From f8f0442e9a6105be0e32f4defec5fbc10248ea6e Mon Sep 17 00:00:00 2001 From: Georgios Pinitas Date: Fri, 8 Jan 2021 17:25:55 +0000 Subject: Make CpuActivation stateless - Rename NEActivationLayer to CpuActivation - Add member function to generate execution window Partially Resolves: COMPMID-3992 Signed-off-by: Georgios Pinitas Change-Id: I4e1ae15cf456b860d3080b2fedc4dbcce7d1bb79 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4791 Tested-by: Arm Jenkins Comments-Addressed: Arm Jenkins Reviewed-by: Michalis Spyrou --- src/core/cpu/kernels/activation/NEON/fp16.cpp | 215 +++++++++++++++++ src/core/cpu/kernels/activation/NEON/fp32.cpp | 210 ++++++++++++++++ src/core/cpu/kernels/activation/NEON/qasymm8.cpp | 263 +++++++++++++++++++++ .../cpu/kernels/activation/NEON/qasymm8_signed.cpp | 262 ++++++++++++++++++++ src/core/cpu/kernels/activation/NEON/qsymm16.cpp | 139 +++++++++++ 5 files changed, 1089 insertions(+) create mode 100644 src/core/cpu/kernels/activation/NEON/fp16.cpp create mode 100644 src/core/cpu/kernels/activation/NEON/fp32.cpp create mode 100644 src/core/cpu/kernels/activation/NEON/qasymm8.cpp create mode 100644 src/core/cpu/kernels/activation/NEON/qasymm8_signed.cpp create mode 100644 src/core/cpu/kernels/activation/NEON/qsymm16.cpp (limited to 'src/core/cpu/kernels/activation/NEON') diff --git a/src/core/cpu/kernels/activation/NEON/fp16.cpp b/src/core/cpu/kernels/activation/NEON/fp16.cpp new file mode 100644 index 0000000000..27ae2830cc --- /dev/null +++ b/src/core/cpu/kernels/activation/NEON/fp16.cpp @@ -0,0 +1,215 @@ +/* + * Copyright (c) 2020-2021 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/NEON/NEMath.h" + +#include "arm_compute/core/Helpers.h" +#include "arm_compute/core/Validate.h" +#include "src/core/NEON/wrapper/wrapper.h" +#include "src/core/common/Validate.h" + +#include +#include +#include + +#if defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) && defined(ENABLE_FP16_KERNELS) + +namespace arm_compute +{ +namespace cpu +{ +namespace +{ +#ifndef __aarch64__ +inline float16x8_t mask_float_vector(const float16x8_t &in, const uint16x8_t &mask) +{ + auto int_in = vreinterpretq_u16_f16(in); + return vreinterpretq_f16_u16(wrapper::vand(int_in, mask)); +} +#endif /* __arch64__ */ +} // namespace + +void fp16_neon_activation(const ITensor *src, ITensor *dst, const ActivationLayerInfo &act_info, const Window &window) +{ + /** NEON vector tag type. */ + using ExactTagType = typename wrapper::traits::neon_bitvector_tag_t; + const ActivationLayerInfo::ActivationFunction act = act_info.activation(); + + constexpr int window_step_x = 8; + const auto window_start_x = static_cast(window.x().start()); + const auto window_end_x = static_cast(window.x().end()); + + 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); + + // In case of non-aarch64, a small delta value is added to the input + // to prevent NAN values caused by zeros in inputs to SQRT. + // In case of aarh64, we call vsqrt directly, so we don't use delta. +#ifndef __aarch64__ + const auto delta = wrapper::vdup_n(static_cast((1e-7), ExactTagType {}); +#endif /* __aarch64 */ + + const auto const_1 = wrapper::vdup_n(static_cast(1.f), ExactTagType {}); + const auto const_0 = wrapper::vdup_n(static_cast(0.f), ExactTagType{}); + const auto const_6 = wrapper::vdup_n(static_cast(6.f), ExactTagType{}); + const auto const_3 = wrapper::vdup_n(static_cast(3.f), ExactTagType{}); + const auto const_inv_6 = wrapper::vdup_n(static_cast(0.166666667f), ExactTagType{}); + + const auto va = wrapper::vdup_n(static_cast(act_info.a()), ExactTagType{}); + const auto vb = wrapper::vdup_n(static_cast(act_info.b()), ExactTagType{}); + const auto a = static_cast(act_info.a()); + const auto b = static_cast(act_info.b()); + execute_window_loop(win_collapsed, [&](const Coordinates &) + { + const auto input_ptr = reinterpret_cast(input.ptr()); + const auto output_ptr = reinterpret_cast(output.ptr()); + + wrapper::traits::neon_bitvector_t tmp; + + // Compute S elements per iteration + int x = window_start_x; + for(; x <= (window_end_x - window_step_x); x += window_step_x) + { + const auto vin = wrapper::vloadq(input_ptr + x); + switch(act) + { + case ActivationLayerInfo::ActivationFunction::ABS: + tmp = wrapper::vabs(vin); + break; + case ActivationLayerInfo::ActivationFunction::LINEAR: + tmp = wrapper::vmla(vb, va, vin); + break; + case ActivationLayerInfo::ActivationFunction::LOGISTIC: + tmp = wrapper::vinv(wrapper::vadd(const_1, wrapper::vexpq(wrapper::vneg(vin)))); + break; + case ActivationLayerInfo::ActivationFunction::RELU: + tmp = wrapper::vmax(const_0, vin); + break; + case ActivationLayerInfo::ActivationFunction::BOUNDED_RELU: + tmp = wrapper::vmin(va, wrapper::vmax(const_0, vin)); + break; + case ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU: + tmp = wrapper::vmin(va, wrapper::vmax(vb, vin)); + break; + case ActivationLayerInfo::ActivationFunction::LEAKY_RELU: + tmp = wrapper::vbsl(wrapper::vcgt(vin, const_0), vin, wrapper::vmul(va, vin)); + break; + case ActivationLayerInfo::ActivationFunction::SOFT_RELU: + tmp = wrapper::vlog(wrapper::vadd(const_1, wrapper::vexpq(vin))); + break; + case ActivationLayerInfo::ActivationFunction::ELU: + tmp = wrapper::vbsl(wrapper::vcge(vin, const_0), vin, wrapper::vmul(va, wrapper::vsub(wrapper::vexpq(vin), const_1))); + break; + case ActivationLayerInfo::ActivationFunction::SQRT: +#ifdef __aarch64__ + tmp = wrapper::vsqrt(vin); +#else /* aarch64 */ + { + const auto bitmask = wrapper::vceq(vin, wrapper::vdup_n(0, ExactTagType{})); + tmp = wrapper::vinv(wrapper::vinvsqrt(wrapper::vadd(vin, mask_float_vector(delta, bitmask)))); + tmp = mask_float_vector(tmp, wrapper::vnot(bitmask)); + } +#endif /* aarch64 */ + break; + case ActivationLayerInfo::ActivationFunction::SQUARE: + tmp = wrapper::vmul(vin, vin); + break; + case ActivationLayerInfo::ActivationFunction::TANH: + tmp = wrapper::vmul(va, wrapper::vtanh(wrapper::vmul(vb, vin))); + break; + case ActivationLayerInfo::ActivationFunction::IDENTITY: + tmp = vin; + break; + case ActivationLayerInfo::ActivationFunction::HARD_SWISH: + tmp = wrapper::vmul(vin, wrapper::vmul(const_inv_6, wrapper::vmin(const_6, wrapper::vmax(const_0, wrapper::vadd(vin, const_3))))); + break; + default: + ARM_COMPUTE_ERROR("Unsupported activation function"); + } + wrapper::vstore(output_ptr + x, tmp); + } + + // Compute left-over elements + for(; x < window_end_x; ++x) + { + const float16_t in = *(reinterpret_cast(input_ptr + x)); + float16_t tmp; + switch(act) + { + case ActivationLayerInfo::ActivationFunction::ABS: + tmp = std::abs(in); + break; + case ActivationLayerInfo::ActivationFunction::LINEAR: + tmp = a * in + b; + break; + case ActivationLayerInfo::ActivationFunction::LOGISTIC: + tmp = static_cast(1) / (static_cast(1) + std::exp(-in)); + break; + case ActivationLayerInfo::ActivationFunction::RELU: + tmp = std::max(static_cast(0), in); + break; + case ActivationLayerInfo::ActivationFunction::BOUNDED_RELU: + tmp = std::min(a, std::max(static_cast(0), in)); + break; + case ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU: + tmp = std::min(a, std::max(b, in)); + break; + case ActivationLayerInfo::ActivationFunction::LEAKY_RELU: + tmp = (in > 0) ? in : a * in; + break; + case ActivationLayerInfo::ActivationFunction::SOFT_RELU: + tmp = std::log(static_cast(1) + std::exp(in)); + break; + case ActivationLayerInfo::ActivationFunction::ELU: + tmp = (in >= 0) ? in : a * (std::exp(in) - 1); + break; + case ActivationLayerInfo::ActivationFunction::SQRT: + tmp = std::sqrt(in); + break; + case ActivationLayerInfo::ActivationFunction::SQUARE: + tmp = in * in; + break; + case ActivationLayerInfo::ActivationFunction::TANH: + tmp = a * std::tanh(b * in); + break; + case ActivationLayerInfo::ActivationFunction::IDENTITY: + tmp = in; + break; + case ActivationLayerInfo::ActivationFunction::HARD_SWISH: + tmp = in * ((std::min(std::max((in + 3), 0.0f), 6.0f)) * 0.166666667f); + break; + default: + ARM_COMPUTE_ERROR("Unsupported activation function"); + } + *(output_ptr + x) = tmp; + } + }, + input, output); +} +} // namespace cpu +} // namespace arm_compute + +#endif /* defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) && defined(ENABLE_FP16_KERNELS) */ \ No newline at end of file diff --git a/src/core/cpu/kernels/activation/NEON/fp32.cpp b/src/core/cpu/kernels/activation/NEON/fp32.cpp new file mode 100644 index 0000000000..0687646be7 --- /dev/null +++ b/src/core/cpu/kernels/activation/NEON/fp32.cpp @@ -0,0 +1,210 @@ +/* + * Copyright (c) 2020-2021 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 "arm_compute/core/Helpers.h" +#include "arm_compute/core/ITensorPack.h" +#include "arm_compute/core/Window.h" +#include "src/core/NEON/NEMath.h" +#include "src/core/NEON/wrapper/wrapper.h" +#include "src/core/common/Validate.h" + +#include +#include +#include + +namespace arm_compute +{ +namespace cpu +{ +namespace +{ +#ifndef __aarch64__ +inline float32x4_t mask_float_vector(const float32x4_t &in, const uint32x4_t &mask) +{ + auto int_in = vreinterpretq_u32_f32(in); + return vreinterpretq_f32_u32(wrapper::vand(int_in, mask)); +} +#endif /* __arch64__ */ +} // namespace + +void fp32_neon_activation(const ITensor *src, ITensor *dst, const ActivationLayerInfo &act_info, const Window &window) +{ + /** NEON vector tag type. */ + using ExactTagType = typename arm_compute::wrapper::traits::neon_bitvector_tag_t; + + constexpr int window_step_x = 4; + const auto window_start_x = static_cast(window.x().start()); + const auto window_end_x = static_cast(window.x().end()); + const ActivationLayerInfo::ActivationFunction act = act_info.activation(); + + 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); + + // In case of non-aarch64, a small delta value is added to the input + // to prevent NAN values caused by zeros in inputs to SQRT. + // In case of aarh64, we call vsqrt directly, so we don't use delta. +#ifndef __aarch64__ + const auto delta = wrapper::vdup_n(static_cast(1e-24), ExactTagType {}); +#endif /* __aarch64 */ + const auto const_1 = wrapper::vdup_n(static_cast(1.f), ExactTagType {}); + const auto const_0 = wrapper::vdup_n(static_cast(0.f), ExactTagType{}); + const auto const_6 = wrapper::vdup_n(static_cast(6.f), ExactTagType{}); + const auto const_3 = wrapper::vdup_n(static_cast(3.f), ExactTagType{}); + const auto const_inv_6 = wrapper::vdup_n(static_cast(0.166666667f), ExactTagType{}); + + const auto va = wrapper::vdup_n(static_cast(act_info.a()), ExactTagType{}); + const auto vb = wrapper::vdup_n(static_cast(act_info.b()), ExactTagType{}); + const auto a = static_cast(act_info.a()); + const auto b = static_cast(act_info.b()); + execute_window_loop(win_collapsed, [&](const Coordinates &) + { + const auto input_ptr = reinterpret_cast(input.ptr()); + const auto output_ptr = reinterpret_cast(output.ptr()); + + wrapper::traits::neon_bitvector_t tmp; + + // Compute S elements per iteration + int x = window_start_x; + for(; x <= (window_end_x - window_step_x); x += window_step_x) + { + const auto vin = wrapper::vloadq(input_ptr + x); + switch(act) + { + case ActivationLayerInfo::ActivationFunction::ABS: + tmp = wrapper::vabs(vin); + break; + case ActivationLayerInfo::ActivationFunction::LINEAR: + tmp = wrapper::vmla(vb, va, vin); + break; + case ActivationLayerInfo::ActivationFunction::LOGISTIC: + tmp = wrapper::vinv(wrapper::vadd(const_1, wrapper::vexpq(wrapper::vneg(vin)))); + break; + case ActivationLayerInfo::ActivationFunction::RELU: + tmp = wrapper::vmax(const_0, vin); + break; + case ActivationLayerInfo::ActivationFunction::BOUNDED_RELU: + tmp = wrapper::vmin(va, wrapper::vmax(const_0, vin)); + break; + case ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU: + tmp = wrapper::vmin(va, wrapper::vmax(vb, vin)); + break; + case ActivationLayerInfo::ActivationFunction::LEAKY_RELU: + tmp = wrapper::vbsl(wrapper::vcgt(vin, const_0), vin, wrapper::vmul(va, vin)); + break; + case ActivationLayerInfo::ActivationFunction::SOFT_RELU: + tmp = wrapper::vlog(wrapper::vadd(const_1, wrapper::vexpq(vin))); + break; + case ActivationLayerInfo::ActivationFunction::ELU: + tmp = wrapper::vbsl(wrapper::vcge(vin, const_0), vin, wrapper::vmul(va, wrapper::vsub(wrapper::vexpq(vin), const_1))); + break; + case ActivationLayerInfo::ActivationFunction::SQRT: +#ifdef __aarch64__ + tmp = wrapper::vsqrt(vin); +#else /* aarch64 */ + { + const auto bitmask = wrapper::vceq(vin, wrapper::vdup_n(0.f, ExactTagType{})); + tmp = wrapper::vinv(wrapper::vinvsqrt(wrapper::vadd(vin, mask_float_vector(delta, bitmask)))); + tmp = mask_float_vector(tmp, wrapper::vnot(bitmask)); + } +#endif /* aarch64 */ + break; + case ActivationLayerInfo::ActivationFunction::SQUARE: + tmp = wrapper::vmul(vin, vin); + break; + case ActivationLayerInfo::ActivationFunction::TANH: + tmp = wrapper::vmul(va, wrapper::vtanh(wrapper::vmul(vb, vin))); + break; + case ActivationLayerInfo::ActivationFunction::IDENTITY: + tmp = vin; + break; + case ActivationLayerInfo::ActivationFunction::HARD_SWISH: + tmp = wrapper::vmul(vin, wrapper::vmul(const_inv_6, wrapper::vmin(const_6, wrapper::vmax(const_0, wrapper::vadd(vin, const_3))))); + break; + default: + ARM_COMPUTE_ERROR("Unsupported activation function"); + } + wrapper::vstore(output_ptr + x, tmp); + } + + // Compute left-over elements + for(; x < window_end_x; ++x) + { + const float in = *(reinterpret_cast(input_ptr + x)); + float tmp; + switch(act) + { + case ActivationLayerInfo::ActivationFunction::ABS: + tmp = std::abs(in); + break; + case ActivationLayerInfo::ActivationFunction::LINEAR: + tmp = a * in + b; + break; + case ActivationLayerInfo::ActivationFunction::LOGISTIC: + tmp = static_cast(1) / (static_cast(1) + std::exp(-in)); + break; + case ActivationLayerInfo::ActivationFunction::RELU: + tmp = std::max(static_cast(0), in); + break; + case ActivationLayerInfo::ActivationFunction::BOUNDED_RELU: + tmp = std::min(a, std::max(static_cast(0), in)); + break; + case ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU: + tmp = std::min(a, std::max(b, in)); + break; + case ActivationLayerInfo::ActivationFunction::LEAKY_RELU: + tmp = (in > 0) ? in : a * in; + break; + case ActivationLayerInfo::ActivationFunction::SOFT_RELU: + tmp = std::log(static_cast(1) + std::exp(in)); + break; + case ActivationLayerInfo::ActivationFunction::ELU: + tmp = (in >= 0) ? in : a * (std::exp(in) - 1); + break; + case ActivationLayerInfo::ActivationFunction::SQRT: + tmp = std::sqrt(in); + break; + case ActivationLayerInfo::ActivationFunction::SQUARE: + tmp = in * in; + break; + case ActivationLayerInfo::ActivationFunction::TANH: + tmp = a * std::tanh(b * in); + break; + case ActivationLayerInfo::ActivationFunction::IDENTITY: + tmp = in; + break; + case ActivationLayerInfo::ActivationFunction::HARD_SWISH: + tmp = in * ((std::min(std::max((in + 3), 0.0f), 6.0f)) * 0.166666667f); + break; + default: + ARM_COMPUTE_ERROR("Unsupported activation function"); + } + *(output_ptr + x) = tmp; + } + }, + input, output); +} +} // namespace cpu +} // namespace arm_compute diff --git a/src/core/cpu/kernels/activation/NEON/qasymm8.cpp b/src/core/cpu/kernels/activation/NEON/qasymm8.cpp new file mode 100644 index 0000000000..7506a8294f --- /dev/null +++ b/src/core/cpu/kernels/activation/NEON/qasymm8.cpp @@ -0,0 +1,263 @@ +/* + * Copyright (c) 2020-2021 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 "arm_compute/core/Helpers.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/common/Validate.h" + +#include +#include +#include + +namespace arm_compute +{ +namespace cpu +{ +void qasymm8_neon_activation(const ITensor *src, ITensor *dst, const ActivationLayerInfo &act_info, const Window &window) +{ + constexpr int window_step_x = 16; + const auto window_start_x = static_cast(window.x().start()); + const auto window_end_x = static_cast(window.x().end()); + const ActivationLayerInfo::ActivationFunction act = act_info.activation(); + + 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); + + const UniformQuantizationInfo qi_in = src->info()->quantization_info().uniform(); + const UniformQuantizationInfo qi_out = dst->info()->quantization_info().uniform(); + const qasymm8x16_t va = vdupq_n_u8(quantize_qasymm8(act_info.a(), qi_in)); + const qasymm8x16_t vb = vdupq_n_u8(quantize_qasymm8(act_info.b(), qi_in)); + const qasymm8_t a = quantize_qasymm8(act_info.a(), qi_in); + const qasymm8_t b = quantize_qasymm8(act_info.b(), qi_in); + const qasymm8_t const_0 = quantize_qasymm8(0.f, qi_in); + const qasymm8x16_t vconst_0 = vdupq_n_u8(const_0); + const auto vconst_1 = vdupq_n_f32(1.f); +#ifndef __aarch64__ + const auto vconst_0_f32 = vdupq_n_f32(0); +#endif // __aarch64__ + const float32x4_t va_f32 = vdupq_n_f32(act_info.a()); + const float32x4_t vb_f32 = vdupq_n_f32(act_info.b()); + const float a_f32 = act_info.a(); + const float b_f32 = act_info.b(); + const auto const_6_f32 = vdupq_n_f32(6.f); + const auto const_0_f32 = vdupq_n_f32(0.f); + const auto const_3_f32 = vdupq_n_f32(3.f); + const auto const_inv_6_f32 = vdupq_n_f32(0.166666667f); + + // Initialise scale/offset for re-quantization + float s = qi_in.scale / qi_out.scale; + float o = -qi_in.offset * s + qi_out.offset; + float32x4_t vs = vdupq_n_f32(s); + float32x4_t vo = vdupq_n_f32(o); + + execute_window_loop(win_collapsed, [&](const Coordinates &) + { + const auto input_ptr = reinterpret_cast(input.ptr()); + const auto output_ptr = reinterpret_cast(output.ptr()); + + wrapper::traits::neon_bitvector_t tmp; + + // Compute S elements per iteration + int x = window_start_x; + for(; x <= (window_end_x - window_step_x); x += window_step_x) + { + const auto vin = wrapper::vloadq(input_ptr + x); + if(act == ActivationLayerInfo::ActivationFunction::RELU) + { + // Perform activation + tmp = vmaxq_u8(vconst_0, vin); + // Re-quantize to new output space + tmp = vmlaq_qasymm8(tmp, vs, vo); + } + else