymm16<int8_t> }, - - { "op_F32_QASYMM8", &CpuQuantizeKernel::run_quantize_qasymm8<float, uint8_t> }, - { "op_F32_QASYMM8_SIGNED", &CpuQuantizeKernel::run_quantize_qasymm8<float, int8_t> }, - { "op_F32_QASYMM16", &CpuQuantizeKernel::run_quantize_qasymm16<float> }, - -#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC - { "op_F16_QASYMM8", &CpuQuantizeKernel::run_quantize_qasymm8<float16_t, uint8_t> }, - { "op_F16_QASYMM8_SIGNED", &CpuQuantizeKernel::run_quantize_qasymm8<float16_t, int8_t> }, - { "op_F16_QASYMM16", &CpuQuantizeKernel::run_quantize_qasymm16<float16_t> }, -#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC*/ - }; - - std::string function_to_call("op_"); - function_to_call += string_from_data_type(src->data_type()) + "_"; - function_to_call += string_from_data_type(dst->data_type()); - - auto it = quant_map.find(function_to_call); - - if(it == quant_map.end()) - { - ARM_COMPUTE_ERROR("Unsupported combination of input and output data types"); - } - _func = it->second; - - // Configure kernel window - Window win_config = calculate_max_window(*src, Steps()); - ICpuKernel::configure(win_config); -} - -Status CpuQuantizeKernel::validate(const ITensorInfo *src, const ITensorInfo *dst) -{ - ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, dst)); - return Status{}; -} - -template <typename TIn, typename TOut> -void CpuQuantizeKernel::run_quantize_qasymm8(const ITensor *src, ITensor *dst, const Window &window) -{ - const auto window_start_x = static_cast<int>(window.x().start()); - const auto window_end_x = static_cast<int>(window.x().end()); - - const UniformQuantizationInfo uqinfo_in = src->info()->quantization_info().uniform(); - UniformQuantizationInfo uqinfo = dst->info()->quantization_info().uniform(); - if(is_data_type_quantized_asymmetric(src->info()->data_type())) - { - uqinfo = compute_requantization_scale_offset(uqinfo_in, uqinfo); - } -#ifdef __aarch64__ - constexpr RoundingPolicy rounding_policy = RoundingPolicy::TO_NEAREST_EVEN; -#else //__aarch64__ - constexpr RoundingPolicy rounding_policy = RoundingPolicy::TO_ZERO; -#endif //__aarch64__ - - // Collapse window and reset first dimension to handle tail calculations manually - Window win_collapsed = window.collapse_if_possible(window, Window::DimZ); - win_collapsed.set(Window::DimX, Window::Dimension(0, 1, 1)); - - Iterator input(src, win_collapsed); - Iterator output(dst, win_collapsed); - execute_window_loop(win_collapsed, [&](const Coordinates &) - { - auto input_ptr = reinterpret_cast<const TIn *>(input.ptr()); - auto output_ptr = reinterpret_cast<TOut *>(output.ptr()); - - int x = window_start_x; - for(; x <= (window_end_x - window_step); x += window_step) - { - wrapper::vstore(&output_ptr[x], vquantize_qasymm8<TOut>(load_value(&input_ptr[x]), uqinfo)); - } - // Compute left-over elements - for(; x < window_end_x; ++x) - { - output_ptr[x] = Qasymm8QuantizationHelper<TOut>::quantize(input_ptr[x], uqinfo, rounding_policy); - } - }, - input, output); -} - -template <typename T> -void CpuQuantizeKernel::run_quantize_qasymm16(const ITensor *src, ITensor *dst, const Window &window) -{ - const auto window_start_x = static_cast<int>(window.x().start()); - const auto window_end_x = static_cast<int>(window.x().end()); - - const UniformQuantizationInfo uqinfo_in = src->info()->quantization_info().uniform(); - UniformQuantizationInfo uqinfo = dst->info()->quantization_info().uniform(); - if(is_data_type_quantized_asymmetric(src->info()->data_type())) - { - uqinfo = compute_requantization_scale_offset(uqinfo_in, uqinfo); - } -#ifdef __aarch64__ - constexpr RoundingPolicy rounding_policy = RoundingPolicy::TO_NEAREST_EVEN; -#else //__aarch64__ - constexpr RoundingPolicy rounding_policy = RoundingPolicy::TO_ZERO; -#endif //__aarch64__ - - // Collapse window and reset first dimension to handle tail calculations manually - Window win_collapsed = window.collapse_if_possible(window, Window::DimZ); - win_collapsed.set(Window::DimX, Window::Dimension(0, 1, 1)); - - Iterator input(src, win_collapsed); - Iterator output(dst, win_collapsed); - execute_window_loop(win_collapsed, [&](const Coordinates &) - { - auto input_ptr = reinterpret_cast<const T *>(input.ptr()); - auto output_ptr = reinterpret_cast<uint16_t *>(output.ptr()); - - int x = window_start_x; - for(; x <= (window_end_x - window_step); x += window_step) - { - uint16x8x2_t tmp = vquantize_qasymm16(load_value(&input_ptr[x]), uqinfo); - vst1q_u16(&output_ptr[x], tmp.val[0]); - vst1q_u16(&output_ptr[x + 8], tmp.val[1]); - } - // Compute left-over elements - for(; x < window_end_x; ++x) - { - output_ptr[x] = quantize_qasymm16(input_ptr[x], uqinfo, rounding_policy); - } - }, - input, output); -} - -void CpuQuantizeKernel::run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) -{ - ARM_COMPUTE_UNUSED(info); - ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); - ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICpuKernel::window(), window); - ARM_COMPUTE_ERROR_ON(_func == nullptr); - - const auto src = tensors.get_const_tensor(TensorType::ACL_SRC); - auto dst = tensors.get_tensor(TensorType::ACL_DST); - (this->*_func)(src, dst, window); -} - -const char *CpuQuantizeKernel::name() const -{ - return "CpuQuantizeKernel"; -} -} // namespace kernels -} // namespace cpu -} // namespace arm_compute
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