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-rw-r--r--src/cpu/kernels/CpuGemmLowpOffsetContributionOutputStageKernel.cpp748
1 files changed, 407 insertions, 341 deletions
diff --git a/src/cpu/kernels/CpuGemmLowpOffsetContributionOutputStageKernel.cpp b/src/cpu/kernels/CpuGemmLowpOffsetContributionOutputStageKernel.cpp
index 190487eced..d008842398 100644
--- a/src/cpu/kernels/CpuGemmLowpOffsetContributionOutputStageKernel.cpp
+++ b/src/cpu/kernels/CpuGemmLowpOffsetContributionOutputStageKernel.cpp
@@ -31,10 +31,11 @@
#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/wrapper/wrapper.h"
+
#include "src/core/helpers/AutoConfiguration.h"
#include "src/core/helpers/WindowHelpers.h"
+#include "src/core/NEON/NEAsymm.h"
+#include "src/core/NEON/wrapper/wrapper.h"
#include <arm_neon.h>
@@ -48,80 +49,38 @@ namespace
{
inline int32x4x4_t load_results_input(const Iterator &mm_result_it, int32_t x)
{
- return
- {
- {
- vld1q_s32(reinterpret_cast<const int32_t *>(mm_result_it.ptr()) + x + 0),
- vld1q_s32(reinterpret_cast<const int32_t *>(mm_result_it.ptr()) + x + 4),
- vld1q_s32(reinterpret_cast<const int32_t *>(mm_result_it.ptr()) + x + 8),
- vld1q_s32(reinterpret_cast<const int32_t *>(mm_result_it.ptr()) + x + 12)
- }
- };
+ return {{vld1q_s32(reinterpret_cast<const int32_t *>(mm_result_it.ptr()) + x + 0),
+ vld1q_s32(reinterpret_cast<const int32_t *>(mm_result_it.ptr()) + x + 4),
+ vld1q_s32(reinterpret_cast<const int32_t *>(mm_result_it.ptr()) + x + 8),
+ vld1q_s32(reinterpret_cast<const int32_t *>(mm_result_it.ptr()) + x + 12)}};
}
inline int32x4x4_t load(const int32_t *ptr, int32_t x)
{
- return
- {
- {
- vld1q_s32(ptr + x + 0),
- vld1q_s32(ptr + x + 4),
- vld1q_s32(ptr + x + 8),
- vld1q_s32(ptr + x + 12)
- }
- };
+ return {{vld1q_s32(ptr + x + 0), vld1q_s32(ptr + x + 4), vld1q_s32(ptr + x + 8), vld1q_s32(ptr + x + 12)}};
}
inline int32x4x4_t add_s32(int32x4x4_t a, int32x4_t b)
{
- return
- {
- {
- vaddq_s32(a.val[0], b),
- vaddq_s32(a.val[1], b),
- vaddq_s32(a.val[2], b),
- vaddq_s32(a.val[3], b)
- }
- };
+ return {{vaddq_s32(a.val[0], b), vaddq_s32(a.val[1], b), vaddq_s32(a.val[2], b), vaddq_s32(a.val[3], b)}};
}
inline int32x4x4_t add_s32(int32x4x4_t a, int32x4x4_t b)
{
- return
- {
- {
- vaddq_s32(a.val[0], b.val[0]),
- vaddq_s32(a.val[1], b.val[1]),
- vaddq_s32(a.val[2], b.val[2]),
- vaddq_s32(a.val[3], b.val[3])
- }
- };
+ return {{vaddq_s32(a.val[0], b.val[0]), vaddq_s32(a.val[1], b.val[1]), vaddq_s32(a.val[2], b.val[2]),
+ vaddq_s32(a.val[3], b.val[3])}};
}
inline int32x4x4_t mul_s32(int32x4x4_t &a, int32_t mul_scalar)
{
- return
- {
- {
- vmulq_n_s32(a.val[0], mul_scalar),
- vmulq_n_s32(a.val[1], mul_scalar),
- vmulq_n_s32(a.val[2], mul_scalar),
- vmulq_n_s32(a.val[3], mul_scalar)
- }
- };
+ return {{vmulq_n_s32(a.val[0], mul_scalar), vmulq_n_s32(a.val[1], mul_scalar), vmulq_n_s32(a.val[2], mul_scalar),
+ vmulq_n_s32(a.val[3], mul_scalar)}};
}
inline int32x4x4_t mul_s32(int32x4x4_t &a, const int32_t *multilpier)
{
- return
- {
- {
- vmulq_s32(a.val[0], vld1q_s32(multilpier)),
- vmulq_s32(a.val[1], vld1q_s32(multilpier + 4)),
- vmulq_s32(a.val[2], vld1q_s32(multilpier + 8)),
- vmulq_s32(a.val[3], vld1q_s32(multilpier + 12))
- }
- };
+ return {{vmulq_s32(a.val[0], vld1q_s32(multilpier)), vmulq_s32(a.val[1], vld1q_s32(multilpier + 4)),
+ vmulq_s32(a.val[2], vld1q_s32(multilpier + 8)), vmulq_s32(a.val[3], vld1q_s32(multilpier + 12))}};
}
inline int32x4x4_t get_a_offset(const int32_t *vector_sum_col_ptr, int32_t a_offset, int32_t x)
@@ -144,18 +103,11 @@ inline int32x4_t get_b_offset(const int32_t *vector_sum_row_ptr, int32_t b_offse
inline int32x4x4_t get_k_offset(int32_t k_offset)
{
- return
- {
- {
- vdupq_n_s32(k_offset),
- vdupq_n_s32(k_offset),
- vdupq_n_s32(k_offset),
- vdupq_n_s32(k_offset)
- }
- };
+ return {{vdupq_n_s32(k_offset), vdupq_n_s32(k_offset), vdupq_n_s32(k_offset), vdupq_n_s32(k_offset)}};
}
-inline uint8x16_t finalize_quantization_floating_point(int32x4x4_t &in_s32, int32x4_t result_shift_s32, uint8x16_t min_u8, uint8x16_t max_u8, bool is_bounded_relu)
+inline uint8x16_t finalize_quantization_floating_point(
+ int32x4x4_t &in_s32, int32x4_t result_shift_s32, uint8x16_t min_u8, uint8x16_t max_u8, bool is_bounded_relu)
{
const static int32x4_t zero_s32 = vdupq_n_s32(0);
@@ -172,18 +124,13 @@ inline uint8x16_t finalize_quantization_floating_point(int32x4x4_t &in_s32, int3
in_s32.val[3] = vmaxq_s32(in_s32.val[3], zero_s32);
// Convert S32 to S16
- const int16x8x2_t in_s16 =
- {
- {
- vcombine_s16(vqmovn_s32(in_s32.val[0]), vqmovn_s32(in_s32.val[1])),
