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Convert riscv-v-spec-1.0.pdf into 111 PNG images, then perform OCR on each one in sequence, and measure the testing time on banana_f3: old: 31m16.267s new: 16m51.155s
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/////////////////////////////////////////////////////////////////////// | ||
// File: intsimdmatrixrvv.cpp | ||
// Description: matrix-vector product for 8-bit data on rvv. | ||
// Author: sunyuechi | ||
// | ||
// Copyright (c) 2024 Institue of Software Chinese Academy of Sciences (ISCAS). | ||
// Licensed under the Apache License, Version 2.0 (the "License"); | ||
// you may not use this file except in compliance with the License. | ||
// You may obtain a copy of the License at | ||
// http://www.apache.org/licenses/LICENSE-2.0 | ||
// Unless required by applicable law or agreed to in writing, software | ||
// distributed under the License is distributed on an "AS IS" BASIS, | ||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
// See the License for the specific language governing permissions and | ||
// limitations under the License. | ||
/////////////////////////////////////////////////////////////////////// | ||
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#ifdef HAVE_CONFIG_H | ||
# include "config_auto.h" // for HAVE_RVV, ... | ||
#endif | ||
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#if HAVE_RVV | ||
# include "intsimdmatrix.h" | ||
# include "tesstypes.h" | ||
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namespace tesseract { | ||
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static int DotProduct(const int8_t *u, const int8_t *v, int num) { | ||
int total = 0; | ||
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asm __volatile__ ( | ||
" .option arch, +v \n\t" | ||
" vsetvli t0,zero,e32,m8,ta,ma \n\t" | ||
" vmv.v.i v0,0 \n\t" | ||
"1: \n\t" | ||
" vsetvli t0,%[num],e8,m2,ta,ma \n\t" | ||
" vle8.v v16,0(%[u]) \n\t" | ||
" vle8.v v24,0(%[v]) \n\t" | ||
" sub %[num],%[num],t0 \n\t" | ||
" vwmul.vv v8,v24,v16 \n\t" | ||
" add %[u],%[u],t0 \n\t" | ||
" add %[v],%[v],t0 \n\t" | ||
" vsetvli zero,zero,e16,m4,tu,ma \n\t" | ||
" vwadd.wv v0,v0,v8 \n\t" | ||
" bnez %[num],1b \n\t" | ||
" vsetvli t0,zero,e32,m8,ta,ma \n\t" | ||
" vmv.s.x v8,zero \n\t" | ||
" vredsum.vs v0,v0,v8 \n\t" | ||
" vmv.x.s %[total],v0 \n\t" | ||
: [u] "+r" (u), | ||
[v] "+r" (v), | ||
[num] "+r" (num), | ||
[total] "+r" (total) | ||
: | ||
: "cc", "memory" | ||
); | ||
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return total; | ||
} | ||
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static void matrixDotVector(int dim1, int dim2, const int8_t *wi, const TFloat *scales, | ||
const int8_t *u, TFloat *v) { | ||
int num_out = dim1; | ||
int num_in = dim2 - 1; | ||
for (int i = 0; i < num_out; ++i) { | ||
const int8_t *wi_start = wi + i * dim2; | ||
int total = DotProduct(wi_start, u, num_in); | ||
// Add in the bias and apply scaling. | ||
v[i] = (total + wi_start[num_in] * INT8_MAX) * scales[i]; | ||
} | ||
} | ||
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const IntSimdMatrix IntSimdMatrix::intSimdMatrixRVV = { | ||
// Function. | ||
matrixDotVector, | ||
// Number of 32 bit outputs held in each register. | ||
1, | ||
// Maximum number of registers that we will use to hold outputs. | ||
1, | ||
// Number of 8 bit inputs in the inputs register. | ||
1, | ||
// Number of inputs in each weight group. | ||
1 | ||
}; | ||
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} // namespace tesseract. | ||
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#endif /* HAVE_RVV */ |
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