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Diffstat (limited to 'src/cpu/kernels/gemm_matrix_mul/generic/neon/fp16.cpp')
-rw-r--r--src/cpu/kernels/gemm_matrix_mul/generic/neon/fp16.cpp472
1 files changed, 239 insertions, 233 deletions
diff --git a/src/cpu/kernels/gemm_matrix_mul/generic/neon/fp16.cpp b/src/cpu/kernels/gemm_matrix_mul/generic/neon/fp16.cpp
index 8fd79f9287..60fda511e3 100644
--- a/src/cpu/kernels/gemm_matrix_mul/generic/neon/fp16.cpp
+++ b/src/cpu/kernels/gemm_matrix_mul/generic/neon/fp16.cpp
@@ -32,7 +32,8 @@ namespace arm_compute
{
namespace cpu
{
-void vector_matrix_multiply_f16(const ITensor *lhs, const ITensor *rhs, ITensor *dst, const Window &window, const ThreadInfo &info, float alpha)
+void vector_matrix_multiply_f16(
+ const ITensor *lhs, const ITensor *rhs, ITensor *dst, const Window &window, const ThreadInfo &info, float alpha)
{
const auto width_matrix_b = static_cast<int>(dst->info()->dimension(0));
const auto in_b_stride = static_cast<int>(rhs->info()->strides_in_bytes()[1] / rhs->info()->element_size());
@@ -42,7 +43,8 @@ void vector_matrix_multiply_f16(const ITensor *lhs, const ITensor *rhs, ITensor
const int window_start_x = 32 * info.thread_id;
const int window_step_x = 32 * info.num_threads;
const int window_end_x = ceil_to_multiple(width_matrix_b - window_start_x, window_step_x) + window_start_x;
- ARM_COMPUTE_ERROR_ON_MSG((window_end_x - window_start_x) % window_step_x, " (window_end_x - window_start_x) must be multiple of window_step_x");
+ ARM_COMPUTE_ERROR_ON_MSG((window_end_x - window_start_x) % window_step_x,
+ " (window_end_x - window_start_x) must be multiple of window_step_x");
Window win_out(window);
win_out.set(Window::DimX, Window::Dimension(0, 1, 1));
@@ -55,7 +57,7 @@ void vector_matrix_multiply_f16(const ITensor *lhs, const ITensor *rhs, ITensor
Window win_b;
// Don't slice matrix B along the z dimension if matrix B has just 2 dimensions and matrix A more than 2
// This scenario can happen when the the matrix multiplication is used to perform a convolution operation
- if(rhs->info()->num_dimensions() >= 3)
+ if (rhs->info()->num_dimensions() >= 3)
{
win_b = window;
}
@@ -70,169 +72,172 @@ void vector_matrix_multiply_f16(const ITensor *lhs, const ITensor *rhs, ITensor
const float16x8_t alpha_f16 = vdupq_n_f16(alpha);
- execute_window_loop(win_out, [&](const Coordinates &)
- {
- int x = window_start_x;
- // Here we don't check for x lower equal than (window_end_x - window_step_x) because of
- // window_end_x is computed above which may cause out-of-bound writes to the dst.
- for(; x < (window_end_x - window_step_x); x += window_step_x)
+ execute_window_loop(
+ win_out,
+ [&](const Coordinates &)
{
- if(x > width_matrix_b)
+ int x = window_start_x;
+ // Here we don't check for x lower equal than (window_end_x - window_step_x) because of
+ // window_end_x is computed above which may cause out-of-bound writes to the dst.