- vcombine_s16(vqmovn_s32(in_s32.val[2]), vqmovn_s32(in_s32.val[3]))
- }
- };
+ const int16x8x2_t in_s16 = {{vcombine_s16(vqmovn_s32(in_s32.val[0]), vqmovn_s32(in_s32.val[1])),
+ vcombine_s16(vqmovn_s32(in_s32.val[2]), vqmovn_s32(in_s32.val[3]))}};
// Convert S16 to U8
uint8x16_t out_u8 = vcombine_u8(vqmovun_s16(in_s16.val[0]), vqmovun_s16(in_s16.val[1]));
- if(is_bounded_relu)
+ if (is_bounded_relu)
{
out_u8 = vmaxq_u8(out_u8, min_u8);
out_u8 = vminq_u8(out_u8, max_u8);
@@ -192,7 +139,8 @@ inline uint8x16_t finalize_quantization_floating_point(int32x4x4_t &in_s32, int3
return out_u8;
}
-inline int8x16_t finalize_quantization_floating_point(int32x4x4_t &in_s32, int32x4_t result_shift_s32, int8x16_t min_s8, int8x16_t max_s8, bool is_bounded_relu)
+inline int8x16_t finalize_quantization_floating_point(
+ int32x4x4_t &in_s32, int32x4_t result_shift_s32, int8x16_t min_s8, int8x16_t max_s8, bool is_bounded_relu)
{
const static int32x4_t zero_s32 = vdupq_n_s32(0);
@@ -209,18 +157,13 @@ inline int8x16_t finalize_quantization_floating_point(int32x4x4_t &in_s32, int32
in_s32.val[3] = vmaxq_s32(in_s32.val[3], zero_s32);
// Convert S32 to S16
- const int16x8x2_t in_s16 =
- {
- {
- vcombine_s16(vqmovn_s32(in_s32.val[0]), vqmovn_s32(in_s32.val[1])),
- vcombine_s16(vqmovn_s32(in_s32.val[2]), vqmovn_s32(in_s32.val[3]))
- }
- };
+ const int16x8x2_t in_s16 = {{vcombine_s16(vqmovn_s32(in_s32.val[0]), vqmovn_s32(in_s32.val[1])),
+ vcombine_s16(vqmovn_s32(in_s32.val[2]), vqmovn_s32(in_s32.val[3]))}};
// Convert S16 to S8
int8x16_t out_s8 = vcombine_s8(vqmovn_s16(in_s16.val[0]), vqmovn_s16(in_s16.val[1]));
- if(is_bounded_relu)
+ if (is_bounded_relu)
{
out_s8 = vmaxq_s8(out_s8, min_s8);
out_s8 = vminq_s8(out_s8, max_s8);
@@ -229,7 +172,8 @@ inline int8x16_t finalize_quantization_floating_point(int32x4x4_t &in_s32, int32
return out_s8;
}
-inline int8x16_t finalize_quantization_floating_point(int32x4x4_t &in_s32, int32x4x4_t result_shift_s32, int8x16_t min_s8, int8x16_t max_s8, bool is_bounded_relu)
+inline int8x16_t finalize_quantization_floating_point(
+ int32x4x4_t &in_s32, int32x4x4_t result_shift_s32, int8x16_t min_s8, int8x16_t max_s8, bool is_bounded_relu)
{
const static int32x4_t zero_s32 = vdupq_n_s32(0);
@@ -246,18 +190,13 @@ inline int8x16_t finalize_quantization_floating_point(int32x4x4_t &in_s32, int32
in_s32.val[3] = vmaxq_s32(in_s32.val[3], zero_s32);
// Convert S32 to S16
- const int16x8x2_t in_s16 =
- {
- {
- vcombine_s16(vqmovn_s32(in_s32.val[0]), vqmovn_s32(in_s32.val[1])),
- vcombine_s16(vqmovn_s32(in_s32.val[2]), vqmovn_s32(in_s32.val[3]))
- }
- };
+ const int16x8x2_t in_s16 = {{vcombine_s16(vqmovn_s32(in_s32.val[0]), vqmovn_s32(in_s32.val[1])),
+ vcombine_s16(vqmovn_s32(in_s32.val[2]), vqmovn_s32(in_s32.val[3]))}};
// Convert S16 to S8
int8x16_t out_s8 = vcombine_s8(vqmovn_s16(in_s16.val[0]), vqmovn_s16(in_s16.val[1]));
- if(is_bounded_relu)
+ if (is_bounded_relu)
{
out_s8 = vmaxq_s8(out_s8, min_s8);
out_s8 = vminq_s8(out_s8, max_s8);
@@ -305,81 +244,103 @@ inline Iterator get_bias_it(const Window &window, const ITensor *bias)
}
template <typename VT>
-inline void run_offset_contribution_output_stage_window(const int32_t *vector_sum_col_ptr, const int32_t *vector_sum_row_ptr, const int32_t *bias_ptr, Iterator mm_result_it, Iterator out_it,
- const int32x4_t result_offset_s32, const int32x4_t result_shift_s32,
- typename VT::vtype min_vec, typename VT::vtype max_vec,
- int32_t a_offset, int32_t b_offset, int32_t k_offset,
- int32_t multiplier, int32_t shift, int32_t offset, int32_t min_bound, int32_t max_bound,
- int window_step_x, int window_start_x, int window_end_x, bool has_a_offset, bool has_b_offset, bool has_bias, bool is_bounded_relu, bool is_fixed_point)
+inline void run_offset_contribution_output_stage_window(const int32_t *vector_sum_col_ptr,
+ const int32_t *vector_sum_row_ptr,
+ const int32_t *bias_ptr,
+ Iterator mm_result_it,
+ Iterator out_it,
+ const int32x4_t result_offset_s32,
+ const int32x4_t result_shift_s32,
+ typename VT::vtype min_vec,
+ typename VT::vtype max_vec,
+ int32_t a_offset,
+ int32_t b_offset,
+ int32_t k_offset,
+ int32_t multiplier,
+ int32_t shift,
+ int32_t offset,
+ int32_t min_bound,
+ int32_t max_bound,
+ int window_step_x,
+ int window_start_x,
+ int window_end_x,
+ bool has_a_offset,
+ bool has_b_offset,
+ bool has_bias,
+ bool is_bounded_relu,
+ bool is_fixed_point)
{
- int32x4x4_t offset_term_s32 = { 0, 0, 0, 0 };
- if(!is_fixed_point)
+ int32x4x4_t offset_term_s32 = {0, 0, 0, 0};
+ if (!is_fixed_point)
{
// Combine quantization offset with other offsets.
