| // Auto-generated file. Do not edit! |
| // Template: src/f32-spmm/scalar-pipelined.c.in |
| // Generator: tools/xngen |
| // |
| // Copyright 2019 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. |
| |
| #include <assert.h> |
| |
| #include <xnnpack/math.h> |
| #include <xnnpack/spmm.h> |
| |
| |
| void xnn_f32_spmm_minmax_ukernel_2x1__scalar_pipelined( |
| size_t mc, |
| size_t nc, |
| const float*restrict input, |
| const float*restrict weights, |
| const int32_t*restrict widx_dmap, |
| const uint32_t*restrict nidx_nnzmap, |
| float*restrict output, |
| size_t output_stride, |
| const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) |
| { |
| assert(mc != 0); |
| assert(mc % sizeof(float) == 0); |
| assert(nc != 0); |
| |
| const float vmin = params->scalar.min; |
| const float vmax = params->scalar.max; |
| size_t output_decrement = output_stride * nc - 2 * sizeof(float); |
| while XNN_LIKELY(mc >= 2 * sizeof(float)) { |
| const float*restrict w = weights; |
| const int32_t* dmap = widx_dmap; |
| const uint32_t* nnzmap = nidx_nnzmap; |
| float vw = *w++; |
| intptr_t diff = *dmap++; |
| float vi0 = input[0]; |
| float vi1 = input[1]; |
| size_t n = nc; |
| do { |
| uint32_t nnz = *nnzmap++; |
| float vacc0 = vw; |
| float vacc1 = vw; |
| vw = *w++; |
| if XNN_LIKELY(nnz != 0) { |
| do { |
| vacc0 += vi0 * vw; |
| vacc1 += vi1 * vw; |
| input = (const float*restrict) ((uintptr_t) input + (uintptr_t) diff); |
| |
| diff = *dmap++; |
| vw = *w++; |
| vi0 = input[0]; |
| vi1 = input[1]; |
| } while (--nnz != 0); |
| } |
| float vout0 = math_min_f32(vacc0, vmax); |
| float vout1 = math_min_f32(vacc1, vmax); |
| vout0 = math_max_f32(vout0, vmin); |
| vout1 = math_max_f32(vout1, vmin); |
| output[0] = vout0; |
| output[1] = vout1; |
| output = (float*restrict) ((uintptr_t) output + output_stride); |
| } while (--n != 0); |
| output = (float*restrict) ((uintptr_t) output - output_decrement); |
| input += 2; |
| mc -= 2 * sizeof(float); |
| } |
| if XNN_UNLIKELY(mc != 0) { |
| output_decrement += 1 * sizeof(float); |
| if (mc & (1 * sizeof(float))) { |
| const float*restrict w = weights; |
| const int32_t* dmap = widx_dmap; |
| const uint32_t* nnzmap = nidx_nnzmap; |
| float vw = *w++; |
| intptr_t diff = *dmap++; |
| float vi0 = input[0]; |
| size_t n = nc; |
| do { |
| uint32_t nnz = *nnzmap++; |
| float vacc0 = vw; |
| vw = *w++; |
| if XNN_LIKELY(nnz != 0) { |
| do { |
| vacc0 += vi0 * vw; |
| input = (const float*restrict) ((uintptr_t) input + (uintptr_t) diff); |
| |
| diff = *dmap++; |
| vw = *w++; |
| vi0 = input[0]; |
| } while (--nnz != 0); |
| } |
| float vout0 = math_min_f32(vacc0, vmax); |
| vout0 = math_max_f32(vout0, vmin); |
| output[0] = vout0; |
| output = (float*restrict) ((uintptr_t) output + output_stride); |
| } while (--n != 0); |
| output = (float*restrict) ((uintptr_t) output - output_decrement); |
| input += 1; |
| } |
| } |
| } |