| | |
| | |
| | |
| | |
| | |
| | |
| | |
| | |
| | |
| | |
| | |
| | |
| | |
| |
|
| | static void convolution1d_transform_kernel_packed_bf16s(const Mat& kernel, Mat& kernel_tm, int inh, int outh, int kernel_w) |
| | { |
| | |
| | |
| |
|
| | |
| | |
| | #if __ARM_NEON |
| | #if __aarch64__ |
| | if (outh >= 8) |
| | { |
| | if (inh >= 8) |
| | kernel_tm.create(8 * 8 * kernel_w, inh / 8 + (inh % 8) / 4 + (inh % 4) / 2 + inh % 2, outh / 8 + (outh % 8) / 4 + (outh % 4) / 2 + outh % 2, (size_t)2u); |
| | else if (inh >= 4) |
| | kernel_tm.create(8 * 4 * kernel_w, inh / 4 + (inh % 4) / 2 + inh % 2, outh / 8 + (outh % 8) / 4 + (outh % 4) / 2 + outh % 2, (size_t)2u); |
| | else if (inh >= 2) |
| | kernel_tm.create(8 * 2 * kernel_w, inh / 2 + inh % 2, outh / 8 + (outh % 8) / 4 + (outh % 4) / 2 + outh % 2, (size_t)2u); |
| | else |
| | kernel_tm.create(8 * kernel_w, inh, outh / 8 + (outh % 8) / 4 + (outh % 4) / 2 + outh % 2, (size_t)2u); |
| | } |
| | else |
| | #endif |
| | if (outh >= 4) |
| | { |
| | #if __aarch64__ |
| | if (inh >= 8) |
| | kernel_tm.create(4 * 8 * kernel_w, inh / 8 + (inh % 8) / 4 + (inh % 4) / 2 + inh % 2, outh / 4 + (outh % 4) / 2 + outh % 2, (size_t)2u); |
| | else |
| | #endif |
| | if (inh >= 4) |
| | kernel_tm.create(4 * 4 * kernel_w, inh / 4 + (inh % 4) / 2 + inh % 2, outh / 4 + (outh % 4) / 2 + outh % 2, (size_t)2u); |
| | else if (inh >= 2) |
| | kernel_tm.create(4 * 2 * kernel_w, inh / 2 + inh % 2, outh / 4 + (outh % 4) / 2 + outh % 2, (size_t)2u); |
| | else |
| | kernel_tm.create(4 * kernel_w, inh, outh / 4 + (outh % 4) / 2 + outh % 2, (size_t)2u); |
| | } |
| | else |
| | #endif |
| | if (outh >= 2) |
| | { |
| | #if __ARM_NEON |
| | #if __aarch64__ |
| | if (inh >= 8) |
| | kernel_tm.create(2 * 8 * kernel_w, inh / 8 + (inh % 8) / 4 + (inh % 4) / 2 + inh % 2, outh / 2 + outh % 2, (size_t)2u); |
| | else |
| | #endif |
| | if (inh >= 4) |
| | kernel_tm.create(2 * 4 * kernel_w, inh / 4 + (inh % 4) / 2 + inh % 2, outh / 2 + outh % 2, (size_t)2u); |
| | else |
| | #endif |
| | if (inh >= 2) |
| | kernel_tm.create(2 * 2 * kernel_w, inh / 2 + inh % 2, outh / 2 + outh % 2, (size_t)2u); |
| | else |
| | kernel_tm.create(2 * kernel_w, inh, outh / 2 + outh % 2, (size_t)2u); |
| | } |
| | else |
| | { |
| | #if __ARM_NEON |
| | #if __aarch64__ |
| | if (inh >= 8) |
| | kernel_tm.create(8 * kernel_w, inh / 8 + (inh % 8) / 4 + (inh % 4) / 2 + inh % 2, outh, (size_t)2u); |
| | else |
| | #endif |
| | if (inh >= 4) |
| | kernel_tm.create(4 * kernel_w, inh / 4 + (inh % 4) / 2 + inh % 2, outh, (size_t)2u); |
| | else |
| | #endif |
| | if (inh >= 2) |
| | kernel_tm.create(2 * kernel_w, inh / 2 + inh % 2, outh, (size_t)2u); |
| | else |
| | kernel_tm.create(kernel_w, inh, outh, (size_t)2u); |
| | } |
| | |
| | |
| |
|
| | int q = 0; |
| | #if __ARM_NEON |
| | #if __aarch64__ |
| | for (; q + 7 < outh; q += 8) |
| | { |
| | const float* kptr0 = (const float*)kernel + q * inh * kernel_w; |
| | const float* kptr1 = (const float*)kernel + (q + 1) * inh * kernel_w; |
| | const float* kptr2 = (const float*)kernel + (q + 2) * inh * kernel_w; |
| | const float* kptr3 = (const float*)kernel + (q + 3) * inh * kernel_w; |
| | const float* kptr4 = (const float*)kernel + (q + 4) * inh * kernel_w; |
| | const float* kptr5 = (const float*)kernel + (q + 5) * inh * kernel_w; |
| | const float* kptr6 = (const float*)kernel + (q + 6) * inh * kernel_w; |
| | const float* kptr7 = (const float*)kernel + (q + 7) * inh * kernel_w; |
| |
|
| | unsigned short* g00 = kernel_tm.channel(q / 8); |
| |
|
| | int p = 0; |
| | for (; p + 7 < inh; p += 8) |
| | { |
| | for (int k = 0; k < kernel_w; k++) |
| | { |
| | const float* k0 = kptr0 + p * kernel_w; |
| | const float* k1 = kptr1 + p * kernel_w; |
| | const float* k2 = kptr2 + p * kernel_w; |
| | const float* k3 = kptr3 + p * kernel_w; |
| | const float* k4 = kptr4 + p * kernel_w; |
| | const float* k5 = kptr5 + p * kernel_w; |
| | const float* k6 = kptr6 + p * kernel_w; |
| | const float* k7 = kptr7 + p * kernel_w; |
| |
|
| | for (int i = 0; i < 8; i++) |
| | { |
| | g00[0] = float32_to_bfloat16(k0[k]); |
| | g00[1] = float32_to_bfloat16(k1[k]); |
| | g00[2] = float32_to_bfloat16(k2[k]); |
| | g00[3] = float32_to_bfloat16(k3[k]); |
| | g00[4] = float32_to_bfloat16(k4[k]); |
| | g00[5] = float32_to_bfloat16(k5[k]); |
| | g00[6] = float32_to_bfloat16(k6[k]); |
| | g00[7] = float32_to_bfloat16(k7[k]); |
| | k0 += kernel_w; |
| | k1 += kernel_w; |
| | k2 += kernel_w; |
| | k3 += kernel_w; |
| | k4 += kernel_w; |
| | k5 += kernel_w; |
| | k6 += kernel_w; |
| | k7 += kernel_w; |
| | g00 += 8; |
| | } |
| | } |
| | } |
| | for (; p + 3 < inh; p += 4) |
| | { |
| | for (int k = 0; k < kernel_w; k++) |
| | { |
| | const float* k0 = kptr0 + p * kernel_w; |
| | const float* k1 = kptr1 + p * kernel_w; |
| | const float* k2 = kptr2 + p * kernel_w; |
| | const float* k3 = kptr3 + p * kernel_w; |
| | const float* k4 = kptr4 + p * kernel_w; |
| | const float* k5 = kptr5 + p * kernel_w; |
| | const float* k6 = kptr6 + p * kernel_w; |
| | const float* k7 = kptr7 + p * kernel_w; |
| |
|
| | for (int i = 0; i < 4; i++) |
| | { |
| | g00[0] = float32_to_bfloat16(k0[k]); |
| | g00[1] = float32_to_bfloat16(k1[k]); |