+ for (; x < (window_end_x - window_step_x); x += window_step_x)
{
- return;
- }
-
- auto matrix_b = reinterpret_cast<const float16_t *>(inb.ptr()) + x;
+ if (x > width_matrix_b)
+ {
+ return;
+ }
- float16x8_t acc0 = vdupq_n_f16(0.f);
- float16x8_t acc1 = vdupq_n_f16(0.f);
- float16x8_t acc2 = vdupq_n_f16(0.f);
- float16x8_t acc3 = vdupq_n_f16(0.f);
+ auto matrix_b = reinterpret_cast<const float16_t *>(inb.ptr()) + x;
- auto vec_a = reinterpret_cast<const float16_t *>(ina.ptr());
- const float16_t *vec_a_end_addr = vec_a + num_elems_vec_a;
- for(; vec_a <= (vec_a_end_addr - 4);)
- {
- const float16x4_t a0l = vld1_f16(vec_a);
-
- float16x8_t b00 = vld1q_f16(matrix_b + 0 + 0 * in_b_stride);
- float16x8_t b01 = vld1q_f16(matrix_b + 8 + 0 * in_b_stride);
- float16x8_t b02 = vld1q_f16(matrix_b + 16 + 0 * in_b_stride);
- float16x8_t b03 = vld1q_f16(matrix_b + 24 + 0 * in_b_stride);
- float16x8_t b10 = vld1q_f16(matrix_b + 0 + 1 * in_b_stride);
- float16x8_t b11 = vld1q_f16(matrix_b + 8 + 1 * in_b_stride);
- float16x8_t b12 = vld1q_f16(matrix_b + 16 + 1 * in_b_stride);
- float16x8_t b13 = vld1q_f16(matrix_b + 24 + 1 * in_b_stride);
-
- acc0 = vaddq_f16(acc0, vmulq_lane_f16(b00, a0l, 0));
- acc1 = vaddq_f16(acc1, vmulq_lane_f16(b01, a0l, 0));
- acc2 = vaddq_f16(acc2, vmulq_lane_f16(b02, a0l, 0));
- acc3 = vaddq_f16(acc3, vmulq_lane_f16(b03, a0l, 0));
- acc0 = vaddq_f16(acc0, vmulq_lane_f16(b10, a0l, 1));
- acc1 = vaddq_f16(acc1, vmulq_lane_f16(b11, a0l, 1));
- acc2 = vaddq_f16(acc2, vmulq_lane_f16(b12, a0l, 1));
- acc3 = vaddq_f16(acc3, vmulq_lane_f16(b13, a0l, 1));
-
- matrix_b += 2 * in_b_stride;
-
- b00 = vld1q_f16(matrix_b + 0 + 0 * in_b_stride);
- b01 = vld1q_f16(matrix_b + 8 + 0 * in_b_stride);
- b02 = vld1q_f16(matrix_b + 16 + 0 * in_b_stride);
- b03 = vld1q_f16(matrix_b + 24 + 0 * in_b_stride);
- b10 = vld1q_f16(matrix_b + 0 + 1 * in_b_stride);
- b11 = vld1q_f16(matrix_b + 8 + 1 * in_b_stride);
- b12 = vld1q_f16(matrix_b + 16 + 1 * in_b_stride);
- b13 = vld1q_f16(matrix_b + 24 + 1 * in_b_stride);
-
- acc0 = vaddq_f16(acc0, vmulq_lane_f16(b00, a0l, 2));
- acc1 = vaddq_f16(acc1, vmulq_lane_f16(b01, a0l, 2));
- acc2 = vaddq_f16(acc2, vmulq_lane_f16(b02, a0l, 2));
- acc3 = vaddq_f16(acc3, vmulq_lane_f16(b03, a0l, 2));
- acc0 = vaddq_f16(acc0, vmulq_lane_f16(b10, a0l, 3));
- acc1 = vaddq_f16(acc1, vmulq_lane_f16(b11, a0l, 3));
- acc2 = vaddq_f16(acc2, vmulq_lane_f16(b12, a0l, 3));
- acc3 = vaddq_f16(acc3, vmulq_lane_f16(b13, a0l, 3));
-
- vec_a += 4;
- matrix_b += 2 * in_b_stride;
- }
+ float16x8_t acc0 = vdupq_n_f16(0.f);
+ float16x8_t acc1 = vdupq_n_f16(0.f);
+ float16x8_t acc2 = vdupq_n_f16(0.f);
+ float16x8_t acc3 = vdupq_n_f16(0.f);
- for(; vec_a < vec_a_end_addr; ++vec_a)
- {
- const float16_t a0 = *vec_a;
- const float16x8_t b00 = vld1q_f16(matrix_b + 0 + 0 * in_b_stride);
- const float16x8_t b01 = vld1q_f16(matrix_b + 8 + 0 * in_b_stride);
- const float16x8_t b02 = vld1q_f16(matrix_b + 16 + 0 * in_b_stride);
- const float16x8_t b03 = vld1q_f16(matrix_b + 24 + 0 * in_b_stride);
