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authorGeorgios Pinitas <georgios.pinitas@arm.com>2018-09-12 16:45:53 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:54:54 +0000
commit20c246a60869bada4051bd14eb9a3862be5330d7 (patch)
tree7ae712b57aa052890588ef18a5c972edf352786d /arm_compute/core/NEON/kernels/detail/NEDirectConvolutionDetail.h
parentac314c25f41e3b2be2ef9073377079584fc88861 (diff)
downloadComputeLibrary-20c246a60869bada4051bd14eb9a3862be5330d7.tar.gz
COMPMID-1532: Add DepthwiseConvolution3x3 FP16 on NEON
Change-Id: I780970f317b979b3230e2b471ac01df7fda9ee14 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/148168 Tested-by: bsgcomp <bsgcomp@arm.com> Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'arm_compute/core/NEON/kernels/detail/NEDirectConvolutionDetail.h')
-rw-r--r--arm_compute/core/NEON/kernels/detail/NEDirectConvolutionDetail.h22
1 files changed, 17 insertions, 5 deletions
diff --git a/arm_compute/core/NEON/kernels/detail/NEDirectConvolutionDetail.h b/arm_compute/core/NEON/kernels/detail/NEDirectConvolutionDetail.h
index b245505ac6..e6dc43a47b 100644
--- a/arm_compute/core/NEON/kernels/detail/NEDirectConvolutionDetail.h
+++ b/arm_compute/core/NEON/kernels/detail/NEDirectConvolutionDetail.h
@@ -374,8 +374,9 @@ inline void store_results<3>(int32_t *buffer, const int32x4x2_t &values)
*
* @return The loaded matrix.
*/
-inline float16x8x3_t load_matrix_row(const float16_t *ptr)
+inline float16x8x3_t load_matrix_row(const float16_t *ptr, int weights_offset = 0)
{
+ ARM_COMPUTE_UNUSED(weights_offset);
/* ptr is a pointer to a row in a 3x3 matrix, the function returns 3 vectors holding exactly the same value in all lanes:
r.val[0] contains the first element, r.val[1] the second element and r.val[2] the third element (in all lanes) */
const float16x8x3_t r =
@@ -400,11 +401,16 @@ inline float16x8x3_t load_matrix_row(const float16_t *ptr)
*
*/
template <unsigned int stridex>
-float16x8x2_t convolve_3x3(const float16_t *in_top, const float16_t *in_mid, const float16_t *in_low, const float16x8x3_t &m0, const float16x8x3_t &m1, const float16x8x3_t &m2);
+float16x8x2_t convolve_3x3(const float16_t *in_top, const float16_t *in_mid, const float16_t *in_low,
+ const float16x8x3_t &m0, const float16x8x3_t &m1, const float16x8x3_t &m2,
+ int input_offset = 0);
template <>
-inline float16x8x2_t convolve_3x3<1>(const float16_t *in_top, const float16_t *in_mid, const float16_t *in_low, const float16x8x3_t &m0, const float16x8x3_t &m1, const float16x8x3_t &m2)
+inline float16x8x2_t convolve_3x3<1>(const float16_t *in_top, const float16_t *in_mid, const float16_t *in_low,
+ const float16x8x3_t &m0, const float16x8x3_t &m1, const float16x8x3_t &m2,
+ int input_offset)
{
+ ARM_COMPUTE_UNUSED(input_offset);
const float16x8x3_t vtop =
{
{
@@ -456,8 +462,11 @@ inline float16x8x2_t convolve_3x3<1>(const float16_t *in_top, const float16_t *i
}
template <>
-inline float16x8x2_t convolve_3x3<2>(const float16_t *in_top, const float16_t *in_mid, const float16_t *in_low, const float16x8x3_t &m0, const float16x8x3_t &m1, const float16x8x3_t &m2)
+inline float16x8x2_t convolve_3x3<2>(const float16_t *in_top, const float16_t *in_mid, const float16_t *in_low,
+ const float16x8x3_t &m0, const float16x8x3_t &m1, const float16x8x3_t &m2,
+ int input_offset)
{
+ ARM_COMPUTE_UNUSED(input_offset);
float16x8x2_t out = convolve_3x3<1>(in_top, in_mid, in_low, m0, m1, m2);
out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[0], 2), out.val[0], 1);
out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[0], 4), out.val[0], 2);
@@ -470,8 +479,11 @@ inline float16x8x2_t convolve_3x3<2>(const float16_t *in_top, const float16_t *i
}
template <>
-inline float16x8x2_t convolve_3x3<3>(const float16_t *in_top, const float16_t *in_mid, const float16_t *in_low, const float16x8x3_t &m0, const float16x8x3_t &m1, const float16x8x3_t &m2)
+inline float16x8x2_t convolve_3x3<3>(const float16_t *in_top, const float16_t *in_mid, const float16_t *in_low,
+ const float16x8x3_t &m0, const float16x8x3_t &m1, const float16x8x3_t &m2,
+ int input_offset)
{
+ ARM_COMPUTE_UNUSED(input_offset);
float16x8x2_t out = convolve_3x3<1>(in_top, in_mid, in_low, m0, m1, m2);
out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[0], 3), out.val[0], 1);
out.val[0] = vsetq_lane_f16(vgetq_lane_f16(out.val[0], 6), out.val[0], 2);