| | g00[2] = float32_to_bfloat16(k2[k]); |
| | g00[3] = float32_to_bfloat16(k3[k]); |
| | g00[4] = float32_to_bfloat16(k4[k]); |
| | g00[5] = float32_to_bfloat16(k5[k]); |
| | g00[6] = float32_to_bfloat16(k6[k]); |
| | g00[7] = float32_to_bfloat16(k7[k]); |
| | k0 += kernel_w; |
| | k1 += kernel_w; |
| | k2 += kernel_w; |
| | k3 += kernel_w; |
| | k4 += kernel_w; |
| | k5 += kernel_w; |
| | k6 += kernel_w; |
| | k7 += kernel_w; |
| | g00 += 8; |
| | } |
| | } |
| | } |
| | for (; p + 1 < inh; p += 2) |
| | { |
| | for (int k = 0; k < kernel_w; k++) |
| | { |
| | const float* k0 = kptr0 + p * kernel_w; |
| | const float* k1 = kptr1 + p * kernel_w; |
| | const float* k2 = kptr2 + p * kernel_w; |
| | const float* k3 = kptr3 + p * kernel_w; |
| | const float* k4 = kptr4 + p * kernel_w; |
| | const float* k5 = kptr5 + p * kernel_w; |
| | const float* k6 = kptr6 + p * kernel_w; |
| | const float* k7 = kptr7 + p * kernel_w; |
| |
|
| | for (int i = 0; i < 2; i++) |
| | { |
| | g00[0] = float32_to_bfloat16(k0[k]); |
| | g00[1] = float32_to_bfloat16(k1[k]); |
| | g00[2] = float32_to_bfloat16(k2[k]); |
| | g00[3] = float32_to_bfloat16(k3[k]); |
| | g00[4] = float32_to_bfloat16(k4[k]); |
| | g00[5] = float32_to_bfloat16(k5[k]); |
| | g00[6] = float32_to_bfloat16(k6[k]); |
| | g00[7] = float32_to_bfloat16(k7[k]); |
| | k0 += kernel_w; |
| | k1 += kernel_w; |
| | k2 += kernel_w; |
| | k3 += kernel_w; |
| | k4 += kernel_w; |
| | k5 += kernel_w; |
| | k6 += kernel_w; |
| | k7 += kernel_w; |
| | g00 += 8; |
| | } |
| | } |
| | } |
| | for (; p < inh; p++) |
| | { |
| | const float* k0 = kptr0 + p * kernel_w; |
| | const float* k1 = kptr1 + p * kernel_w; |
| | const float* k2 = kptr2 + p * kernel_w; |
| | const float* k3 = kptr3 + p * kernel_w; |
| | const float* k4 = kptr4 + p * kernel_w; |
| | const float* k5 = kptr5 + p * kernel_w; |
| | const float* k6 = kptr6 + p * kernel_w; |
| | const float* k7 = kptr7 + p * kernel_w; |
| |
|
| | for (int k = 0; k < kernel_w; k++) |
| | { |
| | g00[0] = float32_to_bfloat16(k0[k]); |
| | g00[1] = float32_to_bfloat16(k1[k]); |
| | g00[2] = float32_to_bfloat16(k2[k]); |
| | g00[3] = float32_to_bfloat16(k3[k]); |
| | g00[4] = float32_to_bfloat16(k4[k]); |
| | g00[5] = float32_to_bfloat16(k5[k]); |
| | g00[6] = float32_to_bfloat16(k6[k]); |
| | g00[7] = float32_to_bfloat16(k7[k]); |
| | g00 += 8; |
| | } |
| | } |
| | } |
| | #endif |
| | for (; q + 3 < outh; q += 4) |
| | { |
| | const float* kptr0 = (const float*)kernel + q * inh * kernel_w; |
| | const float* kptr1 = (const float*)kernel + (q + 1) * inh * kernel_w; |
| | const float* kptr2 = (const float*)kernel + (q + 2) * inh * kernel_w; |
| | const float* kptr3 = (const float*)kernel + (q + 3) * inh * kernel_w; |
| |
|
| | #if __aarch64__ |
| | unsigned short* g00 = kernel_tm.channel(q / 8 + (q % 8) / 4); |
| | #else |
| | unsigned short* g00 = kernel_tm.channel(q / 4); |
| | #endif |
| |
|
| | int p = 0; |
| | #if __aarch64__ |
| | for (; p + 7 < inh; p += 8) |
| | { |
| | for (int k = 0; k < kernel_w; k++) |
| | { |
| | const float* k0 = kptr0 + p * kernel_w; |
| | const float* k1 = kptr1 + p * kernel_w; |
| | const float* k2 = kptr2 + p * kernel_w; |
| | const float* k3 = kptr3 + p * kernel_w; |
| |
|
| | for (int i = 0; i < 8; i++) |
| | { |
| | g00[0] = float32_to_bfloat16(k0[k]); |
| | g00[1] = float32_to_bfloat16(k1[k]); |
| | g00[2] = float32_to_bfloat16(k2[k]); |
| | g00[3] = float32_to_bfloat16(k3[k]); |
| | k0 += kernel_w; |
| | k1 += kernel_w; |
| | k2 += kernel_w; |
| | k3 += kernel_w; |
| | g00 += 4; |
| | } |
| | } |
| | } |
| | #endif |
| | for (; p + 3 < inh; p += 4) |
| | { |
| | for (int k = 0; k < kernel_w; k++) |
| | { |
| | const float* k0 = kptr0 + p * kernel_w; |
| | const float* k1 = kptr1 + p * kernel_w; |
| | const float* k2 = kptr2 + p * kernel_w; |
| | const float* k3 = kptr3 + p * kernel_w; |
| |
|
| | for (int i = 0; i < 4; i++) |
| | { |
| | g00[0] = float32_to_bfloat16(k0[k]); |
| | g00[1] = float32_to_bfloat16(k1[k]); |
| | g00[2] = float32_to_bfloat16(k2[k]); |
| | g00[3] = float32_to_bfloat16(k3[k]); |
| | k0 += kernel_w; |
| | k1 += kernel_w; |
| | k2 += kernel_w; |
| | k3 += kernel_w; |
| | g00 += 4; |
| | } |
| | } |
| | } |
| | for (; p + 1 < inh; p += 2) |
| | { |
| | for (int k = 0; k < kernel_w; k++) |
| | { |
| | const float* k0 = kptr0 + p * kernel_w; |
| | const float* k1 = kptr1 + p * kernel_w; |
| | const float* k2 = kptr2 + p * kernel_w; |
| | const float* k3 = kptr3 + p * kernel_w; |
| |
|
| | for (int i = 0; i < 2; i++) |
| | { |
| | g00[0] = float32_to_bfloat16(k0[k]); |
| | g00[1] = float32_to_bfloat16(k1[k]); |
| | g00[2] = float32_to_bfloat16(k2[k]); |
| | g00[3] = float32_to_bfloat16(k3[k]); |
| | k0 += kernel_w; |
| | k1 += kernel_w; |
| | k2 += kernel_w; |
| | k3 += kernel_w; |
| | g00 += 4; |
| | } |
| | } |
| | } |
| | for (; p < inh; p++) |
| | { |
| | const float* k0 = kptr0 + p * kernel_w; |
| | const float* k1 = kptr1 + p * kernel_w; |
| | const float* k2 = kptr2 + p * kernel_w; |
| | const float* k3 = kptr3 + p * kernel_w; |
| |
|
| | for (int k = 0; k < kernel_w; k++) |
| | { |
| | g00[0] = float32_to_bfloat16(k0[k]); |
| | g00[1] = float32_to_bfloat16(k1[k]); |
| | g00[2] = float32_to_bfloat16(k2[k]); |
