// Copyright 2021 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 BATCH_TILE % 8 == 0 $assert BATCH_TILE >= 8 $SIMD_TILE = BATCH_TILE // 8 $ABC = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ" #include #include #include #include $WASM_V32X4_LANESELECT = "wasm_i32x4_relaxed_laneselect" if RELAXED else "wasm_v128_bitselect" $ISA = "wasmrelaxedsimd" if RELAXED else "wasmsimd" void xnn_f16_f32_vcvt_ukernel__${ISA}_int32_x${BATCH_TILE}( size_t batch, const void* input, float* output, const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS { assert(batch != 0); assert(batch % sizeof(uint16_t) == 0); assert(input != NULL); assert(output != NULL); const v128_t vsign_mask = wasm_v128_load64_splat(params->wasmsimd_int32.sign_mask); const v128_t vexp_offset = wasm_v128_load64_splat(params->wasmsimd_int32.exp_offset); const v128_t vexp_scale = wasm_v128_load64_splat(params->wasmsimd_int32.exp_scale); const v128_t vmagic_bias = wasm_v128_load64_splat(params->wasmsimd_int32.magic_bias); const v128_t vdenorm_cutoff = wasm_v128_load64_splat(params->wasmsimd_int32.denorm_cutoff); const uint16_t* i = (const uint16_t*) input; $if BATCH_TILE > 8: for (; batch >= ${BATCH_TILE} * sizeof(uint16_t); batch -= ${BATCH_TILE} * sizeof(uint16_t)) { const v128_t vh0 = wasm_v128_load(i); $for N in range(1, SIMD_TILE): const v128_t vh${N} = wasm_v128_load(i + ${N * 8}); i += ${BATCH_TILE}; const v128_t vzero = wasm_i16x8_const_splat(0); $for N in range(SIMD_TILE): const v128_t vw${N*2} = wasm_v16x8_shuffle(vzero, vh${N}, 0, 8, 1, 9, 2, 10, 3, 11); const v128_t vw${N*2+1} = wasm_v16x8_shuffle(vzero, vh${N}, 4, 12, 5, 13, 6, 14, 7, 15); $for N in range(2*SIMD_TILE): const v128_t vsign${N} = wasm_v128_and(vw${N}, vsign_mask); $for N in range(2*SIMD_TILE): const v128_t vnonsign${N} = wasm_v128_xor(vw${N}, vsign${N}); $for N in range(2*SIMD_TILE): const v128_t vnorm${N} = wasm_f32x4_mul(wasm_i32x4_add(wasm_u32x4_shr(vnonsign${N}, 3), vexp_offset), vexp_scale); $for N in range(2*SIMD_TILE): const v128_t vdenorm${N} = wasm_f32x4_sub(wasm_v128_or(wasm_u32x4_shr(vnonsign${N}, 16), vmagic_bias), vmagic_bias); $for N in range(2*SIMD_TILE): const v128_t vxmask${N} = wasm_i32x4_gt(vnonsign${N}, vdenorm_cutoff); $for N in range(2*SIMD_TILE): const v128_t vf${N} = wasm_v128_or(vsign${N}, wasm_v128_bitselect(vnorm${N}, vdenorm${N}, vxmask${N})); wasm_v128_store(output, vf0); $for N in range(1, 2*SIMD_TILE): wasm_v128_store(output + ${N*4}, vf${N}); output += ${BATCH_TILE}; } for (; batch >= 8 * sizeof(uint16_t); batch -= 8 * sizeof(uint16_t)) { const v128_t vh = wasm_v128_load(i); i += 8; const v128_t vzero = wasm_i16x8_const_splat(0); const v128_t vw_lo = wasm_v16x8_shuffle(vzero, vh, 0, 8, 1, 9, 2, 10, 3, 11); const v128_t vw_hi = wasm_v16x8_shuffle(vzero, vh, 