offset_term_s32 = add_s32(offset_term_s32, result_offset_s32);
}
- if(has_a_offset && has_b_offset)
+ if (has_a_offset && has_b_offset)
{
offset_term_s32 = add_s32(offset_term_s32, get_k_offset(k_offset));
}
- if(has_b_offset)
+ if (has_b_offset)
{
offset_term_s32 = add_s32(offset_term_s32, get_b_offset(vector_sum_row_ptr, b_offset));
}
int x = window_start_x;
- for(; x <= (window_end_x - window_step_x); x += window_step_x)
+ for (; x <= (window_end_x - window_step_x); x += window_step_x)
{
int32x4x4_t in_s32 = load_results_input(mm_result_it, x);
- if(has_a_offset)
+ if (has_a_offset)
{
in_s32 = add_s32(in_s32, get_a_offset(vector_sum_col_ptr, a_offset, x));
}
- if(has_bias)
+ if (has_bias)
{
in_s32 = add_s32(in_s32, load(bias_ptr, x));
}
- if(!is_fixed_point || has_b_offset)
+ if (!is_fixed_point || has_b_offset)
{
in_s32 = add_s32(in_s32, offset_term_s32);
}
- if(!is_fixed_point)
+ if (!is_fixed_point)
{
in_s32 = mul_s32(in_s32, multiplier);
}
- if(is_fixed_point)
+ if (is_fixed_point)
{
- wrapper::vstore(reinterpret_cast<typename VT::stype *>(out_it.ptr() + x),
- finalize_quantization(in_s32, multiplier, shift, result_offset_s32, min_vec, max_vec, is_bounded_relu));
+ wrapper::vstore(
+ reinterpret_cast<typename VT::stype *>(out_it.ptr() + x),
+ finalize_quantization(in_s32, multiplier, shift, result_offset_s32, min_vec, max_vec, is_bounded_relu));
}
else
{
- wrapper::vstore(reinterpret_cast<typename VT::stype *>(out_it.ptr() + x),
- finalize_quantization_floating_point(in_s32, result_shift_s32, min_vec, max_vec, is_bounded_relu));
+ wrapper::vstore(
+ reinterpret_cast<typename VT::stype *>(out_it.ptr() + x),
+ finalize_quantization_floating_point(in_s32, result_shift_s32, min_vec, max_vec, is_bounded_relu));
}
}
// Compute left-over elements
- for(; x < window_end_x; ++x)
+ for (; x < window_end_x; ++x)
{
- int32_t in_value = *(reinterpret_cast<const int32_t *>(mm_result_it.ptr()) + x) + wrapper::vgetlane(offset_term_s32.val[0], 0);
+ int32_t in_value =
+ *(reinterpret_cast<const int32_t *>(mm_result_it.ptr()) + x) + wrapper::vgetlane(offset_term_s32.val[0], 0);
- if(has_a_offset)
+ if (has_a_offset)
{
in_value += (*(vector_sum_col_ptr + x) * a_offset);
}
- if(has_bias)
+ if (has_bias)
{
in_value += *(bias_ptr + x);
}
- if(is_fixed_point)
+ if (is_fixed_point)
{
// Finalize and store the result
- *reinterpret_cast<typename VT::stype *>(out_it.ptr() + x) = finalize_quantization(in_value, multiplier, shift, offset,
- static_cast<typename VT::stype>(min_bound),
- static_cast<typename VT::stype>(max_bound), is_bounded_relu);
+ *reinterpret_cast<typename VT::stype *>(out_it.ptr() + x) =
+ finalize_quantization(in_value, multiplier, shift, offset, static_cast<typename VT::stype>(min_bound),
+ static_cast<typename VT::stype>(max_bound), is_bounded_relu);
}
else
{
@@ -387,75 +348,100 @@ inline void run_offset_contribution_output_stage_window(const int32_t *vector_su
in_value = (in_value * multiplier) >> shift;
// Bound and store the result
- if(is_bounded_relu)
+ if (is_bounded_relu)
{
- in_value = static_cast<typename VT::stype>(std::max<int32_t>(min_bound, std::min<int32_t>(max_bound, in_value)));
+ in_value = static_cast<typename VT::stype>(
+ std::max<int32_t>(min_bound, std::min<int32_t>(max_bound, in_value)));
}
- *reinterpret_cast<typename VT::stype *>(out_it.ptr() + x) = static_cast<typename VT::stype>(std::max<int32_t>(static_cast<int32_t>(std::numeric_limits<typename VT::stype>::lowest()),
- std::min<int32_t>(static_cast<int32_t>(std::numeric_limits<typename VT::stype>::max()), in_value)));
+ *reinterpret_cast<typename VT::stype *>(out_it.ptr() + x) =
+ static_cast<typename VT::stype>(std::max<int32_t>(
+ static_cast<int32_t>(std::numeric_limits<typename VT::stype>::lowest()),
+ std::min<int32_t>(static_cast<int32_t>(std::numeric_limits<typename VT::stype>::max()), in_value)));
}
}
}
-inline void run_offset_contribution_output_stage_window_symm(const int32_t *vector_sum_col_ptr, const int32_t *bias_ptr, Iterator mm_result_it, Iterator out_it,
- const int32_t *result_multipliers, const int32_t *result_shifts,
- const int32x4_t result_offset, int8x16_t min_s8, int8x16_t max_s8,
- int32_t a_offset, int32_t offset, int32_t min_bound, int32_t max_bound,
- int window_step_x, int window_start_x, int window_end_x, bool has_a_offset, bool has_bias, bool is_bounded_relu, bool is_fixed_point)
+inline void run_offset_contribution_output_stage_window_symm(const int32_t *vector_sum_col_ptr,
+ const int32_t *bias_ptr,
+ Iterator mm_result_it,
+ Iterator out_it,
+ const int32_t *result_multipliers,
+ const int32_t *result_shifts,
+ const int32x4_t result_offset,
+ int8x16_t min_s8,
+ int8x16_t max_s8,
+ int32_t a_offset,
+ int32_t offset,
+ int32_t min_bound,
+ int32_t max_bound,
+ int window_step_x,
+ int window_start_x,
+ int window_end_x,
+ bool has_a_offset,
+ bool has_bias,
+ bool is_bounded_relu,
+ bool is_fixed_point)
{
- int32x4x4_t offset_term_s32 = { 0, 0, 0, 0 };
- if(!is_fixed_point)
+ int32x4x4_t offset_term_s32 = {0, 0, 0, 0};
+ if (!is_fixed_point)
{
// Combine quantization offset with other offsets.
offset_term_s32 = add_s32(offset_term_s32, result_offset);
}
int x = window_start_x;
- for(; x <= (window_end_x - window_step_x); x += window_step_x)
+ for (; x <= (window_end_x - window_step_x); x += window_step_x)
{
int32x4x4_t in_s32 = load_results_input(mm_result_it, x);
- if(has_a_offset)
+ if (has_a_offset)
{
in_s32 = add_s32(in_s32, get_a_offset(vector_sum_col_ptr, a_offset, x));
}
- if(has_bias)
+ if (has_bias)
{
in_s32 = add_s32(in_s32, load(bias_ptr, x));
}
- if(!is_fixed_point)
+ if (!is_fixed_point)
{
in_s32 = add_s32(in_s32, offset_term_s32);
in_s32 = mul_s32(in_s32, result_multipliers + x);
}
- if(is_fixed_point)
+ if (is_fixed_point)
{
- vst1q_s8(reinterpret_cast<int8_t *>(out_it.ptr() + x), finalize_quantization_symm(in_s32, load(result_multipliers, x), load(result_shifts, x), result_offset, min_s8, max_s8, is_bounded_relu));
+ vst1q_s8(reinterpret_cast<int8_t *>(out_it.ptr() + x),
+ finalize_quantization_symm(in_s32, load(result_multipliers, x), load(result_shifts, x),
+ result_offset, min_s8, max_s8, is_bounded_relu));
}
else
{
- vst1q_s8(reinterpret_cast<int8_t *>(out_it.ptr() + x), finalize_quantization_floating_point(in_s32, load(result_shifts, x), min_s8, max_s8, is_bounded_relu));
+ vst1q_s8(
+ reinterpret_cast<int8_t *>(out_it.ptr() + x),
+ finalize_quantization_floating_point(in_s32, load(result_shifts, x), min_s8, max_s8, is_bounded_relu));
}
}
// Compute left-over elements