| | g00[3] = float32_to_bfloat16(k3[k]); |
| | g00 += 4; |
| | } |
| | } |
| | } |
| | #endif |
| | for (; q + 1 < outh; q += 2) |
| | { |
| | const float* kptr0 = (const float*)kernel + q * inh * kernel_w; |
| | const float* kptr1 = (const float*)kernel + (q + 1) * inh * kernel_w; |
| |
|
| | #if __aarch64__ |
| | unsigned short* g00 = kernel_tm.channel(q / 8 + (q % 8) / 4 + (q % 4) / 2); |
| | #elif __ARM_NEON |
| | unsigned short* g00 = kernel_tm.channel(q / 4 + (q % 4) / 2); |
| | #else |
| | unsigned short* g00 = kernel_tm.channel(q / 2); |
| | #endif |
| |
|
| | int p = 0; |
| | #if __ARM_NEON |
| | #if __aarch64__ |
| | for (; p + 7 < inh; p += 8) |
| | { |
| | for (int k = 0; k < kernel_w; k++) |
| | { |
| | const float* k0 = kptr0 + p * kernel_w + k; |
| | const float* k1 = kptr1 + p * kernel_w + k; |
| |
|
| | g00[0] = float32_to_bfloat16(k0[0]); |
| | g00[1] = float32_to_bfloat16(k0[kernel_w]); |
| | g00[2] = float32_to_bfloat16(k0[kernel_w * 2]); |
| | g00[3] = float32_to_bfloat16(k0[kernel_w * 3]); |
| | g00[4] = float32_to_bfloat16(k0[kernel_w * 4]); |
| | g00[5] = float32_to_bfloat16(k0[kernel_w * 5]); |
| | g00[6] = float32_to_bfloat16(k0[kernel_w * 6]); |
| | g00[7] = float32_to_bfloat16(k0[kernel_w * 7]); |
| | g00[8] = float32_to_bfloat16(k1[0]); |
| | g00[9] = float32_to_bfloat16(k1[kernel_w]); |
| | g00[10] = float32_to_bfloat16(k1[kernel_w * 2]); |
| | g00[11] = float32_to_bfloat16(k1[kernel_w * 3]); |
| | g00[12] = float32_to_bfloat16(k1[kernel_w * 4]); |
| | g00[13] = float32_to_bfloat16(k1[kernel_w * 5]); |
| | g00[14] = float32_to_bfloat16(k1[kernel_w * 6]); |
| | g00[15] = float32_to_bfloat16(k1[kernel_w * 7]); |
| | g00 += 16; |
| | } |
| | } |
| | #endif |
| | for (; p + 3 < inh; p += 4) |
| | { |
| | for (int k = 0; k < kernel_w; k++) |
| | { |
| | const float* k0 = kptr0 + p * kernel_w + k; |
| | const float* k1 = kptr1 + p * kernel_w + k; |
| |
|
| | g00[0] = float32_to_bfloat16(k0[0]); |
| | g00[1] = float32_to_bfloat16(k0[kernel_w]); |
| | g00[2] = float32_to_bfloat16(k0[kernel_w * 2]); |
| | g00[3] = float32_to_bfloat16(k0[kernel_w * 3]); |
| | g00[4] = float32_to_bfloat16(k1[0]); |
| | g00[5] = float32_to_bfloat16(k1[kernel_w]); |
| | g00[6] = float32_to_bfloat16(k1[kernel_w * 2]); |
| | g00[7] = float32_to_bfloat16(k1[kernel_w * 3]); |
| | g00 += 8; |
| | } |
| | } |
| | #endif |
| | for (; p + 1 < inh; p += 2) |
| | { |
| | for (int k = 0; k < kernel_w; k++) |
| | { |
| | const float* k0 = kptr0 + p * kernel_w; |
| | const float* k1 = kptr1 + p * kernel_w; |
| |
|
| | for (int i = 0; i < 2; i++) |
| | { |
| | g00[0] = float32_to_bfloat16(k0[k]); |
| | g00[1] = float32_to_bfloat16(k1[k]); |
| | k0 += kernel_w; |
| | k1 += kernel_w; |
| | g00 += 2; |
| | } |
| | } |
| | } |
| | for (; p < inh; p++) |
| | { |
| | const float* k0 = kptr0 + p * kernel_w; |
| | const float* k1 = kptr1 + p * kernel_w; |
| |
|
| | for (int k = 0; k < kernel_w; k++) |
| | { |
| | g00[0] = float32_to_bfloat16(k0[k]); |
| | g00[1] = float32_to_bfloat16(k1[k]); |
| | g00 += 2; |
| | } |
| | } |
| | } |
| | for (; q < outh; q++) |
| | { |
| | const float* kptr = (const float*)kernel + q * inh * kernel_w; |
| |
|
| | #if __aarch64__ |
| | unsigned short* g00 = kernel_tm.channel(q / 8 + (q % 8) / 4 + (q % 4) / 2 + q % 2); |
| | #elif __ARM_NEON |
| | unsigned short* g00 = kernel_tm.channel(q / 4 + (q % 4) / 2 + q % 2); |
| | #else |
| | unsigned short* g00 = kernel_tm.channel(q / 2 + q % 2); |
| | #endif |
| |
|
| | int p = 0; |
| | #if __ARM_NEON |
| | #if __aarch64__ |
| | for (; p + 7 < inh; p += 8) |
| | { |
| | for (int k = 0; k < kernel_w; k++) |
| | { |
| | const float* k0 = kptr + p * kernel_w; |
| |
|
| | for (int i = 0; i < 8; i++) |
| | { |
| | g00[0] = float32_to_bfloat16(k0[k]); |
| | k0 += kernel_w; |
| | g00 += 1; |
| | } |
| | } |
| | } |
| | #endif |
| | for (; p + 3 < inh; p += 4) |
| | { |
| | for (int k = 0; k < kernel_w; k++) |
| | { |
| | const float* k0 = kptr + p * kernel_w; |
| |
|
| | for (int i = 0; i < 4; i++) |
| | { |
| | g00[0] = float32_to_bfloat16(k0[k]); |
| | k0 += kernel_w; |
| | g00 += 1; |
| | } |
| | } |
| | } |
| | #endif |
| | for (; p + 1 < inh; p += 2) |
| | { |
| | for (int k = 0; k < kernel_w; k++) |
| | { |
| | const float* k0 = kptr + p * kernel_w; |
| |
|
| | for (int i = 0; i < 2; i++) |
| | { |
| | g00[0] = float32_to_bfloat16(k0[k]); |
| | k0 += kernel_w; |
| | g00 += 1; |
| | } |
| | } |
| | } |
| | for (; p < inh; p++) |
| | { |
| | const float* k0 = kptr + p * kernel_w; |
| |
|
| | for (int k = 0; k < kernel_w; k++) |
| | { |
| | g00[0] = float32_to_bfloat16(k0[k]); |
| | g00++; |
| | } |
| | } |
| | } |
| | } |
| |
|
| | static void convolution1d_packed_bf16s(const Mat& bottom_blob, Mat& top_blob, const Mat& weight_data_tm, const Mat& bias_data, int kernel_w, int dilation_w, int stride_w, int activation_type, const Mat& activation_params, const Option& opt) |
| | { |
| | const int elempack = bottom_blob.elempack; |
| | const int inh = bottom_blob.h * elempack; |
| |
|
| | const int N = bottom_blob.w * elempack; |
| |
|
| | const int outw = top_blob.w; |
| | const int out_elempack = top_blob.elempack; |
| | const int outh = top_blob.h * out_elempack; |
| |
|