-
- acc0 = vaddq_f16(acc0, vmulq_n_f16(b00, a0));
- acc1 = vaddq_f16(acc1, vmulq_n_f16(b01, a0));
- acc2 = vaddq_f16(acc2, vmulq_n_f16(b02, a0));
- acc3 = vaddq_f16(acc3, vmulq_n_f16(b03, a0));
-
- matrix_b += in_b_stride;
- }
+ auto vec_a = reinterpret_cast<const float16_t *>(ina.ptr());
+ const float16_t *vec_a_end_addr = vec_a + num_elems_vec_a;
+ for (; vec_a <= (vec_a_end_addr - 4);)
+ {
+ const float16x4_t a0l = vld1_f16(vec_a);
+
+ float16x8_t b00 = vld1q_f16(matrix_b + 0 + 0 * in_b_stride);
+ float16x8_t b01 = vld1q_f16(matrix_b + 8 + 0 * in_b_stride);
+ float16x8_t b02 = vld1q_f16(matrix_b + 16 + 0 * in_b_stride);
+ float16x8_t b03 = vld1q_f16(matrix_b + 24 + 0 * in_b_stride);
+ float16x8_t b10 = vld1q_f16(matrix_b + 0 + 1 * in_b_stride);
+ float16x8_t b11 = vld1q_f16(matrix_b + 8 + 1 * in_b_stride);
+ float16x8_t b12 = vld1q_f16(matrix_b + 16 + 1 * in_b_stride);
+ float16x8_t b13 = vld1q_f16(matrix_b + 24 + 1 * in_b_stride);
+
+ acc0 = vaddq_f16(acc0, vmulq_lane_f16(b00, a0l, 0));
+ acc1 = vaddq_f16(acc1, vmulq_lane_f16(b01, a0l, 0));
+ acc2 = vaddq_f16(acc2, vmulq_lane_f16(b02, a0l, 0));
+ acc3 = vaddq_f16(acc3, vmulq_lane_f16(b03, a0l, 0));
+ acc0 = vaddq_f16(acc0, vmulq_lane_f16(b10, a0l, 1));
+ acc1 = vaddq_f16(acc1, vmulq_lane_f16(b11, a0l, 1));
+ acc2 = vaddq_f16(acc2, vmulq_lane_f16(b12, a0l, 1));
+ acc3 = vaddq_f16(acc3, vmulq_lane_f16(b13, a0l, 1));
+
+ matrix_b += 2 * in_b_stride;
+
+ b00 = vld1q_f16(matrix_b + 0 + 0 * in_b_stride);
+ b01 = vld1q_f16(matrix_b + 8 + 0 * in_b_stride);
+ b02 = vld1q_f16(matrix_b + 16 + 0 * in_b_stride);
+ b03 = vld1q_f16(matrix_b + 24 + 0 * in_b_stride);
+ b10 = vld1q_f16(matrix_b + 0 + 1 * in_b_stride);
+ b11 = vld1q_f16(matrix_b + 8 + 1 * in_b_stride);
+ b12 = vld1q_f16(matrix_b + 16 + 1 * in_b_stride);
+ b13 = vld1q_f16(matrix_b + 24 + 1 * in_b_stride);
+
+ acc0 = vaddq_f16(acc0, vmulq_lane_f16(b00, a0l, 2));
+ acc1 = vaddq_f16(acc1, vmulq_lane_f16(b01, a0l, 2));
+ acc2 = vaddq_f16(acc2, vmulq_lane_f16(b02, a0l, 2));
+ acc3 = vaddq_f16(acc3, vmulq_lane_f16(b03, a0l, 2));
+ acc0 = vaddq_f16(acc0, vmulq_lane_f16(b10, a0l, 3));
+ acc1 = vaddq_f16(acc1, vmulq_lane_f16(b11, a0l, 3));
+ acc2 = vaddq_f16(acc2, vmulq_lane_f16(b12, a0l, 3));
+ acc3 = vaddq_f16(acc3, vmulq_lane_f16(b13, a0l, 3));
+
+ vec_a += 4;
+ matrix_b += 2 * in_b_stride;
+ }
- // Multiply by the weight of matrix product (alpha)
- if(multiply_alpha)
- {
- acc0 = vmulq_f16(acc0, alpha_f16);
- acc1 = vmulq_f16(acc1, alpha_f16);
- acc2 = vmulq_f16(acc2, alpha_f16);
- acc3 = vmulq_f16(acc3, alpha_f16);
- }
+ for (; vec_a < vec_a_end_addr; ++vec_a)
+ {
+ const float16_t a0 = *vec_a;
+ const float16x8_t b00 = vld1q_f16(matrix_b + 0 + 0 * in_b_stride);
+ const float16x8_t b01 = vld1q_f16(matrix_b + 8 + 0 * in_b_stride);
+ const float16x8_t b02 = vld1q_f16(matrix_b + 16 + 0 * in_b_stride);
+ const float16x8_t b03 = vld1q_f16(matrix_b + 24 + 0 * in_b_stride);
+
+ acc0 = vaddq_f16(acc0, vmulq_n_f16(b00, a0));
+ acc1 = vaddq_f16(acc1, vmulq_n_f16(b01, a0));