if(act == ActivationLayerInfo::ActivationFunction::BOUNDED_RELU) + { + // Perform activation + tmp = vminq_u8(va, vmaxq_u8(vconst_0, vin)); + // Re-quantize to new output space + tmp = vmlaq_qasymm8(tmp, vs, vo); + } + else if(act == ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU) + { + // Perform activation + tmp = vminq_u8(va, vmaxq_u8(vb, vin)); + // Re-quantize to new output space + tmp = vmlaq_qasymm8(tmp, vs, vo); + } + else if(act == ActivationLayerInfo::ActivationFunction::LOGISTIC) + { + // De-quantize + const auto vin_deq = vdequantize(vin, qi_in); + // Perform activation + const float32x4x4_t tmp_dep = + { + { + wrapper::vdiv(vconst_1, wrapper::vadd(vconst_1, wrapper::vexpq(wrapper::vneg(vin_deq.val[0])))), + wrapper::vdiv(vconst_1, wrapper::vadd(vconst_1, wrapper::vexpq(wrapper::vneg(vin_deq.val[1])))), + wrapper::vdiv(vconst_1, wrapper::vadd(vconst_1, wrapper::vexpq(wrapper::vneg(vin_deq.val[2])))), + wrapper::vdiv(vconst_1, wrapper::vadd(vconst_1, wrapper::vexpq(wrapper::vneg(vin_deq.val[3])))), + } + }; + // Re-quantize to new output space + tmp = vquantize(tmp_dep, qi_out); + } + else if(act == ActivationLayerInfo::ActivationFunction::TANH) + { + // De-quantize + const auto vin_deq = vdequantize(vin, qi_in); + // Perform activation + const float32x4x4_t tmp_dep = + { + { + wrapper::vmul(va_f32, wrapper::vtanh(wrapper::vmul(vin_deq.val[0], vb_f32))), + wrapper::vmul(va_f32, wrapper::vtanh(wrapper::vmul(vin_deq.val[1], vb_f32))), + wrapper::vmul(va_f32, wrapper::vtanh(wrapper::vmul(vin_deq.val[2], vb_f32))), + wrapper::vmul(va_f32, wrapper::vtanh(wrapper::vmul(vin_deq.val[3], vb_f32))), + } + }; + // Re-quantize to new output space + tmp = vquantize(tmp_dep, qi_out); + } + else if(act == ActivationLayerInfo::ActivationFunction::HARD_SWISH) + { + // De-quantize + const auto vin_deq = vdequantize(vin, qi_in); + // Perform activation + const float32x4x4_t tmp_dep = + { + { + wrapper::vmul(vin_deq.val[0], wrapper::vmul(const_inv_6_f32, wrapper::vmin(const_6_f32, wrapper::vmax(const_0_f32, wrapper::vadd(vin_deq.val[0], const_3_f32))))), + wrapper::vmul(vin_deq.val[1], wrapper::vmul(const_inv_6_f32, wrapper::vmin(const_6_f32, wrapper::vmax(const_0_f32, wrapper::vadd(vin_deq.val[1], const_3_f32))))), + wrapper::vmul(vin_deq.val[2], wrapper::vmul(const_inv_6_f32, wrapper::vmin(const_6_f32, wrapper::vmax(const_0_f32, wrapper::vadd(vin_deq.val[2], const_3_f32))))), + wrapper::vmul(vin_deq.val[3], wrapper::vmul(const_inv_6_f32, wrapper::vmin(const_6_f32, wrapper::vmax(const_0_f32, wrapper::vadd(vin_deq.val[3], const_3_f32))))), + } + }; + // Re-quantize to new output space + tmp = vquantize(tmp_dep, qi_out); + } + else if(act == ActivationLayerInfo::ActivationFunction::LEAKY_RELU) + { + const auto vin_deq = vdequantize(vin, qi_in); + +#ifdef __aarch64__ + const uint32x4x4_t pos_mask = + { + { + wrapper::vcgtz(vin_deq.val[0]), + wrapper::vcgtz(vin_deq.val[1]), + wrapper::vcgtz(vin_deq.val[2]), + wrapper::vcgtz(vin_deq.val[3]), + } + }; +#else // __aarch64__ + const uint32x4x4_t pos_mask = + { + { + wrapper::vcgt(vin_deq.val[0], vconst_0_f32), + wrapper::vcgt(vin_deq.val[1], vconst_0_f32), + wrapper::vcgt(vin_deq.val[2], vconst_0_f32), + wrapper::vcgt(vin_deq.val[3], vconst_0_f32), + } + }; +#endif // __aarch64__ + + const float32x4x4_t tmp_dep = + { + { + wrapper::vbsl(pos_mask.val[0], vin_deq.val[0], wrapper::vmul(va_f32, vin_deq.val[0])), + wrapper::vbsl(pos_mask.val[1], vin_deq.val[1], wrapper::vmul(va_f32, vin_deq.val[1])), + wrapper::vbsl(pos_mask.val[2], vin_deq.val[2], wrapper::vmul(va_f32, vin_deq.val[2])), + wrapper::vbsl(pos_mask.val[3], vin_deq.val[3], wrapper::vmul(va_f32, vin_deq.val[3])), + } + }; + + tmp = vquantize(tmp_dep, qi_out); + } + else + { + ARM_COMPUTE_ERROR("Unsupported activation function"); + } + wrapper::vstore(output_ptr + x, tmp); + } + + // Compute left-over elements + for(; x < window_end_x; ++x) + { + qasymm8_t in = *(reinterpret_cast(input_ptr + x)); + qasymm8_t tmp = 0; + if(act == ActivationLayerInfo::ActivationFunction::RELU) + { + tmp = std::max(const_0, in); + tmp = utility::clamp(tmp * s + o); + } + else if(act == ActivationLayerInfo::ActivationFunction::BOUNDED_RELU) + { + tmp = std::min(a, std::max(const_0, in)); + tmp = utility::clamp(tmp * s + o); + } + else if(act == ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU) + { + tmp = std::min(a, std::max(b, in)); + tmp = utility::clamp(tmp * s + o); + } + else