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More int mult, less float mult, worse performance
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ggml-cuda.cu
22
ggml-cuda.cu
@ -235,8 +235,8 @@ template <int block_size> static __global__ void dequantize_mul_mat_q4_0(const v
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__shared__ float tmp[block_size]; // separate sum for each thread
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tmp[tid] = 0;
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for (int i = 0; i < ncols/block_size; i += 2) {
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const int col = i*block_size + 2*tid;
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for (int i = 0; i < ncols/block_size; i += 4) {
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const int col = i*block_size + 4*tid;
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// dequantize
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const float d0 = x[(row*ncols + col)/QK4_0].d;
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@ -245,19 +245,21 @@ template <int block_size> static __global__ void dequantize_mul_mat_q4_0(const v
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const uint8_t * p0 = x[(row*ncols + col)/QK4_0].qs;
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const int8_t * p1 = y[col/QK8_0].qs;
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const uint8_t vui0 = p0[((row*ncols + col)%QK4_0)/2];
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const uint8_t vui00 = p0[((row*ncols + col)%QK4_0)/2];
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const uint8_t vui01 = p0[((row*ncols + col + 2)%QK4_0)/2];
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const int vi10 = p1[(col + 0)%QK8_0];
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const int vi11 = p1[(col + 1)%QK8_0];
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const int vi12 = p1[(col + 2)%QK8_0];
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const int vi13 = p1[(col + 3)%QK8_0];
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const int vi00 = vui0 & 0xF;
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const int vi01 = vui0 >> 4;
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const float v0 = (vi00 - 8)*vi10*d0*d1;
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const float v1 = (vi01 - 8)*vi11*d0*d1;
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const int vi00 = vui00 & 0xF;
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const int vi01 = vui00 >> 4;
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const int vi02 = vui01 & 0xF;
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const int vi03 = vui01 >> 4;
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// matrix multiplication
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tmp[tid] += v0;
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tmp[tid] += v1;
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const int sumi = (vi00 - 8)*vi10 + (vi01 - 8)*vi11 + (vi02 - 8)*vi12 + (vi03 - 8)*vi13;
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tmp[tid] += sumi*d0*d1;
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}
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// sum up partial sums and write back result
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