+ acc2 = vaddq_f16(acc2, vmulq_n_f16(b02, a0));
+ acc3 = vaddq_f16(acc3, vmulq_n_f16(b03, a0));
+
+ matrix_b += in_b_stride;
+ }
- auto vec_out = reinterpret_cast<float16_t *>(out.ptr()) + x;
+ // Multiply by the weight of matrix product (alpha)
+ if (multiply_alpha)
+ {
+ acc0 = vmulq_f16(acc0, alpha_f16);
+ acc1 = vmulq_f16(acc1, alpha_f16);
+ acc2 = vmulq_f16(acc2, alpha_f16);
+ acc3 = vmulq_f16(acc3, alpha_f16);
+ }
- vst1q_f16(vec_out + 0, acc0);
- vst1q_f16(vec_out + 8, acc1);
- vst1q_f16(vec_out + 16, acc2);
- vst1q_f16(vec_out + 24, acc3);
- }
+ auto vec_out = reinterpret_cast<float16_t *>(out.ptr()) + x;
- for(; x < window_end_x; ++x)
- {
- if(x > width_matrix_b)
- {
- return;
+ vst1q_f16(vec_out + 0, acc0);
+ vst1q_f16(vec_out + 8, acc1);
+ vst1q_f16(vec_out + 16, acc2);
+ vst1q_f16(vec_out + 24, acc3);
}
- auto matrix_b = reinterpret_cast<const float16_t *>(inb.ptr()) + x;
+ for (; x < window_end_x; ++x)
+ {
+ if (x > width_matrix_b)
+ {
+ return;
+ }
- float16x4_t vacc = vdup_n_f16(0.f);
+ auto matrix_b = reinterpret_cast<const float16_t *>(inb.ptr()) + x;
- auto vec_a = reinterpret_cast<const float16_t *>(ina.ptr());
- const float16_t *vec_a_end_addr = vec_a + num_elems_vec_a;
- for(; vec_a <= (vec_a_end_addr - 4); vec_a += 4)
- {
- const float16x4_t a0l = vld1_f16(vec_a);
+ float16x4_t vacc = vdup_n_f16(0.f);
- const float16x4_t b_col =
+ auto vec_a = reinterpret_cast<const float16_t *>(ina.ptr());
+ const float16_t *vec_a_end_addr = vec_a + num_elems_vec_a;
+ for (; vec_a <= (vec_a_end_addr - 4); vec_a += 4)
{
- *(matrix_b + 0 * in_b_stride),
- *(matrix_b + 1 * in_b_stride),
- *(matrix_b + 2 * in_b_stride),
- *(matrix_b + 3 * in_b_stride),
- };
+ const float16x4_t a0l = vld1_f16(vec_a);
- vacc = vadd_f16(vacc, vmul_f16(a0l, b_col));
+ const float16x4_t b_col = {
+ *(matrix_b + 0 * in_b_stride),
+ *(matrix_b + 1 * in_b_stride),
+ *(matrix_b + 2 * in_b_stride),
+ *(matrix_b + 3 * in_b_stride),
+ };
- matrix_b += 4 * in_b_stride;
- }
+ vacc = vadd_f16(vacc, vmul_f16(a0l, b_col));
- float16_t acc = vget_lane_f16(vacc, 0) + vget_lane_f16(vacc, 1) + vget_lane_f16(vacc, 2) + vget_lane_f16(vacc, 3);
+ matrix_b += 4 * in_b_stride;
+ }
- for(; vec_a < vec_a_end_addr; ++vec_a)
- {
- const float16_t a0 = *vec_a;
- const float16_t b00 = *matrix_b;
+ float16_t acc =
+ vget_lane_f16(vacc, 0) + vget_lane_f16(vacc, 1) + vget_lane_f16(vacc, 2) + vget_lane_f16(vacc, 3);
- acc += b00 * a0;
+ for (; vec_a < vec_a_end_addr; ++vec_a)
+ {
+ const float16_t a0 = *vec_a;
+ const float16_t b00 = *matrix_b;
- matrix_b += in_b_stride;
- }
+ acc += b00 * a0;
- // Multiply by the weight of matrix product (alpha)
- if(multiply_alpha)
- {
- acc *= static_cast<float16_t>(alpha);
- }
+ matrix_b += in_b_stride;
+ }
- auto vec_out = reinterpret_cast<float16_t *>(out.ptr()) + x;
+ // Multiply by the weight of matrix product (alpha)
+ if (multiply_alpha)
+ {
+ acc *= static_cast<float16_t>(alpha);
+ }
- *(vec_out) = acc;
- }
- },
- ina, inb, out);
+ auto vec_out = reinterpret_cast<float16_t *>(out.ptr()) + x;
+
+ *(vec_out) = acc;