4, 12, 5, 13, 6, 14, 7, 15); const v128_t vsign_lo = wasm_v128_and(vw_lo, vsign_mask); const v128_t vsign_hi = wasm_v128_and(vw_hi, vsign_mask); const v128_t vnonsign_lo = wasm_v128_xor(vw_lo, vsign_lo); const v128_t vnonsign_hi = wasm_v128_xor(vw_hi, vsign_hi); const v128_t vnorm_lo = wasm_f32x4_mul(wasm_i32x4_add(wasm_u32x4_shr(vnonsign_lo, 3), vexp_offset), vexp_scale); const v128_t vnorm_hi = wasm_f32x4_mul(wasm_i32x4_add(wasm_u32x4_shr(vnonsign_hi, 3), vexp_offset), vexp_scale); const v128_t vdenorm_lo = wasm_f32x4_sub(wasm_v128_or(wasm_u32x4_shr(vnonsign_lo, 16), vmagic_bias), vmagic_bias); const v128_t vdenorm_hi = wasm_f32x4_sub(wasm_v128_or(wasm_u32x4_shr(vnonsign_hi, 16), vmagic_bias), vmagic_bias); const v128_t vxmask_lo = wasm_i32x4_gt(vnonsign_lo, vdenorm_cutoff); const v128_t vxmask_hi = wasm_i32x4_gt(vnonsign_hi, vdenorm_cutoff); const v128_t vf_lo = wasm_v128_or(vsign_lo, wasm_v128_bitselect(vnorm_lo, vdenorm_lo, vxmask_lo)); const v128_t vf_hi = wasm_v128_or(vsign_hi, wasm_v128_bitselect(vnorm_hi, vdenorm_hi, vxmask_hi)); wasm_v128_store(output, vf_lo); wasm_v128_store(output + 4, vf_hi); output += 8; } if XNN_UNLIKELY(batch != 0) { assert(batch >= 1 * sizeof(uint16_t)); assert(batch <= 7 * sizeof(uint16_t)); const v128_t vh = wasm_v128_load(i); const v128_t vzero = wasm_i16x8_const_splat(0); const v128_t vw_lo = wasm_v16x8_shuffle(vzero, vh, 0, 8, 1, 9, 2, 10, 3, 11); const v128_t vw_hi = wasm_v16x8_shuffle(vzero, vh, 4, 12, 5, 13, 6, 14, 7, 15); const v128_t vsign_lo = wasm_v128_and(vw_lo, vsign_mask); const v128_t vsign_hi = wasm_v128_and(vw_hi, vsign_mask); const v128_t vnonsign_lo = wasm_v128_xor(vw_lo, vsign_lo); const v128_t vnonsign_hi = wasm_v128_xor(vw_hi, vsign_hi); const v128_t vnorm_lo = wasm_f32x4_mul(wasm_i32x4_add(wasm_u32x4_shr(vnonsign_lo, 3), vexp_offset), vexp_scale); const v128_t vnorm_hi = wasm_f32x4_mul(wasm_i32x4_add(wasm_u32x4_shr(vnonsign_hi, 3), vexp_offset), vexp_scale); const v128_t vdenorm_lo = wasm_f32x4_sub(wasm_v128_or(wasm_u32x4_shr(vnonsign_lo, 16), vmagic_bias), vmagic_bias); const v128_t vdenorm_hi = wasm_f32x4_sub(wasm_v128_or(wasm_u32x4_shr(vnonsign_hi, 16), vmagic_bias), vmagic_bias); const v128_t vxmask_lo = wasm_i32x4_gt(vnonsign_lo, vdenorm_cutoff); v128_t vf = wasm_v128_or(vsign_lo, wasm_v128_bitselect(vnorm_lo, vdenorm_lo, vxmask_lo)); if (batch & (4 * sizeof(uint16_t))) { wasm_v128_store(output, vf); output += 4; const v128_t vxmask_hi = wasm_i32x4_gt(vnonsign_hi, vdenorm_cutoff); vf = wasm_v128_or(vsign_hi, wasm_v128_bitselect(vnorm_hi, vdenorm_hi, vxmask_hi)); } if (batch & (2 * sizeof(uint16_t))) { wasm_v128_store64_lane(output, vf, 0); vf = wasm_v64x2_shuffle(vf, vf, 1, 1); output += 2; } if (batch & (1 * sizeof(uint16_t))) { wasm_v128_store32_lane(output, vf, 0); } } }