| | const int M = top_blob.w * out_elempack; |
| |
|
| | const float* bias_data_ptr = bias_data; |
| |
|
| | int nn_outh = 0; |
| | int remain_outh_start = 0; |
| | #if __ARM_NEON |
| | #if __aarch64__ |
| | nn_outh = (outh - remain_outh_start) / 8; |
| | #pragma omp parallel for num_threads(opt.num_threads) |
| | for (int pp = 0; pp < nn_outh; pp++) |
| | { |
| | const int p = remain_outh_start + pp * 8; |
| |
|
| | |
| | const int elempack = bottom_blob.elempack; |
| | const int inh = bottom_blob.h * elempack; |
| | const int outw = top_blob.w; |
| | const int out_elempack = top_blob.elempack; |
| |
|
| | unsigned short* outptr = top_blob.row<unsigned short>(p / out_elempack); |
| |
|
| | for (int j = 0; j < outw; j++) |
| | { |
| | float32x4_t _sum0 = vdupq_n_f32(0.f); |
| | float32x4_t _sum1 = vdupq_n_f32(0.f); |
| | float32x4_t _sum2 = vdupq_n_f32(0.f); |
| | float32x4_t _sum3 = vdupq_n_f32(0.f); |
| | float32x4_t _sum4 = vdupq_n_f32(0.f); |
| | float32x4_t _sum5 = vdupq_n_f32(0.f); |
| | float32x4_t _sum6 = vdupq_n_f32(0.f); |
| | float32x4_t _sum7 = vdupq_n_f32(0.f); |
| |
|
| | if (bias_data_ptr) |
| | { |
| | _sum0 = vld1q_f32(bias_data_ptr + p); |
| | _sum1 = vld1q_f32(bias_data_ptr + p + 4); |
| | } |
| |
|
| | const unsigned short* kptr = weight_data_tm.channel(p / 8); |
| |
|
| | int q = 0; |
| | for (; q + 7 < inh; q += 8) |
| | { |
| | const unsigned short* r0 = bottom_blob.row<const unsigned short>(q / elempack) + j * stride_w * elempack; |
| |
|
| | for (int k = 0; k < kernel_w; k++) |
| | { |
| | float32x4_t _r0; |
| | float32x4_t _r1; |
| | if (elempack == 4) |
| | { |
| | _r0 = bfloat2float(vld1_u16(r0)); |
| | _r1 = bfloat2float(vld1_u16(r0 + N)); |
| | r0 += dilation_w * 4; |
| | } |
| | else |
| | { |
| | uint16x8_t _r_u16 = uint16x8_t(); |
| | _r_u16 = vsetq_lane_u16(r0[0], _r_u16, 0); |
| | _r_u16 = vsetq_lane_u16(r0[N], _r_u16, 1); |
| | _r_u16 = vsetq_lane_u16(r0[N * 2], _r_u16, 2); |
| | _r_u16 = vsetq_lane_u16(r0[N * 3], _r_u16, 3); |
| | _r_u16 = vsetq_lane_u16(r0[N * 4], _r_u16, 4); |
| | _r_u16 = vsetq_lane_u16(r0[N * 5], _r_u16, 5); |
| | _r_u16 = vsetq_lane_u16(r0[N * 6], _r_u16, 6); |
| | _r_u16 = vsetq_lane_u16(r0[N * 7], _r_u16, 7); |
| | _r0 = bfloat2float(vget_low_u16(_r_u16)); |
| | _r1 = bfloat2float(vget_high_u16(_r_u16)); |
| | r0 += dilation_w; |
| | } |
| |
|
| | uint16x8_t _w01 = vld1q_u16(kptr); |
| | uint16x8_t _w23 = vld1q_u16(kptr + 8); |
| | uint16x8_t _w45 = vld1q_u16(kptr + 16); |
| | uint16x8_t _w67 = vld1q_u16(kptr + 24); |
| | uint16x8_t _w89 = vld1q_u16(kptr + 32); |
| | uint16x8_t _wab = vld1q_u16(kptr + 40); |
| | uint16x8_t _wcd = vld1q_u16(kptr + 48); |
| | uint16x8_t _wef = vld1q_u16(kptr + 56); |
| | float32x4_t _w0 = bfloat2float(vget_low_u16(_w01)); |
| | float32x4_t _w1 = bfloat2float(vget_high_u16(_w01)); |
| | float32x4_t _w2 = bfloat2float(vget_low_u16(_w23)); |
| | float32x4_t _w3 = bfloat2float(vget_high_u16(_w23)); |
| | float32x4_t _w4 = bfloat2float(vget_low_u16(_w45)); |
| | float32x4_t _w5 = bfloat2float(vget_high_u16(_w45)); |
| | float32x4_t _w6 = bfloat2float(vget_low_u16(_w67)); |
| | float32x4_t _w7 = bfloat2float(vget_high_u16(_w67)); |
| | float32x4_t _w8 = bfloat2float(vget_low_u16(_w89)); |
| | float32x4_t _w9 = bfloat2float(vget_high_u16(_w89)); |
| | float32x4_t _wa = bfloat2float(vget_low_u16(_wab)); |
| | float32x4_t _wb = bfloat2float(vget_high_u16(_wab)); |
| | float32x4_t _wc = bfloat2float(vget_low_u16(_wcd)); |
| | float32x4_t _wd = bfloat2float(vget_high_u16(_wcd)); |
| | float32x4_t _we = bfloat2float(vget_low_u16(_wef)); |
| | float32x4_t _wf = bfloat2float(vget_high_u16(_wef)); |
| | _sum0 = vfmaq_laneq_f32(_sum0, _w0, _r0, 0); |
| | _sum1 = vfmaq_laneq_f32(_sum1, _w1, _r0, 0); |
| | _sum2 = vfmaq_laneq_f32(_sum2, _w2, _r0, 1); |
| | _sum3 = vfmaq_laneq_f32(_sum3, _w3, _r0, 1); |
| | _sum4 = vfmaq_laneq_f32(_sum4, _w4, _r0, 2); |
| | _sum5 = vfmaq_laneq_f32(_sum5, _w5, _r0, 2); |
| | _sum6 = vfmaq_laneq_f32(_sum6, _w6, _r0, 3); |
| | _sum7 = vfmaq_laneq_f32(_sum7, _w7, _r0, 3); |
| | _sum0 = vfmaq_laneq_f32(_sum0, _w8, _r1, 0); |
| | _sum1 = vfmaq_laneq_f32(_sum1, _w9, _r1, 0); |
| | _sum2 = vfmaq_laneq_f32(_sum2, _wa, _r1, 1); |
| | _sum3 = vfmaq_laneq_f32(_sum3, _wb, _r1, 1); |
| | _sum4 = vfmaq_laneq_f32(_sum4, _wc, _r1, 2); |
| | _sum5 = vfmaq_laneq_f32(_sum5, _wd, _r1, 2); |
| | _sum6 = vfmaq_laneq_f32(_sum6, _we, _r1, 3); |
| | _sum7 = vfmaq_laneq_f32(_sum7, _wf, _r1, 3); |
| |
|
| | kptr += 64; |
| | } |
| | } |
| | for (; q + 3 < inh; q += 4) |
| | { |
| | const unsigned short* r0 = bottom_blob.row<const unsigned short>(q / elempack) + j * stride_w * elempack; |
| |
|
| | for (int k = 0; k < kernel_w; k++) |
| | { |
| | float32x4_t _r0; |
| | if (elempack == 4) |
| | { |
| | _r0 = bfloat2float(vld1_u16(r0)); |
| | r0 += dilation_w * 4; |
| | } |
| | else |
| | { |
| | uint16x4_t _r_u16 = uint16x4_t(); |
| | _r_u16 = vset_lane_u16(r0[0], _r_u16, 0); |
| | _r_u16 = vset_lane_u16(r0[N], _r_u16, 1); |
| | _r_u16 = vset_lane_u16(r0[N * 2], _r_u16, 2); |
| | _r_u16 = vset_lane_u16(r0[N * 3], _r_u16, 3); |
| | _r0 = bfloat2float(_r_u16); |
| | r0 += dilation_w; |
| | } |
| |
|
| | uint16x8_t _w01 = vld1q_u16(kptr); |
| | uint16x8_t _w23 = vld1q_u16(kptr + 8); |