+ }
+ },
+ ina, inb, out);
}
-void matrix_matrix_multiply_f16(const ITensor *lhs, const ITensor *rhs, ITensor *dst, const Window &window, const ThreadInfo &info, float alpha)
+void matrix_matrix_multiply_f16(
+ const ITensor *lhs, const ITensor *rhs, ITensor *dst, const Window &window, const ThreadInfo &info, float alpha)
{
ARM_COMPUTE_UNUSED(info);
- const int out_width = static_cast<int>(dst->info()->dimension(0));
- const int out_height = static_cast<int>(dst->info()->dimension(1));
- const size_t in_b_stride = rhs->info()->strides_in_bytes()[1] / data_size_from_type(rhs->info()->data_type());
- const size_t out_stride = dst->info()->strides_in_bytes()[1] / data_size_from_type(dst->info()->data_type());
+ const int out_width = static_cast<int>(dst->info()->dimension(0));
+ const int out_height = static_cast<int>(dst->info()->dimension(1));
+ const size_t in_b_stride = rhs->info()->strides_in_bytes()[1] / data_size_from_type(rhs->info()->data_type());
+ const size_t out_stride = dst->info()->strides_in_bytes()[1] / data_size_from_type(dst->info()->data_type());
const int num_elems_matrix_b_x = rhs->info()->dimension(0);
// Set step_x and step_y for matrix A. Scale by a factor of 4 the Y range as the input interleaved matrix A has 4 times less the rows of the dst matrix
@@ -243,7 +248,7 @@ void matrix_matrix_multiply_f16(const ITensor *lhs, const ITensor *rhs, ITensor
Window win_b;
// Don't slice matrix B along the z dimension if matrix B has just 2 dimensions and matrix A more than 2
// This scenario can happen when the the matrix multiplication is used to perform a convolution operation
- if(rhs->info()->num_dimensions() >= 3)
+ if (rhs->info()->num_dimensions() >= 3)
{
win_b = window;
}
@@ -259,22 +264,16 @@ void matrix_matrix_multiply_f16(const ITensor *lhs, const ITensor *rhs, ITensor
const float16x8_t alpha_f16 = vdupq_n_f16(alpha);
- execute_window_loop(window, [&](const Coordinates & id)
- {
- const auto *mtx_a0 = reinterpret_cast<const float16_t *>(ina.ptr());
- const auto *mtx_b0 = reinterpret_cast<const float16_t *>(inb.ptr());
- auto *mtx_out = reinterpret_cast<float16_t *>(out.ptr());
- float16x8x4_t c =
+ execute_window_loop(
+ window,
+ [&](const Coordinates &id)
{
- {
- vdupq_n_f16(0.f),
- vdupq_n_f16(0.f),
- vdupq_n_f16(0.f),
- vdupq_n_f16(0.f)
- }
- };
+ const auto *mtx_a0 = reinterpret_cast<const float16_t *>(ina.ptr());
+ const auto *mtx_b0 = reinterpret_cast<const float16_t *>(inb.ptr());
+ auto *mtx_out = reinterpret_cast<float16_t *>(out.ptr());
+ float16x8x4_t c = {{vdupq_n_f16(0.f), vdupq_n_f16(0.f), vdupq_n_f16(0.f), vdupq_n_f16(0.f)}};
- /*
+ /*
This kernel puts the values in a 4x4 block of Matrix A on the same row (Interleaved values)
|a00 a01 a02 a03 | a04 a05 a06 a07|
|a10 a11 a12 a13 | a14 a15 a16 a17|
@@ -302,111 +301,118 @@ void matrix_matrix_multiply_f16(const ITensor *lhs, const ITensor *rhs, ITensor
The size of the dst tensor's XY-plane must be the following shape [ width * 8, height / 8 ]. All other dimensions must have the same size.