- for(; x < window_end_x; ++x)
+ for (; x < window_end_x; ++x)
{
- int32_t in_value = *(reinterpret_cast<const int32_t *>(mm_result_it.ptr()) + x) + wrapper::vgetlane(offset_term_s32.val[0], 0);
+ int32_t in_value =
+ *(reinterpret_cast<const int32_t *>(mm_result_it.ptr()) + x) + wrapper::vgetlane(offset_term_s32.val[0], 0);
- if(has_a_offset)
+ if (has_a_offset)
{
in_value += (*(vector_sum_col_ptr + x) * a_offset);
}
- if(has_bias)
+ if (has_bias)
{
in_value += *(bias_ptr + x);
}
- if(is_fixed_point)
+ if (is_fixed_point)
{
// Finalize and store the result
- *(out_it.ptr() + x) = finalize_quantization(in_value, result_multipliers[x], result_shifts[x], offset, static_cast<int8_t>(min_bound), static_cast<int8_t>(max_bound), is_bounded_relu);
+ *(out_it.ptr() + x) =
+ finalize_quantization(in_value, result_multipliers[x], result_shifts[x], offset,
+ static_cast<int8_t>(min_bound), static_cast<int8_t>(max_bound), is_bounded_relu);
}
else
{
@@ -463,7 +449,7 @@ inline void run_offset_contribution_output_stage_window_symm(const int32_t *vect
in_value = (in_value * result_multipliers[x]) >> (-result_shifts[x]);
// Bound and store the result
- if(is_bounded_relu)
+ if (is_bounded_relu)
{
in_value = static_cast<int8_t>(std::max<int32_t>(min_bound, std::min<int32_t>(max_bound, in_value)));
}
@@ -473,10 +459,20 @@ inline void run_offset_contribution_output_stage_window_symm(const int32_t *vect
}
template <typename T>
-void run_offset_contribution_output_stage(const Window &window,
- const ITensor *mm_result, const ITensor *vector_sum_col, const ITensor *vector_sum_row, const ITensor *bias, ITensor *output,
- int32_t a_offset, int32_t b_offset, int32_t k_offset, bool is_vector_sum_col_batched,
- GEMMLowpOutputStageInfo output_stage, bool is_gemm3d, bool is_bounded_relu, bool is_fixed_point)
+void run_offset_contribution_output_stage(const Window &window,
+ const ITensor *mm_result,
+ const ITensor *vector_sum_col,
+ const ITensor *vector_sum_row,
+ const ITensor *bias,
+ ITensor *output,
+ int32_t a_offset,
+ int32_t b_offset,
+ int32_t k_offset,
+ bool is_vector_sum_col_batched,
+ GEMMLowpOutputStageInfo output_stage,
+ bool is_gemm3d,
+ bool is_bounded_relu,
+ bool is_fixed_point)
{
// Semantics of XYZW Explained for each tensor
//
@@ -516,7 +512,7 @@ void run_offset_contribution_output_stage(const Window &window,
Iterator mm_result_it(mm_result, win);
Iterator out_it(output, win);
- if((a_offset != 0) && (b_offset != 0))
+ if ((a_offset != 0) && (b_offset != 0))
{
ARM_COMPUTE_ERROR_ON_NULLPTR(vector_sum_col);
ARM_COMPUTE_ERROR_ON_NULLPTR(vector_sum_row);
@@ -527,45 +523,52 @@ void run_offset_contribution_output_stage(const Window &window,
const size_t sum_row_stride_y = vector_sum_row->info()->strides_in_bytes().y();
// Offset in case vector_sum_col is batched in y dimension
- const int vector_sum_col_stride_batch = is_vector_sum_col_batched ? vector_sum_col->info()->strides_in_bytes().y() : 0;
+ const int vector_sum_col_stride_batch =
+ is_vector_sum_col_batched ? vector_sum_col->info()->strides_in_bytes().y() : 0;
- if(bias != nullptr)
+ if (bias != nullptr)
{
Iterator bias_it = get_bias_it(collapsed_window, bias);
- execute_window_loop(collapsed_window, [&](const Coordinates & id)
- {
- const int batch_id = id.z() / depth_input;
- const auto vector_sum_col_ptr = reinterpret_cast<const int32_t *>(vector_sum_col_it.ptr() + batch_id * vector_sum_col_stride_batch);
- const auto vector_sum_row_ptr = reinterpret_cast<const int32_t *>(vector_sum_row_it.ptr() + batch_id * sum_row_stride_y)
- + id.y() + (id.z() % depth_input) * height_input;
- run_offset_contribution_output_stage_window<Typer>(vector_sum_col_ptr, vector_sum_row_ptr, reinterpret_cast<const int32_t *>(bias_it.ptr()),
- mm_result_it,
- out_it,
- result_offset_s32, result_shift_s32,
- min_vec, max_vec, a_offset, b_offset, k_offset,
- multiplier, shift, offset, min_bound, max_bound,
- window_step_x, window_start_x, window_end_x, true, true, true, is_bounded_relu, is_fixed_point);
- },
- vector_sum_col_it, vector_sum_row_it, bias_it, mm_result_it, out_it);
+ execute_window_loop(
+ collapsed_window,
+ [&](const Coordinates &id)
+ {
+ const int batch_id = id.z() / depth_input;
+ const auto vector_sum_col_ptr = reinterpret_cast<const int32_t *>(
+ vector_sum_col_it.ptr() + batch_id * vector_sum_col_stride_batch);
+ const auto vector_sum_row_ptr =
+ reinterpret_cast<const int32_t *>(vector_sum_row_it.ptr() + batch_id * sum_row_stride_y) +
+ id.y() + (id.z() % depth_input) * height_input;
+ run_offset_contribution_output_stage_window<Typer>(
+ vector_sum_col_ptr, vector_sum_row_ptr, reinterpret_cast<const int32_t *>(bias_it.ptr()),
+ mm_result_it, out_it, result_offset_s32, result_shift_s32, min_vec, max_vec, a_offset, b_offset,
+ k_offset, multiplier, shift, offset, min_bound, max_bound, window_step_x, window_start_x,
+ window_end_x, true, true, true, is_bounded_relu, is_fixed_point);
+ },
+ vector_sum_col_it, vector_sum_row_it, bias_it, mm_result_it, out_it);
}
else
{
- execute_window_loop(collapsed_window, [&](const Coordinates & id)
- {
- const int batch_id = id.z() / depth_input;
- const auto vector_sum_col_ptr = reinterpret_cast<const int32_t *>(vector_sum_col_it.ptr() + batch_id * vector_sum_col_stride_batch);
- const auto vector_sum_row_ptr = reinterpret_cast<const int32_t *>(vector_sum_row_it.ptr() + batch_id * sum_row_stride_y)
- + id.y() + (id.z() % depth_input) * height_input;
- run_offset_contribution_output_stage_window<Typer>(vector_sum_col_ptr, vector_sum_row_ptr, nullptr, mm_result_it, out_it,
- result_offset_s32, result_shift_s32,
- min_vec, max_vec, a_offset, b_offset, k_offset,
- multiplier, shift, offset, min_bound, max_bound,
- window_step_x, window_start_x, window_end_x, true, true, false, is_bounded_relu, is_fixed_point);
- },
- vector_sum_col_it, vector_sum_row_it, mm_result_it, out_it);
+ execute_window_loop(
+ collapsed_window,
+ [&](const Coordinates &id)
+ {
+ const int batch_id = id.z() / depth_input;
+ const auto vector_sum_col_ptr = reinterpret_cast<const int32_t *>(
+ vector_sum_col_it.ptr() + batch_id * vector_sum_col_stride_batch);
+ const auto vector_sum_row_ptr =
+ reinterpret_cast<const int32_t *>(vector_sum_row_it.ptr() + batch_id * sum_row_stride_y) +
+ id.y() + (id.z() % depth_input) * height_input;
+ run_offset_contribution_output_stage_window<Typer>(
+ vector_sum_col_ptr, vector_sum_row_ptr, nullptr, mm_result_it, out_it, result_offset_s32,
+ result_shift_s32, min_vec, max_vec, a_offset, b_offset, k_offset, multiplier, shift, offset,