| | uint16x8_t _w45 = vld1q_u16(kptr + 16); |
| | uint16x8_t _w67 = vld1q_u16(kptr + 24); |
| | float32x4_t _w0 = bfloat2float(vget_low_u16(_w01)); |
| | float32x4_t _w1 = bfloat2float(vget_high_u16(_w01)); |
| | float32x4_t _w2 = bfloat2float(vget_low_u16(_w23)); |
| | float32x4_t _w3 = bfloat2float(vget_high_u16(_w23)); |
| | float32x4_t _w4 = bfloat2float(vget_low_u16(_w45)); |
| | float32x4_t _w5 = bfloat2float(vget_high_u16(_w45)); |
| | float32x4_t _w6 = bfloat2float(vget_low_u16(_w67)); |
| | float32x4_t _w7 = bfloat2float(vget_high_u16(_w67)); |
| | _sum0 = vfmaq_laneq_f32(_sum0, _w0, _r0, 0); |
| | _sum1 = vfmaq_laneq_f32(_sum1, _w1, _r0, 0); |
| | _sum2 = vfmaq_laneq_f32(_sum2, _w2, _r0, 1); |
| | _sum3 = vfmaq_laneq_f32(_sum3, _w3, _r0, 1); |
| | _sum4 = vfmaq_laneq_f32(_sum4, _w4, _r0, 2); |
| | _sum5 = vfmaq_laneq_f32(_sum5, _w5, _r0, 2); |
| | _sum6 = vfmaq_laneq_f32(_sum6, _w6, _r0, 3); |
| | _sum7 = vfmaq_laneq_f32(_sum7, _w7, _r0, 3); |
| |
|
| | kptr += 32; |
| | } |
| | } |
| | for (; q + 1 < inh; q += 2) |
| | { |
| | const unsigned short* r0 = bottom_blob.row<const unsigned short>(q) + j * stride_w; |
| |
|
| | for (int k = 0; k < kernel_w; k++) |
| | { |
| | float val0; |
| | float val1; |
| | |
| | { |
| | val0 = bfloat16_to_float32(r0[0]); |
| | val1 = bfloat16_to_float32(r0[N]); |
| | r0 += dilation_w; |
| | } |
| |
|
| | uint16x8_t _w01 = vld1q_u16(kptr); |
| | uint16x8_t _w23 = vld1q_u16(kptr + 8); |
| | float32x4_t _w0 = bfloat2float(vget_low_u16(_w01)); |
| | float32x4_t _w1 = bfloat2float(vget_high_u16(_w01)); |
| | float32x4_t _w2 = bfloat2float(vget_low_u16(_w23)); |
| | float32x4_t _w3 = bfloat2float(vget_high_u16(_w23)); |
| | _sum0 = vfmaq_n_f32(_sum0, _w0, val0); |
| | _sum1 = vfmaq_n_f32(_sum1, _w1, val0); |
| | _sum2 = vfmaq_n_f32(_sum2, _w2, val1); |
| | _sum3 = vfmaq_n_f32(_sum3, _w3, val1); |
| |
|
| | kptr += 16; |
| | } |
| | } |
| | for (; q < inh; q++) |
| | { |
| | const unsigned short* r0 = bottom_blob.row<const unsigned short>(q) + j * stride_w; |
| |
|
| | for (int k = 0; k < kernel_w; k++) |
| | { |
| | float32x4_t _val; |
| | |
| | { |
| | _val = bfloat2float(vdup_n_u16(r0[0])); |
| | r0 += dilation_w; |
| | } |
| |
|
| | uint16x8_t _w = vld1q_u16(kptr); |
| | float32x4_t _w0 = bfloat2float(vget_low_u16(_w)); |
| | float32x4_t _w1 = bfloat2float(vget_high_u16(_w)); |
| | _sum0 = vfmaq_f32(_sum0, _w0, _val); |
| | _sum1 = vfmaq_f32(_sum1, _w1, _val); |
| |
|
| | kptr += 8; |
| | } |
| | } |
| |
|
| | _sum0 = vaddq_f32(_sum0, _sum2); |
| | _sum1 = vaddq_f32(_sum1, _sum3); |
| | _sum4 = vaddq_f32(_sum4, _sum6); |
| | _sum5 = vaddq_f32(_sum5, _sum7); |
| | _sum0 = vaddq_f32(_sum0, _sum4); |
| | _sum1 = vaddq_f32(_sum1, _sum5); |
| |
|
| | _sum0 = activation_ps(_sum0, activation_type, activation_params); |
| | _sum1 = activation_ps(_sum1, activation_type, activation_params); |
| |
|
| | if (out_elempack == 4) |
| | { |
| | vst1_u16(outptr, float2bfloat(_sum0)); |
| | vst1_u16(outptr + M, float2bfloat(_sum1)); |
| | outptr += 4; |
| | } |
| | else |
| | { |
| | uint16x4_t _sum0_u16 = float2bfloat(_sum0); |
| | uint16x4_t _sum1_u16 = float2bfloat(_sum1); |
| | outptr[0] = vget_lane_u16(_sum0_u16, 0); |
| | outptr[M] = vget_lane_u16(_sum0_u16, 1); |
| | outptr[M * 2] = vget_lane_u16(_sum0_u16, 2); |
| | outptr[M * 3] = vget_lane_u16(_sum0_u16, 3); |
| | outptr[M * 4] = vget_lane_u16(_sum1_u16, 0); |
| | outptr[M * 5] = vget_lane_u16(_sum1_u16, 1); |
| | outptr[M * 6] = vget_lane_u16(_sum1_u16, 2); |
| | outptr[M * 7] = vget_lane_u16(_sum1_u16, 3); |
| | outptr += 1; |
| | } |
| | } |
| | } |
| | remain_outh_start += nn_outh * 8; |
| | nn_outh = (outh - remain_outh_start) / 4; |
| | #else |
| | nn_outh = (outh - remain_outh_start) / 4; |
| | #pragma omp parallel for num_threads(opt.num_threads) |
| | #endif |
| | for (int pp = 0; pp < nn_outh; pp++) |
| | { |
| | const int p = remain_outh_start + pp * 4; |
| |
|
| | |
| | const int elempack = bottom_blob.elempack; |
| | const int inh = bottom_blob.h * elempack; |
| | const int outw = top_blob.w; |
| | const int out_elempack = top_blob.elempack; |
| |
|
| | unsigned short* outptr = top_blob.row<unsigned short>(p / out_elempack); |
| |
|
| | for (int j = 0; j < outw; j++) |
| | { |
| | float32x4_t _sum0 = vdupq_n_f32(0.f); |
| | float32x4_t _sum1 = vdupq_n_f32(0.f); |
| | float32x4_t _sum2 = vdupq_n_f32(0.f); |
| | float32x4_t _sum3 = vdupq_n_f32(0.f); |
| |
|
| | if (bias_data_ptr) |
| | { |
| | _sum0 = vld1q_f32(bias_data_ptr + p); |
| | } |
| |
|
| | #if __aarch64__ |
| | const unsigned short* kptr = weight_data_tm.channel(p / 8 + (p % 8) / 4); |
| | #else |
| | const unsigned short* kptr = weight_data_tm.channel(p / 4); |
| | #endif |
| |
|
| | int q = 0; |
| | #if __aarch64__ |
| | for (; q + 7 < inh; q += 8) |
| | { |
| | const unsigned short* r0 = bottom_blob.row<const unsigned short>(q / elempack) + j * stride_w * elempack; |
| |
|
| | for (int k = 0; k < kernel_w; k++) |
| | { |
| | float32x4_t _r0; |
| | float32x4_t _r1; |
| | if (elempack == 4) |
| | { |
| | _r0 = bfloat2float(vld1_u16(r0)); |
| | _r1 = bfloat2float(vld1_u16(r0 + N)); |
| | r0 += dilation_w * 4; |
| | } |
| | else |
| | { |