*/
- const float16_t *mtx_b0_end_addr = mtx_b0 + num_elems_matrix_b_x;
-
- for(; mtx_b0 <= (mtx_b0_end_addr - 32);)
-
- {
- const float16x8_t p00 = vld1q_f16(mtx_a0);
- const float16x8_t p02 = vld1q_f16(mtx_a0 + 8);
-
- const float16x8_t q00 = vld1q_f16(mtx_b0);
- const float16x8_t q02 = vld1q_f16(mtx_b0 + 8);
- const float16x8_t q04 = vld1q_f16(mtx_b0 + 16);
- const float16x8_t q06 = vld1q_f16(mtx_b0 + 24);
-
- c.val[0] = vaddq_f16(c.val[0], vmulq_n_f16(q00, vgetq_lane_f16(p00, 0)));
- c.val[1] = vaddq_f16(c.val[1], vmulq_n_f16(q00, vgetq_lane_f16(p00, 1)));
- c.val[2] = vaddq_f16(c.val[2], vmulq_n_f16(q00, vgetq_lane_f16(p00, 2)));
- c.val[3] = vaddq_f16(c.val[3], vmulq_n_f16(q00, vgetq_lane_f16(p00, 3)));
+ const float16_t *mtx_b0_end_addr = mtx_b0 + num_elems_matrix_b_x;
- c.val[0] = vaddq_f16(c.val[0], vmulq_n_f16(q02, vgetq_lane_f16(p00, 4)));
- c.val[1] = vaddq_f16(c.val[1], vmulq_n_f16(q02, vgetq_lane_f16(p00, 5)));
- c.val[2] = vaddq_f16(c.val[2], vmulq_n_f16(q02, vgetq_lane_f16(p00, 6)));
- c.val[3] = vaddq_f16(c.val[3], vmulq_n_f16(q02, vgetq_lane_f16(p00, 7)));
+ for (; mtx_b0 <= (mtx_b0_end_addr - 32);)
- c.val[0] = vaddq_f16(c.val[0], vmulq_n_f16(q04, vgetq_lane_f16(p02, 0)));
- c.val[1] = vaddq_f16(c.val[1], vmulq_n_f16(q04, vgetq_lane_f16(p02, 1)));
- c.val[2] = vaddq_f16(c.val[2], vmulq_n_f16(q04, vgetq_lane_f16(p02, 2)));
- c.val[3] = vaddq_f16(c.val[3], vmulq_n_f16(q04, vgetq_lane_f16(p02, 3)));
-
- c.val[0] = vaddq_f16(c.val[0], vmulq_n_f16(q06, vgetq_lane_f16(p02, 4)));
- c.val[1] = vaddq_f16(c.val[1], vmulq_n_f16(q06, vgetq_lane_f16(p02, 5)));
- c.val[2] = vaddq_f16(c.val[2], vmulq_n_f16(q06, vgetq_lane_f16(p02, 6)));
- c.val[3] = vaddq_f16(c.val[3], vmulq_n_f16(q06, vgetq_lane_f16(p02, 7)));
-
- mtx_a0 += 16;
- mtx_b0 += 32;
- }
+ {
+ const float16x8_t p00 = vld1q_f16(mtx_a0);
+ const float16x8_t p02 = vld1q_f16(mtx_a0 + 8);
+
+ const float16x8_t q00 = vld1q_f16(mtx_b0);
+ const float16x8_t q02 = vld1q_f16(mtx_b0 + 8);
+ const float16x8_t q04 = vld1q_f16(mtx_b0 + 16);
+ const float16x8_t q06 = vld1q_f16(mtx_b0 + 24);
+
+ c.val[0] = vaddq_f16(c.val[0], vmulq_n_f16(q00, vgetq_lane_f16(p00, 0)));
+ c.val[1] = vaddq_f16(c.val[1], vmulq_n_f16(q00, vgetq_lane_f16(p00, 1)));
+ c.val[2] = vaddq_f16(c.val[2], vmulq_n_f16(q00, vgetq_lane_f16(p00, 2)));