+ min_bound, max_bound, window_step_x, window_start_x, window_end_x, true, true, false,
+ is_bounded_relu, is_fixed_point);
+ },
+ vector_sum_col_it, vector_sum_row_it, mm_result_it, out_it);
}
}
- else if((a_offset == 0) && (b_offset != 0))
+ else if ((a_offset == 0) && (b_offset != 0))
{
ARM_COMPUTE_ERROR_ON_NULLPTR(vector_sum_row);
@@ -573,114 +576,139 @@ void run_offset_contribution_output_stage(const Window &window,
const size_t sum_row_stride_y = vector_sum_row->info()->strides_in_bytes().y();
- if(bias != nullptr)
+ if (bias != nullptr)
{
Iterator bias_it = get_bias_it(collapsed_window, bias);
- execute_window_loop(collapsed_window, [&](const Coordinates & id)
- {
- const int batch_id = id.z() / depth_input;
- const auto vector_sum_row_ptr = reinterpret_cast<const int32_t *>(vector_sum_row_it.ptr() + batch_id * sum_row_stride_y)
- + id.y() + (id.z() % depth_input) * height_input;
- run_offset_contribution_output_stage_window<Typer>(nullptr, vector_sum_row_ptr, reinterpret_cast<const int32_t *>(bias_it.ptr()), mm_result_it,
- out_it,
- result_offset_s32, result_shift_s32,
- min_vec, max_vec, a_offset, b_offset, k_offset,
- multiplier, shift, offset, min_bound, max_bound,
- window_step_x, window_start_x, window_end_x, false, true, true, is_bounded_relu, is_fixed_point);
- },
- vector_sum_row_it, bias_it, mm_result_it, out_it);
+ execute_window_loop(
+ collapsed_window,
+ [&](const Coordinates &id)
+ {
+ const int batch_id = id.z() / depth_input;
+ const auto vector_sum_row_ptr =
+ reinterpret_cast<const int32_t *>(vector_sum_row_it.ptr() + batch_id * sum_row_stride_y) +
+ id.y() + (id.z() % depth_input) * height_input;
+ run_offset_contribution_output_stage_window<Typer>(
+ nullptr, vector_sum_row_ptr, reinterpret_cast<const int32_t *>(bias_it.ptr()), mm_result_it,
+ out_it, result_offset_s32, result_shift_s32, min_vec, max_vec, a_offset, b_offset, k_offset,
+ multiplier, shift, offset, min_bound, max_bound, window_step_x, window_start_x, window_end_x,
+ false, true, true, is_bounded_relu, is_fixed_point);
+ },
+ vector_sum_row_it, bias_it, mm_result_it, out_it);
}
else
{
- execute_window_loop(collapsed_window, [&](const Coordinates & id)
- {
- const int batch_id = id.z() / depth_input;
- const auto vector_sum_row_ptr = reinterpret_cast<const int32_t *>(vector_sum_row_it.ptr() + batch_id * sum_row_stride_y)
- + id.y() + (id.z() % depth_input) * height_input;
- run_offset_contribution_output_stage_window<Typer>(nullptr, vector_sum_row_ptr, nullptr, mm_result_it, out_it,
- result_offset_s32, result_shift_s32,
- min_vec, max_vec, a_offset, b_offset, k_offset,
- multiplier, shift, offset, min_bound, max_bound,
- window_step_x, window_start_x, window_end_x, false, true, false, is_bounded_relu, is_fixed_point);
- },
- vector_sum_row_it, mm_result_it, out_it);
+ execute_window_loop(
+ collapsed_window,
+ [&](const Coordinates &id)
+ {
+ const int batch_id = id.z() / depth_input;
+ const auto vector_sum_row_ptr =
+ reinterpret_cast<const int32_t *>(vector_sum_row_it.ptr() + batch_id * sum_row_stride_y) +
+ id.y() + (id.z() % depth_input) * height_input;
+ run_offset_contribution_output_stage_window<Typer>(
+ nullptr, vector_sum_row_ptr, nullptr, mm_result_it, out_it, result_offset_s32, result_shift_s32,
+ min_vec, max_vec, a_offset, b_offset, k_offset, multiplier, shift, offset, min_bound, max_bound,
+ window_step_x, window_start_x, window_end_x, false, true, false, is_bounded_relu,
+ is_fixed_point);
+ },
+ vector_sum_row_it, mm_result_it, out_it);
}
}
- else if((a_offset != 0) && (b_offset == 0))
+ else if ((a_offset != 0) && (b_offset == 0))
{
ARM_COMPUTE_ERROR_ON_NULLPTR(vector_sum_col);
Iterator vector_sum_col_it = get_vector_sum_col_it(collapsed_window, vector_sum_col);
// Offset in case vector_sum_col is batched in y dimension
- const int vector_sum_col_stride_batch = is_vector_sum_col_batched ? vector_sum_col->info()->strides_in_bytes().y() : 0;
+ const int vector_sum_col_stride_batch =
+ is_vector_sum_col_batched ? vector_sum_col->info()->strides_in_bytes().y() : 0;
- if(bias != nullptr)
+ if (bias != nullptr)
{
Iterator bias_it = get_bias_it(collapsed_window, bias);
- execute_window_loop(collapsed_window, [&](const Coordinates & id)
- {
- const int batch_id = id.z() / depth_input;
- const auto vector_sum_col_ptr = reinterpret_cast<const int32_t *>(vector_sum_col_it.ptr() + batch_id * vector_sum_col_stride_batch);
- run_offset_contribution_output_stage_window<Typer>(vector_sum_col_ptr, nullptr, reinterpret_cast<const int32_t *>(bias_it.ptr()), mm_result_it,
- out_it,
- result_offset_s32, result_shift_s32,
- min_vec, max_vec, a_offset, b_offset, k_offset,
- multiplier, shift, offset, min_bound, max_bound,
- window_step_x, window_start_x, window_end_x, true, false, true, is_bounded_relu, is_fixed_point);
- },
- vector_sum_col_it, bias_it, mm_result_it, out_it);
+ execute_window_loop(
+ collapsed_window,
+ [&](const Coordinates &id)
+ {
+ const int batch_id = id.z() / depth_input;
+ const auto vector_sum_col_ptr = reinterpret_cast<const int32_t *>(
+ vector_sum_col_it.ptr() + batch_id * vector_sum_col_stride_batch);
+ run_offset_contribution_output_stage_window<Typer>(
+ vector_sum_col_ptr, nullptr, reinterpret_cast<const int32_t *>(bias_it.ptr()), mm_result_it,
+ out_it, result_offset_s32, result_shift_s32, min_vec, max_vec, a_offset, b_offset, k_offset,
+ multiplier, shift, offset, min_bound, max_bound, window_step_x, window_start_x, window_end_x,
+ true, false, true, is_bounded_relu, is_fixed_point);
+ },
+ vector_sum_col_it, bias_it, mm_result_it, out_it);
}
else
{
- execute_window_loop(collapsed_window, [&](const Coordinates & id)
- {
- const int batch_id = id.z() / depth_input;
- const auto vector_sum_col_ptr = reinterpret_cast<const int32_t *>(vector_sum_col_it.ptr() + batch_id * vector_sum_col_stride_batch);
- run_offset_contribution_output_stage_window<Typer>(vector_sum_col_ptr, nullptr, nullptr, mm_result_it, out_it,
- result_offset_s32, result_shift_s32,
- min_vec, max_vec, a_offset, b_offset, k_offset,
- multiplier, shift, offset, min_bound, max_bound,
- window_step_x, window_start_x, window_end_x, true, false, false, is_bounded_relu, is_fixed_point);
- },
- vector_sum_col_it, mm_result_it, out_it);
+ execute_window_loop(
+ collapsed_window,
+ [&](const Coordinates &id)
+ {
+ const int batch_id = id.z() / depth_input;
+ const auto vector_sum_col_ptr = reinterpret_cast<const int32_t *>(
+ vector_sum_col_it.ptr() + batch_id * vector_sum_col_stride_batch);
