Signed-off-by: Jared Van Bortel <jared@nomic.ai> Co-authored-by: niansa <anton-sa@web.de> Co-authored-by: Adam Treat <treat.adam@gmail.com> Co-authored-by: Aaron Miller <apage43@ninjawhale.com> Co-authored-by: ToKiNoBug <tokinobug@163.com> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> Co-authored-by: slaren <slarengh@gmail.com>
32 lines
787 B
Plaintext
32 lines
787 B
Plaintext
#version 450
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#include "common.comp"
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layout(local_size_x = 1) in;
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layout (binding = 0) readonly buffer tensorInA { float16_t inA[]; };
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layout (binding = 1) readonly buffer tensorInB { int inB[]; };
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layout (binding = 2) writeonly buffer tensorOut { float out_[]; };
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layout (push_constant) uniform parameter {
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uint inAOff;
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uint inBOff;
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uint outOff;
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int ne00;
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int nb01;
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int nb1;
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} pcs;
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void dequantize_row_f16(uint x /*Based from inA unaligned*/, uint y /*Based from out_*/, int k) {
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for (int j = 0; j < k; j++) {
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out_[y + j] = inA[x + j];
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}
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}
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void main() {
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const uint i = gl_WorkGroupID.x;
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const int r = inB[i + pcs.inBOff];
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dequantize_row_f16(r*pcs.nb01/2/*bytes for float16*/ + pcs.inAOff, i*pcs.nb1/4 + pcs.outOff, pcs.ne00);
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}
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