mirror of
https://github.com/ggerganov/llama.cpp.git
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2b3389677a
* ggml : unify rope norm/neox (CPU) * ggml : fix compile warning * ggml : remove GLM rope mode ggml-ci * metal : better rope implementation ggml-ci * cuda : better rope implementation ggml-ci * naming : n_orig_ctx -> n_ctx_orig ggml-ci * dev : add reminders to update backends ggml-ci * vulkan : fix ggml_rope_ext() usage * cuda : fix array size + indents ggml-ci
74 lines
2.7 KiB
Plaintext
74 lines
2.7 KiB
Plaintext
#version 450
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#include "rope_common.comp"
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layout(binding = 0) buffer restrict readonly tensorInA { float inA[]; };
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layout(binding = 1) buffer restrict readonly tensorInB { int inB[]; };
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layout(binding = 2) buffer restrict writeonly tensorOut { float out_[]; };
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void main() {
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const uint i3 = gl_WorkGroupID.z;
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const uint i2 = gl_WorkGroupID.y;
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const uint i1 = gl_WorkGroupID.x;
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const bool is_neox = (pcs.mode & 2) != 0;
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float corr_dims[2];
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rope_yarn_corr_dims(pcs.n_dims, pcs.n_ctx_orig, pcs.freq_base, pcs.beta_fast, pcs.beta_slow, corr_dims);
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const float theta_scale = pow(pcs.freq_base, -2.0/pcs.n_dims);
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const int p = inB[pcs.inBOff + i2];
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float theta = float(p);
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if (!is_neox) {
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for (uint i0 = 0; i0 < pcs.ne0; i0 += 2) {
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float cos_theta, sin_theta;
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rope_yarn(theta, pcs.freq_scale, corr_dims, i0, pcs.ext_factor, pcs.attn_factor, cos_theta, sin_theta);
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theta *= theta_scale;
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const uint src = uint((i3*pcs.nb03 + i2*pcs.nb02 + i1*pcs.nb01 + i0*pcs.nb00) / 4) + pcs.inAOff; // Based from in
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const uint dst_data = uint((i3*pcs.nb3 + i2*pcs.nb2 + i1*pcs.nb1 + i0*pcs.nb0) / 4) + pcs.outOff; // Based from out_
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const float x0 = inA[src];
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const float x1 = inA[src+1];
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out_[dst_data] = x0*cos_theta - x1*sin_theta;
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out_[dst_data+1] = x0*sin_theta + x1*cos_theta;
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}
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} else {
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const float inv_ndims = -1.f/pcs.n_dims;
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for (uint ic = 0; ic < pcs.n_dims; ic += 2) {
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const uint cur_rot = ic;
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float cos_theta, sin_theta;
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rope_yarn(theta, pcs.freq_scale, corr_dims, cur_rot, pcs.ext_factor, pcs.attn_factor, cos_theta, sin_theta);
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theta *= theta_scale;
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const uint i0 = ic/2;
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const uint src = uint((i3*pcs.nb03 + i2*pcs.nb02 + i1*pcs.nb01 + i0*pcs.nb00) / 4) + pcs.inAOff; // Based from in
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const uint dst_data = uint((i3*pcs.nb3 + i2*pcs.nb2 + i1*pcs.nb1 + i0*pcs.nb0) / 4) + pcs.outOff; // Based from out_
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const float x0 = inA[src];
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const float x1 = inA[src+pcs.n_dims/2];
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out_[dst_data] = x0*cos_theta - x1*sin_theta;
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out_[dst_data+pcs.n_dims/2] = x0*sin_theta + x1*cos_theta;
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}
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for (uint ic = pcs.n_dims; ic < pcs.ne0; ic += 2) {
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const uint i0 = ic;
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const uint src = uint((i3*pcs.nb03 + i2*pcs.nb02 + i1*pcs.nb01 + i0*pcs.nb00) / 4) + pcs.inAOff; // Based from in
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const uint dst_data = uint((i3*pcs.nb3 + i2*pcs.nb2 + i1*pcs.nb1 + i0*pcs.nb0) / 4) + pcs.outOff; // Based from out_
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out_[dst_data + 0] = inA[src + 0];
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out_[dst_data + 1] = inA[src + 1];
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}
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}
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}
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