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Diffstat (limited to 'src/cpu/kernels/CpuQuantizeKernel.cpp')
-rw-r--r--src/cpu/kernels/CpuQuantizeKernel.cpp167
1 files changed, 85 insertions, 82 deletions
diff --git a/src/cpu/kernels/CpuQuantizeKernel.cpp b/src/cpu/kernels/CpuQuantizeKernel.cpp
index 9700c62318..5dde680837 100644
--- a/src/cpu/kernels/CpuQuantizeKernel.cpp
+++ b/src/cpu/kernels/CpuQuantizeKernel.cpp
@@ -28,13 +28,13 @@
#include "arm_compute/core/Utils.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/core/Window.h"
+
+#include "src/core/CPP/Validate.h"
+#include "src/core/helpers/AutoConfiguration.h"
+#include "src/core/helpers/WindowHelpers.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>
@@ -53,9 +53,11 @@ 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_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::QSYMM8, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::QASYMM16);
+ ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(dst, 1, DataType::QSYMM8, DataType::QASYMM8,
+ DataType::QASYMM8_SIGNED, DataType::QASYMM16);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(src, dst);
return Status{};
@@ -71,19 +73,15 @@ inline float32x4x4_t load_value(const T *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) };
+ 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)) };
+ 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
@@ -113,26 +111,25 @@ 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> },
+ 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_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_QSYMM8", &CpuQuantizeKernel::run_quantize_qsymm8<float, int8_t> },
+ {"op_F32_QSYMM8", &CpuQuantizeKernel::run_quantize_qsymm8<float, 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> },
+ {"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> },
+ {"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*/
};
@@ -142,7 +139,7 @@ void CpuQuantizeKernel::configure(const ITensorInfo *src, ITensorInfo *dst)
auto it = quant_map.find(function_to_call);
- if(it == quant_map.end())
+ if (it == quant_map.end())
{
ARM_COMPUTE_ERROR("Unsupported combination of input and output data types");
}
@@ -167,7 +164,7 @@ void CpuQuantizeKernel::run_quantize_qsymm8(const ITensor *src, ITensor *dst, co
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()))
+ if (is_data_type_quantized_asymmetric(src->info()->data_type()))
{
uqinfo = compute_requantization_scale_offset(uqinfo_in, uqinfo);
}
@@ -177,22 +174,24 @@ void CpuQuantizeKernel::run_quantize_qsymm8(const ITensor *src, ITensor *dst, co
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)
+ execute_window_loop(
+ win_collapsed,
+ [&](const Coordinates &)
{
- output_ptr[x] = quantize_qsymm8(input_ptr[x], dst->info()->quantization_info());
- }
- },
- input, output);
+ 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] = quantize_qsymm8(input_ptr[x], dst->info()->quantization_info());
+ }
+ },
+ input, output);
}
template <typename TIn, typename TOut>
@@ -203,7 +202,7 @@ void CpuQuantizeKernel::run_quantize_qasymm8(const ITensor *src, ITensor *dst, c
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()))
+ if (is_data_type_quantized_asymmetric(src->info()->data_type()))
{
uqinfo = compute_requantization_scale_offset(uqinfo_in, uqinfo);
}
@@ -219,23 +218,25 @@ void CpuQuantizeKernel::run_quantize_qasymm8(const ITensor *src, ITensor *dst, c
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)
+ execute_window_loop(
+ win_collapsed,
+ [&](const Coordinates &)
{
- 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);
+ 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>
@@ -246,7 +247,7 @@ void CpuQuantizeKernel::run_quantize_qasymm16(const ITensor *src, ITensor *dst,
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()))
+ if (is_data_type_quantized_asymmetric(src->info()->data_type()))
{
uqinfo = compute_requantization_scale_offset(uqinfo_in, uqinfo);
}
@@ -262,25 +263,27 @@ void CpuQuantizeKernel::run_quantize_qasymm16(const ITensor *src, ITensor *dst,
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)
+ execute_window_loop(
+ win_collapsed,
+ [&](const Coordinates &)
{
- output_ptr[x] = quantize_qasymm16(input_ptr[x], uqinfo, rounding_policy);
- }
- },
- input, output);
+ 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)