+ c.val[3] = vaddq_f16(c.val[3], vmulq_n_f16(q00, vgetq_lane_f16(p00, 3)));
+
+ c.val[0] = vaddq_f16(c.val[0], vmulq_n_f16(q02, vgetq_lane_f16(p00, 4)));
+ c.val[1] = vaddq_f16(c.val[1], vmulq_n_f16(q02, vgetq_lane_f16(p00, 5)));
+ c.val[2] = vaddq_f16(c.val[2], vmulq_n_f16(q02, vgetq_lane_f16(p00, 6)));
+ c.val[3] = vaddq_f16(c.val[3], vmulq_n_f16(q02, vgetq_lane_f16(p00, 7)));
+
+ c.val[0] = vaddq_f16(c.val[0], vmulq_n_f16(q04, vgetq_lane_f16(p02, 0)));
+ c.val[1] = vaddq_f16(c.val[1], vmulq_n_f16(q04, vgetq_lane_f16(p02, 1)));
+ c.val[2] = vaddq_f16(c.val[2], vmulq_n_f16(q04, vgetq_lane_f16(p02, 2)));
+ c.val[3] = vaddq_f16(c.val[3], vmulq_n_f16(q04, vgetq_lane_f16(p02, 3)));
+
+ c.val[0] = vaddq_f16(c.val[0], vmulq_n_f16(q06, vgetq_lane_f16(p02, 4)));
+ c.val[1] = vaddq_f16(c.val[1], vmulq_n_f16(q06, vgetq_lane_f16(p02, 5)));
+ c.val[2] = vaddq_f16(c.val[2], vmulq_n_f16(q06, vgetq_lane_f16(p02, 6)));
+ c.val[3] = vaddq_f16(c.val[3], vmulq_n_f16(q06, vgetq_lane_f16(p02, 7)));
+
+ mtx_a0 += 16;
+ mtx_b0 += 32;
+ }
- for(; mtx_b0 < mtx_b0_end_addr;)
+ for (; mtx_b0 < mtx_b0_end_addr;)
- {
- const float16x4_t p00 = vld1_f16(mtx_a0);
- const float16x8_t q00 = vld1q_f16(mtx_b0);
+ {
+ const float16x4_t p00 = vld1_f16(mtx_a0);
+ const float16x8_t q00 = vld1q_f16(mtx_b0);
- c.val[0] = vaddq_f16(c.val[0], vmulq_n_f16(q00, vget_lane_f16(p00, 0)));
- c.val[1] = vaddq_f16(c.val[1], vmulq_n_f16(q00, vget_lane_f16(p00, 1)));
- c.val[2] = vaddq_f16(c.val[2], vmulq_n_f16(q00, vget_lane_f16(p00, 2)));
- c.val[3] = vaddq_f16(c.val[3], vmulq_n_f16(q00, vget_lane_f16(p00, 3)));
+ c.val[0] = vaddq_f16(c.val[0], vmulq_n_f16(q00, vget_lane_f16(p00, 0)));
+ c.val[1] = vaddq_f16(c.val[1], vmulq_n_f16(q00, vget_lane_f16(p00, 1)));
+ c.val[2] = vaddq_f16(c.val[2], vmulq_n_f16(q00, vget_lane_f16(p00, 2)));
+ c.val[3] = vaddq_f16(c.val[3], vmulq_n_f16(q00, vget_lane_f16(p00, 3)));
- mtx_a0 += 4;
- mtx_b0 += 8;
- }
+ mtx_a0 += 4;
+ mtx_b0 += 8;
+ }
- if(multiply_alpha)
- {
- c.val[0] = vmulq_f16(c.val[0], alpha_f16);
- c.val[1] = vmulq_f16(c.val[1], alpha_f16);
- c.val[2] = vmulq_f16(c.val[2], alpha_f16);
- c.val[3] = vmulq_f16(c.val[3], alpha_f16);
- }
+ if (multiply_alpha)
+ {
+ c.val[0] = vmulq_f16(c.val[0], alpha_f16);
+ c.val[1] = vmulq_f16(c.val[1], alpha_f16);
+ c.val[2] = vmulq_f16(c.val[2], alpha_f16);
+ c.val[3] = vmulq_f16(c.val[3], alpha_f16);
+ }
