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#version 450 |
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#include "rope_common.comp" |
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layout(binding = 0) buffer restrict readonly tensorInA { float16_t inA[]; }; |
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layout(binding = 1) buffer restrict readonly tensorInB { int inB[]; }; |
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layout(binding = 2) buffer restrict readonly tensorInC { float inC[]; }; |
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layout(binding = 3) buffer restrict writeonly tensorOut { float16_t 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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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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float theta_base = float(inB[pcs.inBOff + i2]); |
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float inv_ndims = -1.f/pcs.n_dims; |
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float cos_theta; |
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float sin_theta; |
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for (uint i0 = 2*gl_LocalInvocationIndex; i0 < pcs.ne0; i0 += 2*gl_WorkGroupSize.x) { |
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if (i0 < pcs.n_dims) { |
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uint ic = i0/2; |
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float theta = theta_base * pow(pcs.freq_base, inv_ndims*i0); |
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const float freq_factor = pcs.has_freq_factors ? inC[pcs.inCOff + ic] : 1.0f; |
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rope_yarn(theta/freq_factor, pcs.freq_scale, corr_dims, i0, pcs.ext_factor, pcs.attn_factor, cos_theta, sin_theta); |
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const uint src = uint((i3*pcs.nb03 + i2*pcs.nb02 + i1*pcs.nb01 + ic*pcs.nb00) / 2) + pcs.inAOff; |
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const uint dst_data = uint((i3*pcs.nb3 + i2*pcs.nb2 + i1*pcs.nb1 + ic*pcs.nb0) / 2) + pcs.outOff; |
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const float x0 = float(inA[src]); |
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const float x1 = float(inA[src+pcs.n_dims/2]); |
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out_[dst_data] = float16_t(x0*cos_theta - x1*sin_theta); |
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out_[dst_data+pcs.n_dims/2] = float16_t(x0*sin_theta + x1*cos_theta); |
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} else { |
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const uint src = uint((i3*pcs.nb03 + i2*pcs.nb02 + i1*pcs.nb01 + i0*pcs.nb00) / 2) + pcs.inAOff; |
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const uint dst_data = uint((i3*pcs.nb3 + i2*pcs.nb2 + i1*pcs.nb1 + i0*pcs.nb0) / 2) + pcs.outOff; |
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out_[dst_data] = inA[src]; |
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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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