if(act == ActivationLayerInfo::ActivationFunction::LOGISTIC) + { + float tmp_f = dequantize_qasymm8(in, qi_in); + tmp_f = 1.f / (1.f + std::exp(-tmp_f)); + tmp = quantize_qasymm8(tmp_f, qi_out); + } + else if(act == ActivationLayerInfo::ActivationFunction::TANH) + { + float tmp_f = dequantize_qasymm8(in, qi_in); + tmp_f = a_f32 * std::tanh(b_f32 * tmp_f); + tmp = quantize_qasymm8(tmp_f, qi_out); + } + else if(act == ActivationLayerInfo::ActivationFunction::HARD_SWISH) + { + float tmp_f = dequantize_qasymm8(in, qi_in); + tmp_f = tmp_f * ((std::min(std::max((tmp_f + 3), 0.0f), 6.0f)) * 0.166666667f); + tmp = quantize_qasymm8(tmp_f, qi_out); + } + else if(act == ActivationLayerInfo::ActivationFunction::LEAKY_RELU) + { + float tmp_f = dequantize_qasymm8(in, qi_in); + tmp_f = tmp_f > 0 ? tmp_f : tmp_f * a_f32; + tmp = quantize_qasymm8(tmp_f, qi_out); + } + else + { + ARM_COMPUTE_ERROR("Unsupported activation function"); + } + *(output_ptr + x) = tmp; + } + }, + input, output); +} +} // namespace cpu +} // namespace arm_compute diff --git a/src/core/cpu/kernels/activation/NEON/qasymm8_signed.cpp b/src/core/cpu/kernels/activation/NEON/qasymm8_signed.cpp new file mode 100644 index 0000000000..8f75abea8e --- /dev/null +++ b/src/core/cpu/kernels/activation/NEON/qasymm8_signed.cpp @@ -0,0 +1,262 @@ +/* + * Copyright (c) 2020-2021 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 "arm_compute/core/Helpers.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/common/Validate.h" + +#include +#include +#include + +namespace arm_compute +{ +namespace cpu +{ +void qasymm8_signed_neon_activation(const ITensor *src, ITensor *dst, const ActivationLayerInfo &act_info, const Window &window) +{ + constexpr int window_step_x = 16; + const auto window_start_x = static_cast(window.x().start()); + const auto window_end_x = static_cast(window.x().end()); + const ActivationLayerInfo::ActivationFunction act = act_info.activation(); + + 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); + + const UniformQuantizationInfo qi_in = src->info()->quantization_info().uniform(); + const UniformQuantizationInfo qi_out = dst->info()->quantization_info().uniform(); + const qasymm8x16_signed_t va = vdupq_n_s8(quantize_qasymm8_signed(act_info.a(), qi_in)); + const qasymm8x16_signed_t vb = vdupq_n_s8(quantize_qasymm8_signed(act_info.b(), qi_in)); + const qasymm8_signed_t a = quantize_qasymm8_signed(act_info.a(), qi_in); + const qasymm8_signed_t b = quantize_qasymm8_signed(act_info.b(), qi_in); + const qasymm8_signed_t const_0 = quantize_qasymm8_signed(0.f, qi_in); + const qasymm8x16_signed_t vconst_0 = vdupq_n_s8(const_0); + const auto vconst_1 = vdupq_n_f32(1.f); +#ifndef __aarch64__ + const auto vconst_0_f32 = vdupq_n_f32(1.f); +#endif // __aarch64__ + const float32x4_t va_f32 = vdupq_n_f32(act_info.a()); + const float32x4_t vb_f32 = vdupq_n_f32(act_info.b()); + const float a_f32 = act_info.a(); + const float b_f32 = act_info.b(); + const auto const_6_f32 = vdupq_n_f32(6.f); + const auto const_0_f32 = vdupq_n_f32(0.f); + const auto const_3_f32 = vdupq_n_f32(3.f); + const auto const_inv_6_f32 = vdupq_n_f32(0.166666667f); + + // Initialise scale/offset for re-quantization + float s = qi_in.scale / qi_out.scale; + float o = -qi_in.offset * s + qi_out.offset; + float32x4_t vs = vdupq_n_f32(s); + float32x4_t vo = vdupq_n_f32(o); + + execute_window_loop(win_collapsed, [&](const Coordinates &) + { + const auto input_ptr = reinterpret_cast(input.ptr()); + const auto output_ptr = reinterpret_cast(output.ptr()); + + wrapper::traits::neon_bitvector_t tmp; + + // Compute S elements per iteration + int x = window_start_x; + for(; x <= (window_end_x - window_step_x); x += window_step_x) + { + const auto vin = wrapper::vloadq(input_ptr + x); + if(act == ActivationLayerInfo::ActivationFunction::RELU) + { + // Perform activation + tmp = vmaxq_s8(vconst_0, vin); + // Re-quantize to new output space + tmp = vmlaq_qasymm8_signed(tmp, vs, vo); + } + else if(act == ActivationLayerInfo::ActivationFunction::BOUNDED_RELU) + { + // Perform activation + tmp = vminq_s8(va, vmaxq_s8(vconst_0, vin)); + // Re-quantize to new output space + tmp = vmlaq_qasymm8_signed(tmp, vs, vo); + } + else if(act == ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU) + { + // Perform activation + tmp = vminq_s8(va, vmaxq_s8(vb, vin)); + // Re-quantize to new output space + tmp = vmlaq_qasymm8_signed(tmp, vs, vo); + } + else if(act == ActivationLayerInfo::ActivationFunction::LOGISTIC) + { + // De-quantize + const auto vin_deq = vdequantize(vin, qi_in); + // Perform activation + const float32x4x4_t tmp_dep = + { + { + wrapper::vdiv(vconst_1, wrapper::vadd(vconst_1, wrapper::vexpq(wrapper::vneg(vin_deq.val[0])))), + wrapper::vdiv(vconst_1, wrapper::vadd(vconst_1, wrapper::vexpq(wrapper::vneg(vin_deq.val[1])))), + wrapper::vdiv(vconst_1, wrapper::vadd(vconst_1, wrapper::vexpq(wrapper::vneg(vin_deq.val[2])))), + wrapper::vdiv(vconst_1, wrapper::vadd(vconst_1, wrapper::vexpq(wrapper::vneg(vin_deq.val[3])))), + } + }; + // Re-quantize to new output space + tmp = vquantize_signed(tmp_dep, qi_out); + } + else if(act == ActivationLayerInfo::ActivationFunction::TANH) + { + // De-quantize + const auto vin_deq = vdequantize(vin, qi_in); + // Perform activation + const float32x4x4_t tmp_dep = + { + { + wrapper::vmul(va_f32, wrapper::vtanh(wrapper::vmul(vin_deq.val[0], vb_f32))), + wrapper::vmul(va_f32, wrapper::vtanh(wrapper::vmul(vin_deq.val[1], vb_f32))), + wrapper::vmul(va_f32, wrapper::vtanh(wrapper::vmul(vin_deq.val[2], vb_f32))), + wrapper::vmul(va_f32, wrapper::vtanh(wrapper::vmul(vin_deq.val[3], vb_f32))), + } + }; + // Re-quantize to new output space + tmp = vquantize_signed(tmp_dep, qi_out); + } + else if(act == ActivationLayerInfo::ActivationFunction::HARD_SWISH) + { + // De-quantize + const auto vin_deq = vdequantize(vin, qi_in); + // Perform activation + const float32x4x4_t tmp_dep = + { + { + wrapper::vmul(vin_deq.val[0], wrapper::vmul(const_inv_6_f32, wrapper::vmin(const_6_f32, wrapper::vmax(const_0_f32, wrapper::vadd(vin_deq.val[0], const_3_f32))))), + wrapper::vmul(vin_deq.val[1], wrapper::vmul(const_inv_6_f32, wrapper::vmin(const_6_f32, wrapper::vmax(const_0_f32, wrapper::vadd(vin_deq.val[1], const_3_f32))))), + wrapper::vmul(vin_deq.val[2], wrapper::vmul(const_inv_6_f32, wrapper::vmin(const_6_f32, wrapper::vmax(const_0_f32, wrapper::vadd(vin_deq.val[2], const_3_f32))))), + wrapper::vmul(vin_deq.val[3], wrapper::vmul(const_inv_6_f32, wrapper::vmin(const_6_f32, wrapper::vmax(const_0_f32, wrapper::vadd(vin_deq.val[3], const_3_f32))))), + } + }; + // Re-quantize to new output space + tmp = vquantize_signed(tmp_dep, qi_out); + } + else if(act == ActivationLayerInfo::ActivationFunction::LEAKY_RELU) + { + const auto vin_deq = vdequantize(vin, qi_in); + +#ifdef __aarch64__ + const uint32x4x4_t pos_mask = + { + { + wrapper::vcgtz(vin_deq.val[0]), + wrapper::vcgtz(vin_deq.val[1]), + wrapper::vcgtz(vin_deq.val[2]), + wrapper::vcgtz(vin_deq.val[3]), + } + }; +#else // __aarch64__ + const uint32x4x4_t pos_mask = + { + { + wrapper::vcgt(vin_deq.val[0], vconst_0_f32), + wrapper::vcgt(vin_deq.val[1], vconst_0_f32), + wrapper::vcgt(vin_deq.val[2], vconst_0_f32), + wrapper::vcgt(vin_deq.val[3], vconst_0_f32), + } + }; +#endif // __aarch64__ + + const float32x4x4_t tmp_dep = + { + { + wrapper::vbsl(pos_mask.val[0], vin_deq.val[0], wrapper::vmul(va_f32, vin_deq.val[0])), + wrapper::vbsl(pos_mask.val[1], vin_deq.val[1], wrapper::vmul(va_f32, vin_deq.val[1])), + wrapper::vbsl(pos_mask.val[2], vin_deq.val[2], wrapper::vmul(va_f32, vin_deq.val[2])), + wrapper::vbsl(pos_mask.val[3], vin_deq.val[3], wrapper::vmul(va_f32, vin_deq.val[3])), + } + }; + + tmp = vquantize_signed(tmp_dep, qi_out); + } + else + { + ARM_COMPUTE_ERROR("Unsupported activation function"); + } + wrapper::vstore(output_ptr + x, tmp); + } + + // Compute left-over elements + for(; x < window_end_x; ++x) + { + qasymm8_signed_t in = *(reinterpret_cast(input_ptr + x)); + qasymm8_signed_t tmp = 0; + if(act == ActivationLayerInfo::ActivationFunction::RELU) + { + tmp = std::max(const_0, in); + tmp = utility::clamp(tmp * s + o); + } + else if(act == ActivationLayerInfo::ActivationFunction::BOUNDED_RELU) + { + tmp = std::min(a, std::max(const_0, in)); + tmp = utility::clamp(tmp * s + o); + } + else if(act == ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU) + { + tmp = std::min(a, std::max(b, in)); + tmp = utility::clamp(tmp * s + o); + } + else if(act == ActivationLayerInfo::ActivationFunction::LOGISTIC) + { + float tmp_f = dequantize_qasymm8_signed(in, qi_in); + tmp_f = 1.f / (1.f + std::exp(-tmp_f)); + tmp = quantize_qasymm8_signed(tmp_f, qi_out); + } + else if(act == ActivationLayerInfo::ActivationFunction::TANH) + { + float tmp_f = dequantize_qasymm8_signed(in, qi_in); + tmp_f = a_f32 * std::tanh(b_f32 * tmp_f); + tmp = quantize_qasymm8_signed(tmp_f, qi_out); + } + else if(act == ActivationLayerInfo::ActivationFunction::HARD_SWISH) + { + float tmp_f = dequantize_qasymm8_signed(in, qi_in); + tmp_f = tmp_f * ((std::min(std::max((tmp_f + 3), 0.0f), 6.0f)) * 0.166666667f); + tmp = quantize_qasymm8_signed(tmp_f, qi_out); + } + else if(act == ActivationLayerInfo::ActivationFunction::LEAKY_RELU) + { + float tmp_f = dequantize_qasymm8_signed(in, qi_in); + tmp_f = tmp_f > 0 ? tmp_f : tmp_f * a_f32; + tmp = quantize_qasymm8_signed(tmp_f, qi_out); + } + else + { + ARM_COMPUTE_ERROR("Unsupported activation function"); + } + *(output_ptr + x) = tmp; + } + }, + input, output); +} +} // namespace cpu +} // namespace arm_compute diff --git a/src/core/cpu/kernels/activation/NEON/qsymm16.cpp b/src/core/cpu/kernels/activation/NEON/qsymm16.cpp new file mode 100644 index 0000000000..9eee360427 --- /dev/null +++ b/src/core/cpu/kernels/activation/NEON/qsymm16.cpp @@ -0,0 +1,139 @@ +/* + * Copyright (c) 2020-2021 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 "arm_compute/core/Helpers.h" +#include "arm_compute/core/ITensorPack.h" +#include "arm_compute/core/Window.h" +#include "arm_compute/core/experimental/Types.h" +#include "src/core/NEON/NEMath.h" +#include "src/core/NEON/NESymm.h" +#include "src/core/NEON/wrapper/wrapper.h" +#include "src/core/common/Validate.h" + +#include +#include +#include + +namespace arm_compute +{ +namespace cpu +{ +void qsymm16_neon_activation(const ITensor *src, ITensor *dst, const ActivationLayerInfo &act_info, const Window &window) +{ + constexpr int window_step_x = 8; + const auto window_start_x = static_cast(window.x().start()); + const auto window_end_x = static_cast(window.x().end()); + const ActivationLayerInfo::ActivationFunction act = act_info.activation(); + + 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); + + const UniformQuantizationInfo qi_in = src->info()->quantization_info().uniform(); + const UniformQuantizationInfo qi_out = dst->info()->quantization_info().uniform(); + const auto vconst_1 = vdupq_n_f32(1.f); + const float32x4_t va_f32 = vdupq_n_f32(act_info.a()); + const float32x4_t vb_f32 = vdupq_n_f32(act_info.b()); + const float a_f32 = act_info.a(); + const float b_f32 = act_info.b(); + + execute_window_loop(win_collapsed, [&](const Coordinates &) + { + const auto input_ptr = reinterpret_cast(input.ptr()); + const auto output_ptr = reinterpret_cast(output.ptr()); + + wrapper::traits::neon_bitvector_t tmp; + ARM_COMPUTE_UNUSED(tmp); + + // Compute S elements per iteration + int x = window_start_x; + for(; x <= (window_end_x - window_step_x); x += window_step_x) + { + const auto vin = wrapper::vloadq(input_ptr + x); + if(act == ActivationLayerInfo::ActivationFunction::LOGISTIC) + { + // De-quantize + const auto vin_deq = vdequantize_int16(vin, qi_in.scale); + // Perform activation + const float32x4x2_t tmp_dep = + { + { + wrapper::vdiv(vconst_1, wrapper::vadd(vconst_1, wrapper::vexpq(wrapper::vneg(vin_deq.val[0])))), + wrapper::vdiv(vconst_1, wrapper::vadd(vconst_1, wrapper::vexpq(wrapper::vneg(vin_deq.val[1])))), + } + }; + // Re-quantize to new output space + tmp = vquantize_int16(tmp_dep, qi_out.scale); + } + else if(act == ActivationLayerInfo::ActivationFunction::TANH) + { + // De-quantize + const auto vin_deq = vdequantize_int16(vin, qi_in.scale); + // Perform activation + const float32x4x2_t tmp_dep = + { + { + wrapper::vmul(va_f32, wrapper::vtanh(wrapper::vmul(vin_deq.val[0], vb_f32))), + wrapper::vmul(va_f32, wrapper::vtanh(wrapper::vmul(vin_deq.val[1], vb_f32))), + } + }; + // Re-quantize to new output space + tmp = vquantize_int16(tmp_dep, qi_out.scale); + } + else + { + ARM_COMPUTE_ERROR("Unsupported activation function"); + } + wrapper::vstore(output_ptr + x, tmp); + } + + // Compute left-over elements + for(; x < window_end_x; ++x) + { + qsymm16_t in = *(reinterpret_cast(input_ptr + x)); + qsymm16_t tmp = 0; + if(act == ActivationLayerInfo::ActivationFunction::LOGISTIC) + { + float tmp_f = dequantize_qsymm16(in, qi_in.scale); + tmp_f = 1.f / (1.f + std::exp(-tmp_f)); + tmp = quantize_qsymm16(tmp_f, qi_out); + } + else if(act == ActivationLayerInfo::ActivationFunction::TANH) + { + float tmp_f = dequantize_qsymm16(in, qi_in.scale); + tmp_f = a_f32 * std::tanh(b_f32 * tmp_f); + tmp = quantize_qsymm16(tmp_f, qi_out); + } + else + { + ARM_COMPUTE_ERROR("Unsupported activation function"); + } + *(output_ptr + x) = tmp; + } + }, + input, output); +} +} // namespace cpu +} // namespace arm_compute -- cgit v1.2.1