+ run_offset_contribution_output_stage_window<Typer>(
+ vector_sum_col_ptr, nullptr, nullptr, mm_result_it, out_it, result_offset_s32, result_shift_s32,
+ min_vec, max_vec, a_offset, b_offset, k_offset, multiplier, shift, offset, min_bound, max_bound,
+ window_step_x, window_start_x, window_end_x, true, false, false, is_bounded_relu,
+ is_fixed_point);
+ },
+ vector_sum_col_it, mm_result_it, out_it);
}
}
else
{
- if(bias != nullptr)
+ if (bias != nullptr)
{
Iterator bias_it = get_bias_it(collapsed_window, bias);
- execute_window_loop(collapsed_window, [&](const Coordinates &)
- {
- run_offset_contribution_output_stage_window<Typer>(nullptr, nullptr, reinterpret_cast<const int32_t *>(bias_it.ptr()), mm_result_it, out_it,
- result_offset_s32, result_shift_s32,
- min_vec, max_vec, a_offset, b_offset, k_offset,
- multiplier, shift, offset, min_bound, max_bound,
- window_step_x, window_start_x, window_end_x, false, false, true, is_bounded_relu, is_fixed_point);
- },
- bias_it, mm_result_it, out_it);
+ execute_window_loop(
+ collapsed_window,
+ [&](const Coordinates &)
+ {
+ run_offset_contribution_output_stage_window<Typer>(
+ nullptr, nullptr, reinterpret_cast<const int32_t *>(bias_it.ptr()), mm_result_it, out_it,
+ result_offset_s32, result_shift_s32, min_vec, max_vec, a_offset, b_offset, k_offset, multiplier,
+ shift, offset, min_bound, max_bound, window_step_x, window_start_x, window_end_x, false, false,
+ true, is_bounded_relu, is_fixed_point);
+ },
+ bias_it, mm_result_it, out_it);
}
else
{
- execute_window_loop(collapsed_window, [&](const Coordinates &)
- {
- run_offset_contribution_output_stage_window<Typer>(nullptr, nullptr, nullptr, mm_result_it, out_it,
- result_offset_s32, result_shift_s32,
- min_vec, max_vec, a_offset, b_offset, k_offset,
- multiplier, shift, offset, min_bound, max_bound,
- window_step_x, window_start_x, window_end_x, false, false, false, is_bounded_relu, is_fixed_point);
- },
- mm_result_it, out_it);
+ execute_window_loop(
+ collapsed_window,
+ [&](const Coordinates &)
+ {
+ run_offset_contribution_output_stage_window<Typer>(
+ nullptr, nullptr, nullptr, mm_result_it, out_it, result_offset_s32, result_shift_s32, min_vec,
+ max_vec, a_offset, b_offset, k_offset, multiplier, shift, offset, min_bound, max_bound,
+ window_step_x, window_start_x, window_end_x, false, false, false, is_bounded_relu,
+ is_fixed_point);
+ },
+ mm_result_it, out_it);
}
return;
}
}
-void run_offset_contribution_output_stage_symm(const Window &window,
- const ITensor *mm_result, const ITensor *vector_sum_col, const ITensor *vector_sum_row, const ITensor *bias, ITensor *output,
- int32_t a_offset, int32_t b_offset, int32_t k_offset, bool is_vector_sum_col_batched,
- GEMMLowpOutputStageInfo output_stage, bool is_gemm3d, bool is_bounded_relu, bool is_fixed_point)
+void run_offset_contribution_output_stage_symm(const Window &window,
+ const ITensor *mm_result,
+ const ITensor *vector_sum_col,
+ const ITensor *vector_sum_row,
+ const ITensor *bias,
+ ITensor *output,
+ int32_t a_offset,
+ int32_t b_offset,
+ int32_t k_offset,
+ bool is_vector_sum_col_batched,
+ GEMMLowpOutputStageInfo output_stage,
+ bool is_gemm3d,
+ bool is_bounded_relu,
+ bool is_fixed_point)
{
ARM_COMPUTE_UNUSED(vector_sum_row, b_offset, k_offset);
@@ -690,8 +718,8 @@ void run_offset_contribution_output_stage_symm(const Window &window,
const int32_t min_bound = output_stage.gemmlowp_min_bound;
const int32_t max_bound = output_stage.gemmlowp_max_bound;
- const int32_t *result_multipliers = output_stage.gemmlowp_multipliers.data();
- const int32_t *result_shifts = output_stage.gemmlowp_shifts.data();
+ const int32_t *result_multipliers = output_stage.gemmlowp_multipliers.data();
+ const int32_t *result_shifts = output_stage.gemmlowp_shifts.data();
const int32x4_t result_offset_s32 = vdupq_n_s32(offset);
const int8x16_t min_s8 = vdupq_n_s8(static_cast<int8_t>(min_bound));
const int8x16_t max_s8 = vdupq_n_s8(static_cast<int8_t>(max_bound));
@@ -708,88 +736,105 @@ void run_offset_contribution_output_stage_symm(const Window &window,
Iterator mm_result_it(mm_result, win);
Iterator out_it(output, win);
- if(a_offset != 0)
+ if (a_offset != 0)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(vector_sum_col);
Iterator vector_sum_col_it = get_vector_sum_col_it(collapsed_window, vector_sum_col);
// Offset in case vector_sum_col is batched in y dimension
- const int vector_sum_col_stride_batch = is_vector_sum_col_batched ? vector_sum_col->info()->strides_in_bytes().y() : 0;
+ const int vector_sum_col_stride_batch =
+ is_vector_sum_col_batched ? vector_sum_col->info()->strides_in_bytes().y() : 0;
- if(bias != nullptr)
+ if (bias != nullptr)
{
Iterator bias_it = get_bias_it(collapsed_window, bias);
- execute_window_loop(collapsed_window, [&](const Coordinates & id)
- {
- const int batch_id = id.z() / depth_input;
- const auto vector_sum_col_ptr = reinterpret_cast<const int32_t *>(vector_sum_col_it.ptr() + batch_id * vector_sum_col_stride_batch);
- run_offset_contribution_output_stage_window_symm(vector_sum_col_ptr, reinterpret_cast<const int32_t *>(bias_it.ptr()), mm_result_it, out_it,
- result_multipliers, result_shifts,
- result_offset_s32, min_s8, max_s8,
- a_offset, offset, min_bound, max_bound,
- window_step_x, window_start_x, window_end_x, true, true, is_bounded_relu, is_fixed_point);
- },
- vector_sum_col_it, bias_it, mm_result_it, out_it);
+ execute_window_loop(
+ collapsed_window,
+ [&](const Coordinates &id)
+ {
+ const int batch_id = id.z() / depth_input;
+ const auto vector_sum_col_ptr = reinterpret_cast<const int32_t *>(
+ vector_sum_col_it.ptr() + batch_id * vector_sum_col_stride_batch);
+ run_offset_contribution_output_stage_window_symm(
+ vector_sum_col_ptr, reinterpret_cast<const int32_t *>(bias_it.ptr()), mm_result_it, out_it,
+ result_multipliers, result_shifts, result_offset_s32, min_s8, max_s8, a_offset, offset,
+ min_bound, max_bound, window_step_x, window_start_x, window_end_x, true, true, is_bounded_relu,
+ is_fixed_point);
+ },
+ vector_sum_col_it, bias_it, mm_result_it, out_it);
}
else
{
- execute_window_loop(collapsed_window, [&](const Coordinates & id)
- {
- const int batch_id = id.z() / depth_input;
- const auto vector_sum_col_ptr = reinterpret_cast<const int32_t *>(vector_sum_col_it.ptr() + batch_id * vector_sum_col_stride_batch);
- run_offset_contribution_output_stage_window_symm(vector_sum_col_ptr, nullptr, mm_result_it, out_it,
- result_multipliers, result_shifts,
- result_offset_s32, min_s8, max_s8,
- a_offset, offset, min_bound, max_bound,