- if(id.x() < (out_width - 8))
- {
- vst1q_f16(mtx_out, c.val[0]);
- if(id.y() + 1 < out_height)
+ if (id.x() < (out_width - 8))
{
- vst1q_f16(mtx_out + 1 * out_stride, c.val[1]);
- if(id.y() + 2 < out_height)
+ vst1q_f16(mtx_out, c.val[0]);
+ if (id.y() + 1 < out_height)
{
- vst1q_f16(mtx_out + 2 * out_stride, c.val[2]);
- if(id.y() + 3 < out_height)
+ vst1q_f16(mtx_out + 1 * out_stride, c.val[1]);
+ if (id.y() + 2 < out_height)
{
- vst1q_f16(mtx_out + 3 * out_stride, c.val[3]);
+ vst1q_f16(mtx_out + 2 * out_stride, c.val[2]);
+ if (id.y() + 3 < out_height)
+ {
+ vst1q_f16(mtx_out + 3 * out_stride, c.val[3]);
+ }
}
}
}
- }
- else
- {
- // Left-over columns
- const int columns_left = out_width - id.x();
- for(int x = 0; x < columns_left; ++x)
+ else
{
- *(mtx_out + x) = c.val[0][x];
- if(id.y() + 1 < out_height)
+ // Left-over columns
+ const int columns_left = out_width - id.x();
+ for (int x = 0; x < columns_left; ++x)
{
- *(mtx_out + x + 1 * out_stride) = c.val[1][x];
- if(id.y() + 2 < out_height)
+ *(mtx_out + x) = c.val[0][x];
+ if (id.y() + 1 < out_height)
{
- *(mtx_out + x + 2 * out_stride) = c.val[2][x];
- if(id.y() + 3 < out_height)
+ *(mtx_out + x + 1 * out_stride) = c.val[1][x];
+ if (id.y() + 2 < out_height)
{
- *(mtx_out + x + 3 * out_stride) = c.val[3][x];
+ *(mtx_out + x + 2 * out_stride) = c.val[2][x];
+ if (id.y() + 3 < out_height)
+ {
+ *(mtx_out + x + 3 * out_stride) = c.val[3][x];
+ }
}
}
}
}
- }
- },
- ina, inb, out);
+ },
+ ina, inb, out);
}
-void neon_fp16_gemm_matrix_mul(const ITensor *lhs, const ITensor *rhs, ITensor *dst, const Window &window, const ThreadInfo &info, float alpha, const bool is_dst_vector)
+void neon_fp16_gemm_matrix_mul(const ITensor *lhs,
+ const ITensor *rhs,
+ ITensor *dst,
+ const Window &window,
+ const ThreadInfo &info,
+ float alpha,
+ const bool is_dst_vector)
{
- return (is_dst_vector) ? vector_matrix_multiply_f16(lhs, rhs, dst, window, info, alpha) : matrix_matrix_multiply_f16(lhs, rhs, dst, window, info, alpha);
+ return (is_dst_vector) ? vector_matrix_multiply_f16(lhs, rhs, dst, window, info, alpha)
+ : matrix_matrix_multiply_f16(lhs, rhs, dst, window, info, alpha);
}
-} // namespce cpu
+} // namespace cpu
} // namespace arm_compute
#endif //__ARM_FEATURE_FP16_VECTOR_ARITHMETIC
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-19 21:43:46 +0000