| | uint16x8_t _r_u16 = uint16x8_t(); |
| | _r_u16 = vsetq_lane_u16(r0[0], _r_u16, 0); |
| | _r_u16 = vsetq_lane_u16(r0[N], _r_u16, 1); |
| | _r_u16 = vsetq_lane_u16(r0[N * 2], _r_u16, 2); |
| | _r_u16 = vsetq_lane_u16(r0[N * 3], _r_u16, 3); |
| | _r_u16 = vsetq_lane_u16(r0[N * 4], _r_u16, 4); |
| | _r_u16 = vsetq_lane_u16(r0[N * 5], _r_u16, 5); |
| | _r_u16 = vsetq_lane_u16(r0[N * 6], _r_u16, 6); |
| | _r_u16 = vsetq_lane_u16(r0[N * 7], _r_u16, 7); |
| | _r0 = bfloat2float(vget_low_u16(_r_u16)); |
| | _r1 = bfloat2float(vget_high_u16(_r_u16)); |
| | r0 += dilation_w; |
| | } |
| |
|
| | uint16x8_t _w01 = vld1q_u16(kptr); |
| | uint16x8_t _w23 = vld1q_u16(kptr + 8); |
| | uint16x8_t _w45 = vld1q_u16(kptr + 16); |
| | uint16x8_t _w67 = vld1q_u16(kptr + 24); |
| | float32x4_t _w0 = bfloat2float(vget_low_u16(_w01)); |
| | float32x4_t _w1 = bfloat2float(vget_high_u16(_w01)); |
| | float32x4_t _w2 = bfloat2float(vget_low_u16(_w23)); |
| | float32x4_t _w3 = bfloat2float(vget_high_u16(_w23)); |
| | float32x4_t _w4 = bfloat2float(vget_low_u16(_w45)); |
| | float32x4_t _w5 = bfloat2float(vget_high_u16(_w45)); |
| | float32x4_t _w6 = bfloat2float(vget_low_u16(_w67)); |
| | float32x4_t _w7 = bfloat2float(vget_high_u16(_w67)); |
| | _sum0 = vfmaq_laneq_f32(_sum0, _w0, _r0, 0); |
| | _sum1 = vfmaq_laneq_f32(_sum1, _w1, _r0, 1); |
| | _sum2 = vfmaq_laneq_f32(_sum2, _w2, _r0, 2); |
| | _sum3 = vfmaq_laneq_f32(_sum3, _w3, _r0, 3); |
| | _sum0 = vfmaq_laneq_f32(_sum0, _w4, _r1, 0); |
| | _sum1 = vfmaq_laneq_f32(_sum1, _w5, _r1, 1); |
| | _sum2 = vfmaq_laneq_f32(_sum2, _w6, _r1, 2); |
| | _sum3 = vfmaq_laneq_f32(_sum3, _w7, _r1, 3); |
| |
|
| | kptr += 32; |
| | } |
| | } |
| | #endif |
| | for (; q + 3 < inh; q += 4) |
| | { |
| | const unsigned short* r0 = bottom_blob.row<const unsigned short>(q / elempack) + j * stride_w * elempack; |
| |
|
| | for (int k = 0; k < kernel_w; k++) |
| | { |
| | float32x4_t _r0; |
| | if (elempack == 4) |
| | { |
| | _r0 = bfloat2float(vld1_u16(r0)); |
| | r0 += dilation_w * 4; |
| | } |
| | else |
| | { |
| | uint16x4_t _r_u16 = uint16x4_t(); |
| | _r_u16 = vset_lane_u16(r0[0], _r_u16, 0); |
| | _r_u16 = vset_lane_u16(r0[N], _r_u16, 1); |
| | _r_u16 = vset_lane_u16(r0[N * 2], _r_u16, 2); |
| | _r_u16 = vset_lane_u16(r0[N * 3], _r_u16, 3); |
| | _r0 = bfloat2float(_r_u16); |
| | r0 += dilation_w; |
| | } |
| |
|
| | uint16x8_t _w01 = vld1q_u16(kptr); |
| | uint16x8_t _w23 = vld1q_u16(kptr + 8); |
| | float32x4_t _w0 = bfloat2float(vget_low_u16(_w01)); |
| | float32x4_t _w1 = bfloat2float(vget_high_u16(_w01)); |
| | float32x4_t _w2 = bfloat2float(vget_low_u16(_w23)); |
| | float32x4_t _w3 = bfloat2float(vget_high_u16(_w23)); |
| | #if __aarch64__ |
| | _sum0 = vfmaq_laneq_f32(_sum0, _w0, _r0, 0); |
| | _sum1 = vfmaq_laneq_f32(_sum1, _w1, _r0, 1); |
| | _sum2 = vfmaq_laneq_f32(_sum2, _w2, _r0, 2); |
| | _sum3 = vfmaq_laneq_f32(_sum3, _w3, _r0, 3); |
| | #else |
| | _sum0 = vmlaq_lane_f32(_sum0, _w0, vget_low_f32(_r0), 0); |
| | _sum1 = vmlaq_lane_f32(_sum1, _w1, vget_low_f32(_r0), 1); |
| | _sum2 = vmlaq_lane_f32(_sum2, _w2, vget_high_f32(_r0), 0); |
| | _sum3 = vmlaq_lane_f32(_sum3, _w3, vget_high_f32(_r0), 1); |
| | #endif |
| |
|
| | kptr += 16; |
| | } |
| | } |
| | for (; q + 1 < inh; q += 2) |
| | { |
| | const unsigned short* r0 = bottom_blob.row<const unsigned short>(q) + j * stride_w; |
| |
|
| | for (int k = 0; k < kernel_w; k++) |
| | { |
| | float val0; |
| | float val1; |
| | |
| | { |
| | val0 = bfloat16_to_float32(r0[0]); |
| | val1 = bfloat16_to_float32(r0[N]); |
| | r0 += dilation_w; |
| | } |
| |
|
| | uint16x8_t _w = vld1q_u16(kptr); |
| | float32x4_t _w0 = bfloat2float(vget_low_u16(_w)); |
| | float32x4_t _w1 = bfloat2float(vget_high_u16(_w)); |
| | #if __aarch64__ |
| | _sum0 = vfmaq_n_f32(_sum0, _w0, val0); |
| | _sum1 = vfmaq_n_f32(_sum1, _w1, val1); |
| | #else |
| | _sum0 = vmlaq_n_f32(_sum0, _w0, val0); |
| | _sum1 = vmlaq_n_f32(_sum1, _w1, val1); |
| | #endif |
| |
|
| | kptr += 8; |
| | } |
| | } |
| | for (; q < inh; q++) |
| | { |
| | const unsigned short* r0 = bottom_blob.row<const unsigned short>(q) + j * stride_w; |
| |
|
| | for (int k = 0; k < kernel_w; k++) |
| | { |
| | float32x4_t _val; |
| | |
| | { |
| | _val = bfloat2float(vdup_n_u16(r0[0])); |
| | r0 += dilation_w; |
| | } |
| |
|
| | float32x4_t _w = bfloat2float(vld1_u16(kptr)); |
| | #if __aarch64__ |
| | _sum0 = vfmaq_f32(_sum0, _val, _w); |
| | #else |
| | _sum0 = vmlaq_f32(_sum0, _val, _w); |
| | #endif |
| |
|
| | kptr += 4; |
| | } |
| | } |
| |
|
| | _sum0 = vaddq_f32(_sum0, _sum1); |
| | _sum2 = vaddq_f32(_sum2, _sum3); |
| | _sum0 = vaddq_f32(_sum0, _sum2); |
| |
|
| | _sum0 = activation_ps(_sum0, activation_type, activation_params); |
| |
|
| | if (out_elempack == 4) |
| | { |
| | vst1_u16(outptr, float2bfloat(_sum0)); |
| | outptr += 4; |
| | } |
| | else |
| | { |
| | uint16x4_t _sum0_u16 = float2bfloat(_sum0); |
| | outptr[0] = vget_lane_u16(_sum0_u16, 0); |
| | outptr[M] = vget_lane_u16(_sum0_u16, 1); |
| | outptr[M * 2] = vget_lane_u16(_sum0_u16, 2); |
| | outptr[M * 3] = vget_lane_u16(_sum0_u16, 3); |
| | outptr += 1; |
| | } |
| | } |
| | } |
| | remain_outh_start += nn_outh * 4; |
| | nn_outh = (outh - remain_outh_start) / 2; |
