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cuda : less diff in the rope_neox kernel
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ggml-cuda.cu
38
ggml-cuda.cu
@ -4998,29 +4998,31 @@ static __global__ void rope_neox(
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const int ib = col / n_dims;
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const int ic = col % n_dims;
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if (ib == 0) {
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const int i = row*ncols + ib*n_dims + ic/2;
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const int i2 = row/p_delta_rows;
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float cur_rot = inv_ndims * ic - ib;
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const int p = has_pos ? pos[i2] : 0;
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const float theta_base = p*freq_scale*powf(theta_scale, col/2.0f);
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float cos_theta, sin_theta;
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rope_yarn(theta_base, freq_scale, corr_dims, cur_rot, ext_factor, attn_factor, &cos_theta, &sin_theta);
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const float x0 = x[i + 0];
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const float x1 = x[i + n_dims/2];
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dst[i + 0] = x0*cos_theta - x1*sin_theta;
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dst[i + n_dims/2] = x0*sin_theta + x1*cos_theta;
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} else {
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if (ib > 0) {
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const int i = row*ncols + ib*n_dims + ic;
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dst[i + 0] = x[i + 0];
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dst[i + 1] = x[i + 1];
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return;
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}
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const int i = row*ncols + ib*n_dims + ic/2;
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const int i2 = row/p_delta_rows;
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float cur_rot = inv_ndims * ic - ib;
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const int p = has_pos ? pos[i2] : 0;
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const float theta_base = p*freq_scale*powf(theta_scale, col/2.0f);
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float cos_theta, sin_theta;
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rope_yarn(theta_base, freq_scale, corr_dims, cur_rot, ext_factor, attn_factor, &cos_theta, &sin_theta);
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const float x0 = x[i + 0];
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const float x1 = x[i + n_dims/2];
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dst[i + 0] = x0*cos_theta - x1*sin_theta;
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dst[i + n_dims/2] = x0*sin_theta + x1*cos_theta;
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}
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static __global__ void rope_glm_f32(
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