- window_step_x, window_start_x, window_end_x, true, false, is_bounded_relu, is_fixed_point);
- },
- vector_sum_col_it, mm_result_it, out_it);
+ execute_window_loop(
+ collapsed_window,
+ [&](const Coordinates &id)
+ {
+ const int batch_id = id.z() / depth_input;
+ const auto vector_sum_col_ptr = reinterpret_cast<const int32_t *>(
+ vector_sum_col_it.ptr() + batch_id * vector_sum_col_stride_batch);
+ run_offset_contribution_output_stage_window_symm(
+ vector_sum_col_ptr, nullptr, mm_result_it, out_it, result_multipliers, result_shifts,
+ result_offset_s32, min_s8, max_s8, a_offset, offset, min_bound, max_bound, window_step_x,
+ window_start_x, window_end_x, true, false, is_bounded_relu, is_fixed_point);
+ },
+ vector_sum_col_it, mm_result_it, out_it);
}
}
else
{
- if(bias != nullptr)
+ if (bias != nullptr)
{
Iterator bias_it = get_bias_it(collapsed_window, bias);
- execute_window_loop(collapsed_window, [&](const Coordinates &)
- {
- run_offset_contribution_output_stage_window_symm(nullptr, reinterpret_cast<const int32_t *>(bias_it.ptr()), mm_result_it, out_it,
- result_multipliers, result_shifts,
- result_offset_s32, min_s8, max_s8,
- a_offset, offset, min_bound, max_bound,
- window_step_x, window_start_x, window_end_x, false, true, is_bounded_relu, is_fixed_point);
- },
- bias_it, mm_result_it, out_it);
+ execute_window_loop(
+ collapsed_window,
+ [&](const Coordinates &)
+ {
+ run_offset_contribution_output_stage_window_symm(
+ nullptr, reinterpret_cast<const int32_t *>(bias_it.ptr()), mm_result_it, out_it,
+ result_multipliers, result_shifts, result_offset_s32, min_s8, max_s8, a_offset, offset,
+ min_bound, max_bound, window_step_x, window_start_x, window_end_x, false, true, is_bounded_relu,
+ is_fixed_point);
+ },
+ bias_it, mm_result_it, out_it);
}
else
{
- execute_window_loop(collapsed_window, [&](const Coordinates &)
- {
- run_offset_contribution_output_stage_window_symm(nullptr, nullptr, mm_result_it, out_it,
- result_multipliers, result_shifts,
- result_offset_s32, min_s8, max_s8,
- a_offset, offset, min_bound, max_bound,
- window_step_x, window_start_x, window_end_x, false, false, is_bounded_relu, is_fixed_point);
- },
- mm_result_it, out_it);
+ execute_window_loop(
+ collapsed_window,
+ [&](const Coordinates &)
+ {
+ run_offset_contribution_output_stage_window_symm(
+ nullptr, nullptr, mm_result_it, out_it, result_multipliers, result_shifts, result_offset_s32,
+ min_s8, max_s8, a_offset, offset, min_bound, max_bound, window_step_x, window_start_x,
+ window_end_x, false, false, is_bounded_relu, is_fixed_point);
+ },
+ mm_result_it, out_it);
}
return;
}
}
-Status validate_arguments(const ITensorInfo *mm_result, const ITensorInfo *vector_sum_col, const ITensorInfo *vector_sum_row, const ITensorInfo *bias, const ITensorInfo *output,
- int32_t a_offset, int32_t b_offset, GEMMLowpOutputStageInfo output_stage)
+Status validate_arguments(const ITensorInfo *mm_result,
+ const ITensorInfo *vector_sum_col,
+ const ITensorInfo *vector_sum_row,
+ const ITensorInfo *bias,
+ const ITensorInfo *output,
+ int32_t a_offset,
+ int32_t b_offset,
+ GEMMLowpOutputStageInfo output_stage)
{
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(mm_result, 1, DataType::S32);
- if(output->data_type() != DataType::QASYMM8)
+ if (output->data_type() != DataType::QASYMM8)
{
- ARM_COMPUTE_RETURN_ERROR_ON(mm_result->dimension(0) > 1 && output_stage.gemmlowp_multipliers.size() > 1 && b_offset != 0);
+ ARM_COMPUTE_RETURN_ERROR_ON(mm_result->dimension(0) > 1 && output_stage.gemmlowp_multipliers.size() > 1 &&
+ b_offset != 0);
}
ARM_COMPUTE_RETURN_ERROR_ON(output_stage.gemmlowp_min_bound > output_stage.gemmlowp_max_bound);
- ARM_COMPUTE_RETURN_ERROR_ON(output_stage.type != GEMMLowpOutputStageType::QUANTIZE_DOWN && output_stage.type != GEMMLowpOutputStageType::QUANTIZE_DOWN_FIXEDPOINT);
+ ARM_COMPUTE_RETURN_ERROR_ON(output_stage.type != GEMMLowpOutputStageType::QUANTIZE_DOWN &&
+ output_stage.type != GEMMLowpOutputStageType::QUANTIZE_DOWN_FIXEDPOINT);
- if(bias != nullptr)
+ if (bias != nullptr)
{
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(bias, 1, DataType::S32);
ARM_COMPUTE_RETURN_ERROR_ON(bias->num_dimensions() > 1);
@@ -797,7 +842,7 @@ Status validate_arguments(const ITensorInfo *mm_result, const ITensorInfo *vecto
}
// If a_offset == 0, vector_sum_col can be a nullptr
- if(a_offset != 0)
+ if (a_offset != 0)
{
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(vector_sum_col, 1, DataType::S32);
ARM_COMPUTE_RETURN_ERROR_ON(vector_sum_col->dimension(0) != mm_result->dimension(0));
@@ -805,19 +850,21 @@ Status validate_arguments(const ITensorInfo *mm_result, const ITensorInfo *vecto
}
// If b_offset == 0, vector_sum_row can be a nullptr
- if(b_offset != 0)
+ if (b_offset != 0)
{
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(vector_sum_row, 1, DataType::S32);
// Check if input is a 3D reinterpretation
- const bool reinterpret_as_3d = mm_result->num_dimensions() > 1 && mm_result->tensor_shape().y() != vector_sum_row->tensor_shape().x();
+ const bool reinterpret_as_3d =
+ mm_result->num_dimensions() > 1 && mm_result->tensor_shape().y() != vector_sum_row->tensor_shape().x();
// Validate input
- ARM_COMPUTE_RETURN_ERROR_ON(reinterpret_as_3d && vector_sum_row->dimension(0) != (mm_result->dimension(1) * mm_result->dimension(2)));
+ ARM_COMPUTE_RETURN_ERROR_ON(reinterpret_as_3d && vector_sum_row->dimension(0) !=
+ (mm_result->dimension(1) * mm_result->dimension(2)));
ARM_COMPUTE_RETURN_ERROR_ON(!reinterpret_as_3d && vector_sum_row->dimension(0) != mm_result->dimension(1));
TensorShape output_shape = output->tensor_shape();
- if(output_shape.num_dimensions() > 1)
+ if (output_shape.num_dimensions() > 1)
{
const unsigned int output_batch_idx = reinterpret_as_3d ? 3 : 2;
@@ -828,13 +875,15 @@ Status validate_arguments(const ITensorInfo *mm_result, const ITensorInfo *vecto
ARM_COMPUTE_RETURN_ERROR_ON_MSG(vector_sum_row_shape[1] != output_shape[output_batch_idx],
"mm_result tensor must have the same number of batches of output tensor");
- if(a_offset != 0)
+ if (a_offset != 0)
{
TensorShape vector_sum_col_shape = vector_sum_col->tensor_shape();
vector_sum_col_shape.collapse_from(1);
- ARM_COMPUTE_RETURN_ERROR_ON_MSG(vector_sum_col_shape[1] != 1 && vector_sum_col_shape[1] != vector_sum_row_shape[1],
- "vector_sum_col tensor must have the same number of batches of vector_sum_row_shape or the number of batches must be set to 1");
+ ARM_COMPUTE_RETURN_ERROR_ON_MSG(vector_sum_col_shape[1] != 1 &&