| | #else |
| | nn_outh = (outh - remain_outh_start) / 2; |
| | #pragma omp parallel for num_threads(opt.num_threads) |
| | #endif |
| | for (int pp = 0; pp < nn_outh; pp++) |
| | { |
| | const int p = remain_outh_start + pp * 2; |
| |
|
| | |
| | const int elempack = bottom_blob.elempack; |
| | const int inh = bottom_blob.h * elempack; |
| | const int outw = top_blob.w; |
| |
|
| | unsigned short* outptr0 = top_blob.row<unsigned short>(p); |
| | unsigned short* outptr1 = top_blob.row<unsigned short>(p + 1); |
| |
|
| | for (int j = 0; j < outw; j++) |
| | { |
| | float sum0 = 0.f; |
| | float sum1 = 0.f; |
| |
|
| | if (bias_data_ptr) |
| | { |
| | sum0 = bias_data_ptr[p]; |
| | sum1 = bias_data_ptr[p + 1]; |
| | } |
| |
|
| | #if __aarch64__ |
| | const unsigned short* kptr = weight_data_tm.channel(p / 8 + (p % 8) / 4 + (p % 4) / 2); |
| | #elif __ARM_NEON |
| | const unsigned short* kptr = weight_data_tm.channel(p / 4 + (p % 4) / 2); |
| | #else |
| | const unsigned short* kptr = weight_data_tm.channel(p / 2); |
| | #endif |
| |
|
| | int q = 0; |
| | #if __ARM_NEON |
| | #if __aarch64__ |
| | float32x4_t _sum0 = vdupq_n_f32(0.f); |
| | float32x4_t _sum1 = vdupq_n_f32(0.f); |
| | float32x4_t _sum2 = vdupq_n_f32(0.f); |
| | float32x4_t _sum3 = vdupq_n_f32(0.f); |
| | for (; q + 7 < inh; q += 8) |
| | { |
| | const unsigned short* r0 = bottom_blob.row<const unsigned short>(q / elempack) + j * stride_w * elempack; |
| |
|
| | for (int k = 0; k < kernel_w; k++) |
| | { |
| | float32x4_t _r0; |
| | float32x4_t _r1; |
| | if (elempack == 4) |
| | { |
| | _r0 = bfloat2float(vld1_u16(r0)); |
| | _r1 = bfloat2float(vld1_u16(r0 + N)); |
| | r0 += dilation_w * 4; |
| | } |
| | else |
| | { |
| | uint16x8_t _r01_u16 = uint16x8_t(); |
| | _r01_u16 = vsetq_lane_u16(r0[0], _r01_u16, 0); |
| | _r01_u16 = vsetq_lane_u16(r0[N], _r01_u16, 1); |
| | _r01_u16 = vsetq_lane_u16(r0[N * 2], _r01_u16, 2); |
| | _r01_u16 = vsetq_lane_u16(r0[N * 3], _r01_u16, 3); |
| | _r01_u16 = vsetq_lane_u16(r0[N * 4], _r01_u16, 4); |
| | _r01_u16 = vsetq_lane_u16(r0[N * 5], _r01_u16, 5); |
| | _r01_u16 = vsetq_lane_u16(r0[N * 6], _r01_u16, 6); |
| | _r01_u16 = vsetq_lane_u16(r0[N * 7], _r01_u16, 7); |
| | _r0 = bfloat2float(vget_low_u16(_r01_u16)); |
| | _r1 = bfloat2float(vget_high_u16(_r01_u16)); |
| | r0 += dilation_w; |
| | } |
| |
|
| | uint16x8_t _w01 = vld1q_u16(kptr); |
| | uint16x8_t _w23 = vld1q_u16(kptr + 8); |
| | float32x4_t _w0 = bfloat2float(vget_low_u16(_w01)); |
| | float32x4_t _w1 = bfloat2float(vget_high_u16(_w01)); |
| | float32x4_t _w2 = bfloat2float(vget_low_u16(_w23)); |
| | float32x4_t _w3 = bfloat2float(vget_high_u16(_w23)); |
| | _sum0 = vfmaq_f32(_sum0, _r0, _w0); |
| | _sum1 = vfmaq_f32(_sum1, _r1, _w1); |
| | _sum2 = vfmaq_f32(_sum2, _r0, _w2); |
| | _sum3 = vfmaq_f32(_sum3, _r1, _w3); |
| |
|
| | kptr += 16; |
| | } |
| | } |
| | _sum0 = vaddq_f32(_sum0, _sum1); |
| | _sum2 = vaddq_f32(_sum2, _sum3); |
| | sum0 += vaddvq_f32(_sum0); |
| | sum1 += vaddvq_f32(_sum2); |
| | _sum0 = vdupq_n_f32(0.f); |
| | _sum1 = vdupq_n_f32(0.f); |
| | #else |
| | float32x4_t _sum0 = vdupq_n_f32(0.f); |
| | float32x4_t _sum1 = vdupq_n_f32(0.f); |
| | #endif |
| | for (; q + 3 < inh; q += 4) |
| | { |
| | const unsigned short* r0 = bottom_blob.row<const unsigned short>(q / elempack) + j * stride_w * elempack; |
| |
|
| | for (int k = 0; k < kernel_w; k++) |
| | { |
| | float32x4_t _r0; |
| | if (elempack == 4) |
| | { |
| | _r0 = bfloat2float(vld1_u16(r0)); |
| | r0 += dilation_w * 4; |
| | } |
| | else |
| | { |
| | uint16x4_t _r0_u16 = uint16x4_t(); |
| | _r0_u16 = vset_lane_u16(r0[0], _r0_u16, 0); |
| | _r0_u16 = vset_lane_u16(r0[N], _r0_u16, 1); |
| | _r0_u16 = vset_lane_u16(r0[N * 2], _r0_u16, 2); |
| | _r0_u16 = vset_lane_u16(r0[N * 3], _r0_u16, 3); |
| | _r0 = bfloat2float(_r0_u16); |
| | r0 += dilation_w; |
| | } |
| |
|
| | uint16x8_t _w = vld1q_u16(kptr); |
| | float32x4_t _w0 = bfloat2float(vget_low_u16(_w)); |
| | float32x4_t _w1 = bfloat2float(vget_high_u16(_w)); |
| | #if __aarch64__ |
| | _sum0 = vfmaq_f32(_sum0, _r0, _w0); |
| | _sum1 = vfmaq_f32(_sum1, _r0, _w1); |
| | #else |
| | _sum0 = vmlaq_f32(_sum0, _r0, _w0); |
| | _sum1 = vmlaq_f32(_sum1, _r0, _w1); |
| | #endif |
| |
|
| | kptr += 8; |
| | } |
| | } |
| | #if __aarch64__ |
| | sum0 += vaddvq_f32(_sum0); |
| | sum1 += vaddvq_f32(_sum1); |
| | #else |
| | float32x2_t _ss0 = vadd_f32(vget_low_f32(_sum0), vget_high_f32(_sum0)); |
| | float32x2_t _ss1 = vadd_f32(vget_low_f32(_sum1), vget_high_f32(_sum1)); |
| | float32x2_t _ss = vpadd_f32(_ss0, _ss1); |
| | sum0 += vget_lane_f32(_ss, 0); |
| | sum1 += vget_lane_f32(_ss, 1); |
| | #endif |
| | #endif |
| | for (; q + 1 < inh; q += 2) |
| | { |
| | const unsigned short* r0 = bottom_blob.row<const unsigned short>(q) + j * stride_w; |
| |
|
| | for (int k = 0; k < kernel_w; k++) |
| | { |
| | float val0; |
| | float val1; |
| | |
| | { |
| | val0 = bfloat16_to_float32(r0[0]); |
| | val1 = bfloat16_to_float32(r0[N]); |
| | r0 += dilation_w; |
| | } |
| |
|
| | sum0 += val0 * bfloat16_to_float32(kptr[0]); |
| | sum1 += val0 * bfloat16_to_float32(kptr[1]); |
| | sum0 += val1 * bfloat16_to_float32(kptr[2]); |
| | sum1 += val1 * bfloat16_to_float32(kptr[3]); |
