// Copyright 2020 Google LLC // // This source code is licensed under the BSD-style license found in the // LICENSE file in the root directory of this source tree. $assert NR == 2 $assert MR % 2 == 0 #include #include #include $assert ACTIVATION in ["LINEAR", "RELU", "MINMAX"] $ACTIVATION_SUFFIX = {"LINEAR": ""}.get(ACTIVATION, "_" + ACTIVATION.lower()) $ARCH_SUFFIX = "" if ACTIVATION in ["LINEAR", "RELU"] else "_x86" if X86 else "_arm" $PARAMS = {"LINEAR": "xnn_f32_default_params", "RELU": "xnn_f32_relu_params", "MINMAX": "xnn_f32_minmax_params"}[ACTIVATION] void xnn_f32_igemm${ACTIVATION_SUFFIX}_ukernel_${MR}x${NR}c4__wasmsimd${ARCH_SUFFIX}( size_t mr, size_t nc, size_t kc, size_t ks, const float**restrict a, const float*restrict w, float*restrict c, size_t cm_stride, size_t cn_stride, size_t a_offset, const float* zero, const union ${PARAMS} params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_TSAN { assert(mr != 0); assert(mr <= ${MR}); assert(nc != 0); assert(kc != 0); assert(kc % sizeof(float) == 0); assert(ks != 0); assert(ks % (${MR} * sizeof(void*)) == 0); assert(a_offset % sizeof(float) == 0); assert(a != NULL); assert(w != NULL); assert(c != NULL); float* c0 = c; $for M in range(1, MR): float* c${M} = (float*) ((uintptr_t) c${M-1} + cm_stride); $if M % 2 == 0: if XNN_UNPREDICTABLE(mr <= ${M}) { c${M} = c${M-1}; } $elif M + 1 == MR: if XNN_UNPREDICTABLE(mr != ${M+1}) { c${M} = c${M-1}; } $else: if XNN_UNPREDICTABLE(mr < ${M+1}) { c${M} = c${M-1}; } $if ACTIVATION == "MINMAX" and not X86: const v128_t vmin = wasm_v32x4_load_splat(¶ms->scalar.min); const v128_t vmax = wasm_v32x4_load_splat(¶ms->scalar.max); do { v128_t vacc0x0c4 = wasm_f32x4_replace_lane(wasm_f32x4_splat(0.0f), 0, w[0]); $for N in range(1, NR): v128_t vacc0x${N}c4 = wasm_f32x4_replace_lane(vacc0x0c4, 0, w[${N}]); $for M in range(1, MR): $for N in range(NR): v128_t vacc${M}x${N}c4 = vacc0x${N}c4; w += ${NR}; size_t p = ks; do { $for M in range(MR): const float* restrict a${M} = a[${M}]; assert(a${M} != NULL); if XNN_UNPREDICTABLE(a${M} != zero) { a${M} = (const float*) ((uintptr_t) a${M} + a_offset); } a += ${MR}; size_t k = kc; for (; k >= 4 * sizeof(float); k -= 4 * sizeof(float)) { $for M in range(MR): const v128_t va${M} = wasm_v128_load(a${M}); a${M} += 4; const v128_t vb0 = wasm_v128_load(w); $for N in range(1, NR): const v128_t vb${N} = wasm_v128_load(w + ${N * 4}); w += ${NR * 4}; $for M in range(MR): $for N in range(NR): vacc${M}x${N}c4 = wasm_f32x4_add(vacc${M}x${N}c4, wasm_f32x4_mul(va${M}, vb${N})); } if XNN_UNLIKELY(k != 0) { $for M in range(MR): const v128_t va${M} = wasm_v128_load(a${M}); const v128_t vb0 = wasm_v128_load(w); $for N in range(1, NR): const v128_t vb${N} = wasm_v128_load(w + ${N * 4}); w += ${NR * 4}; const v128_t vzero = wasm_f32x4_splat(0.0f); $for N in range(NR): const v128_t vmask${N} = wasm_f32x4_eq(vb${N}, vzero); $for M in range(MR): $for N in range(NR): vacc${M}x${N}c4 = wasm_f32x4_add(vacc${M}x${N}c4, wasm_f32x4_mul(wasm_v128_andnot(va${M}, vmask${N}), vb${N})); } p -= ${MR} * sizeof(void*); } while (p != 0); $for M in range(MR): const v128_t vacc${M}x01c2 = wasm_f32x4_add( wasm_v32x4_shuffle(vacc${M}x0c4, vacc${M}x1c4, 0, 4, 1, 5), wasm_v32x4_shuffle(vacc${M}x0c4, vacc${M}x1c4, 2, 6, 3, 7)); $for M in range(0, MR, 2): v128_t vacc${M}${M+1}x01 = wasm_f32x4_add( wasm_v32x4_shuffle(vacc${M}x01c2, vacc${M+1}x01c2, 0, 1, 4, 5), wasm_v32x4_shuffle(vacc${M}x01c2, vacc${M+1}x01c2, 2, 3, 6, 7)); $if ACTIVATION == "MINMAX": $if X86: const v128_t vmin = wasm_v32x4_load_splat(¶ms->scalar.min); $for M in range(0, MR, 2): vacc${M}${M+1}x01 = wasm_v128_bitselect(vmin, vacc${M}${M+1}x01, wasm_f32x4_lt(vacc${M}${M+1}x01, vmin)); $else: $for M in range(0, MR, 2): vacc${M}${M+1}x01 = wasm_f32x4_max(vacc${M}${M+1}x01, vmin); $if X86: const v128_t vmax = wasm_v32x4_load_splat(¶ms->scalar.max); $for M in range(0, MR, 2): vacc${M}${M+1}x01 = wasm_v128_bitselect(vacc${M}${M+1}x01, vmax, wasm_f32x4_le(vacc${M}${M+1}x01, vmax)); $else: $for M in range(0, MR, 2): vacc${M}${M+1}x01 = wasm_f32x4_min(vacc${M}${M+1}x01, vmax); $elif ACTIVATION == "RELU": const v128_t vzero = wasm_f32x4_splat(0.0f); $for M in range(0, MR, 2): vacc${M}${M+1}x01 = wasm_i32x4_max(vacc${M}${M+1}x01, vzero); if XNN_LIKELY(nc >= ${NR}) { $for M in reversed(range(0, MR, 2)): *((double*) c${M+1}) = wasm_f64x2_extract_lane(vacc${M}${M+1}x01, 1); c${M+1} = (float*) ((uintptr_t) c${M+1} + cn_stride); *((double*) c${M}) = wasm_f64x2_extract_lane(vacc${M}${M+1}x01, 0); c${M} = (float*) ((uintptr_t) c${M} + cn_stride); a = (const float**restrict) ((uintptr_t) a - ks); nc -= ${NR}; } else { assert(nc == 1); $for M in reversed(range(0, MR, 2)): *c${M+1} = wasm_f32x4_extract_lane(vacc${M}${M+1}x01, 2); *c${M} = wasm_f32x4_extract_lane(vacc${M}${M+1}x01, 0); nc = 0; } } while (nc != 0); }