+ vector_sum_col_shape[1] != vector_sum_row_shape[1],
+ "vector_sum_col tensor must have the same number of batches of "
+ "vector_sum_row_shape or the number of batches must be set to 1");
}
}
@@ -842,7 +891,7 @@ Status validate_arguments(const ITensorInfo *mm_result, const ITensorInfo *vecto
ARM_COMPUTE_RETURN_ERROR_ON(vector_sum_row->num_dimensions() > 3);
}
- if(output->total_size() != 0)
+ if (output->total_size() != 0)
{
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(mm_result, output);
@@ -852,15 +901,21 @@ Status validate_arguments(const ITensorInfo *mm_result, const ITensorInfo *vecto
}
} // namespace
-void CpuGemmLowpOffsetContributionOutputStageKernel::configure(const ITensorInfo *mm_result, const ITensorInfo *vector_sum_col,
- const ITensorInfo *vector_sum_row, const ITensorInfo *bias, ITensorInfo *dst,
- int32_t k, int32_t a_offset, int32_t b_offset,
+void CpuGemmLowpOffsetContributionOutputStageKernel::configure(const ITensorInfo *mm_result,
+ const ITensorInfo *vector_sum_col,
+ const ITensorInfo *vector_sum_row,
+ const ITensorInfo *bias,
+ ITensorInfo *dst,
+ int32_t k,
+ int32_t a_offset,
+ int32_t b_offset,
GEMMLowpOutputStageInfo output_stage)
{
ARM_COMPUTE_UNUSED(vector_sum_row, bias);
// Perform validate step
ARM_COMPUTE_ERROR_ON_NULLPTR(mm_result, dst);
- ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(mm_result, vector_sum_col, vector_sum_row, bias, dst, a_offset, b_offset, output_stage));
+ ARM_COMPUTE_ERROR_THROW_ON(
+ validate_arguments(mm_result, vector_sum_col, vector_sum_row, bias, dst, a_offset, b_offset, output_stage));
_a_offset = a_offset;
_b_offset = b_offset;
@@ -868,7 +923,7 @@ void CpuGemmLowpOffsetContributionOutputStageKernel::configure(const ITensorInfo
_output_stage = output_stage;
// If a_offset == 0, vector_sum_col can be a nullptr
- if(a_offset != 0)
+ if (a_offset != 0)
{
// Check if vector_sum_col_shape should be slidden or not
// Don't slide vector_sum_col_shape along the y dimension if vector_sum_col_shape has just 1 dimension and vector_sum_row_shape more than 1
@@ -888,16 +943,24 @@ void CpuGemmLowpOffsetContributionOutputStageKernel::configure(const ITensorInfo
ICpuKernel::configure(win);
}
-Status CpuGemmLowpOffsetContributionOutputStageKernel::validate(const ITensorInfo *mm_result, const ITensorInfo *vector_sum_col,
- const ITensorInfo *vector_sum_row, const ITensorInfo *bias, const ITensorInfo *output,
- int32_t a_offset, int32_t b_offset, GEMMLowpOutputStageInfo output_stage)
+Status CpuGemmLowpOffsetContributionOutputStageKernel::validate(const ITensorInfo *mm_result,
+ const ITensorInfo *vector_sum_col,
+ const ITensorInfo *vector_sum_row,
+ const ITensorInfo *bias,
+ const ITensorInfo *output,
+ int32_t a_offset,
+ int32_t b_offset,
+ GEMMLowpOutputStageInfo output_stage)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(mm_result, output);
- ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(mm_result, vector_sum_col, vector_sum_row, bias, output, a_offset, b_offset, output_stage));
+ ARM_COMPUTE_RETURN_ON_ERROR(
+ validate_arguments(mm_result, vector_sum_col, vector_sum_row, bias, output, a_offset, b_offset, output_stage));
return Status{};
}
-void CpuGemmLowpOffsetContributionOutputStageKernel::run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info)
+void CpuGemmLowpOffsetContributionOutputStageKernel::run_op(ITensorPack &tensors,
+ const Window &window,
+ const ThreadInfo &info)
{
ARM_COMPUTE_UNUSED(info);
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
@@ -912,14 +975,14 @@ void CpuGemmLowpOffsetContributionOutputStageKernel::run_op(ITensorPack &tensors
PixelValue type_min{};
PixelValue type_max{};
std::tie(type_min, type_max) = get_min_max(dst->info()->data_type());
- int32_t type_min_int = type_min.get<int32_t>();
- int32_t type_max_int = type_max.get<int32_t>();
+ int32_t type_min_int = type_min.get<int32_t>();
+ int32_t type_max_int = type_max.get<int32_t>();
- const bool reinterpret_as_3d = vector_sum_row != nullptr
- && mm_result->info()->num_dimensions() > 1
- && mm_result->info()->tensor_shape().y() != vector_sum_row->info()->tensor_shape().x();
+ const bool reinterpret_as_3d = vector_sum_row != nullptr && mm_result->info()->num_dimensions() > 1 &&
+ mm_result->info()->tensor_shape().y() != vector_sum_row->info()->tensor_shape().x();
- const bool is_bounded_relu = !(_output_stage.gemmlowp_min_bound <= type_min_int && _output_stage.gemmlowp_max_bound >= type_max_int);
+ const bool is_bounded_relu =
+ !(_output_stage.gemmlowp_min_bound <= type_min_int && _output_stage.gemmlowp_max_bound >= type_max_int);
// Check if we need to perform fixed point requantization
const bool is_fixed_point = _output_stage.type != GEMMLowpOutputStageType::QUANTIZE_DOWN;
@@ -930,22 +993,25 @@ void CpuGemmLowpOffsetContributionOutputStageKernel::run_op(ITensorPack &tensors
// Check if symmetric per-channel execution
const bool is_symm = _output_stage.is_quantized_per_channel;
- if(is_symm)
+ if (is_symm)
{
- run_offset_contribution_output_stage_symm(window, mm_result, vector_sum_col, vector_sum_row, bias, dst, _a_offset, _b_offset, _k_offset, _is_vector_sum_col_batched, _output_stage,
- reinterpret_as_3d, is_bounded_relu, is_fixed_point);
+ run_offset_contribution_output_stage_symm(window, mm_result, vector_sum_col, vector_sum_row, bias, dst,
+ _a_offset, _b_offset, _k_offset, _is_vector_sum_col_batched,
+ _output_stage, reinterpret_as_3d, is_bounded_relu, is_fixed_point);
}
else
{
- if(is_signed)
+ if (is_signed)
{
- run_offset_contribution_output_stage<int8_t>(window, mm_result, vector_sum_col, vector_sum_row, bias, dst, _a_offset, _b_offset, _k_offset, _is_vector_sum_col_batched, _output_stage,
- reinterpret_as_3d, is_bounded_relu, is_fixed_point);
+ run_offset_contribution_output_stage<int8_t>(
+ window, mm_result, vector_sum_col, vector_sum_row, bias, dst, _a_offset, _b_offset, _k_offset,
+ _is_vector_sum_col_batched, _output_stage, reinterpret_as_3d, is_bounded_relu, is_fixed_point);
}
else
{
- run_offset_contribution_output_stage<uint8_t>(window, mm_result, vector_sum_col, vector_sum_row, bias, dst, _a_offset, _b_offset, _k_offset, _is_vector_sum_col_batched, _output_stage,
- reinterpret_as_3d, is_bounded_relu, is_fixed_point);
+ run_offset_contribution_output_stage<uint8_t>(
+ window, mm_result, vector_sum_col, vector_sum_row, bias, dst, _a_offset, _b_offset, _k_offset,
+ _is_vector_sum_col_batched, _output_stage, reinterpret_as_3d, is_bounded_relu, is_fixed_point);
}
}
}
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-20 00:20:30 +0000