| |
|
| | kptr += 4; |
| | } |
| | } |
| | for (; q < inh; q++) |
| | { |
| | const unsigned short* r0 = bottom_blob.row<const unsigned short>(q) + j * stride_w; |
| |
|
| | for (int k = 0; k < kernel_w; k++) |
| | { |
| | float val; |
| | |
| | { |
| | val = bfloat16_to_float32(r0[0]); |
| | r0 += dilation_w; |
| | } |
| |
|
| | sum0 += val * bfloat16_to_float32(kptr[0]); |
| | sum1 += val * bfloat16_to_float32(kptr[1]); |
| |
|
| | kptr += 2; |
| | } |
| | } |
| |
|
| | sum0 = activation_ss(sum0, activation_type, activation_params); |
| | sum1 = activation_ss(sum1, activation_type, activation_params); |
| |
|
| | outptr0[0] = float32_to_bfloat16(sum0); |
| | outptr1[0] = float32_to_bfloat16(sum1); |
| | outptr0 += 1; |
| | outptr1 += 1; |
| | } |
| | } |
| | remain_outh_start += nn_outh * 2; |
| | for (int p = remain_outh_start; p < outh; p++) |
| | { |
| | unsigned short* outptr = top_blob.row<unsigned short>(p); |
| |
|
| | for (int j = 0; j < outw; j++) |
| | { |
| | float sum = 0.f; |
| |
|
| | if (bias_data_ptr) |
| | { |
| | sum = bias_data_ptr[p]; |
| | } |
| |
|
| | #if __aarch64__ |
| | const unsigned short* kptr = weight_data_tm.channel(p / 8 + (p % 8) / 4 + (p % 4) / 2 + p % 2); |
| | #elif __ARM_NEON |
| | const unsigned short* kptr = weight_data_tm.channel(p / 4 + (p % 4) / 2 + p % 2); |
| | #else |
| | const unsigned short* kptr = weight_data_tm.channel(p / 2 + p % 2); |
| | #endif |
| |
|
| | int q = 0; |
| | #if __ARM_NEON |
| | #if __aarch64__ |
| | float32x4_t _sum0 = vdupq_n_f32(0.f); |
| | float32x4_t _sum1 = vdupq_n_f32(0.f); |
| | for (; q + 7 < inh; q += 8) |
| | { |
| | const unsigned short* r0 = bottom_blob.row<const unsigned short>(q / elempack) + j * stride_w * elempack; |
| |
|
| | for (int k = 0; k < kernel_w; k++) |
| | { |
| | float32x4_t _r0; |
| | float32x4_t _r1; |
| | if (elempack == 4) |
| | { |
| | _r0 = bfloat2float(vld1_u16(r0)); |
| | _r1 = bfloat2float(vld1_u16(r0 + N)); |
| | r0 += dilation_w * 4; |
| | } |
| | else |
| | { |
| | uint16x8_t _r01_u16 = uint16x8_t(); |
| | _r01_u16 = vsetq_lane_u16(r0[0], _r01_u16, 0); |
| | _r01_u16 = vsetq_lane_u16(r0[N], _r01_u16, 1); |
| | _r01_u16 = vsetq_lane_u16(r0[N * 2], _r01_u16, 2); |
| | _r01_u16 = vsetq_lane_u16(r0[N * 3], _r01_u16, 3); |
| | _r01_u16 = vsetq_lane_u16(r0[N * 4], _r01_u16, 4); |
| | _r01_u16 = vsetq_lane_u16(r0[N * 5], _r01_u16, 5); |
| | _r01_u16 = vsetq_lane_u16(r0[N * 6], _r01_u16, 6); |
| | _r01_u16 = vsetq_lane_u16(r0[N * 7], _r01_u16, 7); |
| | _r0 = bfloat2float(vget_low_u16(_r01_u16)); |
| | _r1 = bfloat2float(vget_high_u16(_r01_u16)); |
| | r0 += dilation_w; |
| | } |
| |
|
| | uint16x8_t _w = vld1q_u16(kptr); |
| | float32x4_t _w0 = bfloat2float(vget_low_u16(_w)); |
| | float32x4_t _w1 = bfloat2float(vget_high_u16(_w)); |
| | _sum0 = vfmaq_f32(_sum0, _r0, _w0); |
| | _sum1 = vfmaq_f32(_sum1, _r1, _w1); |
| |
|
| | kptr += 8; |
| | } |
| | } |
| | _sum0 = vaddq_f32(_sum0, _sum1); |
| | sum += vaddvq_f32(_sum0); |
| | #endif |
| | float32x4_t _sum = vdupq_n_f32(0.f); |
| | for (; q + 3 < inh; q += 4) |
| | { |
| | const unsigned short* r0 = bottom_blob.row<const unsigned short>(q / elempack) + j * stride_w * elempack; |
| |
|
| | for (int k = 0; k < kernel_w; k++) |
| | { |
| | float32x4_t _r0; |
| | if (elempack == 4) |
| | { |
| | _r0 = bfloat2float(vld1_u16(r0)); |
| | r0 += dilation_w * 4; |
| | } |
| | else |
| | { |
| | uint16x4_t _r0_u16 = uint16x4_t(); |
| | _r0_u16 = vset_lane_u16(r0[0], _r0_u16, 0); |
| | _r0_u16 = vset_lane_u16(r0[N], _r0_u16, 1); |
| | _r0_u16 = vset_lane_u16(r0[N * 2], _r0_u16, 2); |
| | _r0_u16 = vset_lane_u16(r0[N * 3], _r0_u16, 3); |
| | _r0 = bfloat2float(_r0_u16); |
| | r0 += dilation_w; |
| | } |
| |
|
| | float32x4_t _w = bfloat2float(vld1_u16(kptr)); |
| | #if __aarch64__ |
| | _sum = vfmaq_f32(_sum, _r0, _w); |
| | #else |
| | _sum = vmlaq_f32(_sum, _r0, _w); |
| | #endif |
| |
|
| | kptr += 4; |
| | } |
| | } |
| | #if __aarch64__ |
| | sum += vaddvq_f32(_sum); |
| | #else |
| | float32x2_t _ss = vadd_f32(vget_low_f32(_sum), vget_high_f32(_sum)); |
| | _ss = vpadd_f32(_ss, _ss); |
| | sum += vget_lane_f32(_ss, 0); |
| | #endif |
| | #endif |
| | for (; q + 1 < inh; q += 2) |
| | { |
| | const unsigned short* r0 = bottom_blob.row<const unsigned short>(q) + j * stride_w; |
| |
|
| | for (int k = 0; k < kernel_w; k++) |
| | { |
| | float val0; |
| | float val1; |
| | |
| | { |
| | val0 = bfloat16_to_float32(r0[0]); |
| | val1 = bfloat16_to_float32(r0[N]); |
| | r0 += dilation_w; |
| | } |
| |
|
| | sum += val0 * bfloat16_to_float32(kptr[0]); |
| | sum += val1 * bfloat16_to_float32(kptr[1]); |
| |
|
| | kptr += 2; |
| | } |
| | } |
| | for (; q < inh; q++) |
| | { |
| | const unsigned short* r0 = bottom_blob.row<const unsigned short>(q) + j * stride_w; |
| |
|
| | for (int k = 0; k < kernel_w; k++) |
| | { |
| | float val; |
| | |
| | { |
| | val = bfloat16_to_float32(r0[0]); |
| | r0 += dilation_w; |
| | } |
| |
|
| | sum += val * bfloat16_to_float32(kptr[0]); |
| |
|
| | kptr += 1; |
| | } |
| | } |
| |
|
| | sum = activation_ss(sum, activation_type, activation_params); |
| |
|
| | outptr[0] = float32_to_bfloat16(sum); |
| | outptr += 1; |
| | } |
| | } |
| | } |
| |
|