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https://github.com/ggerganov/llama.cpp.git
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34 lines
1.4 KiB
Plaintext
34 lines
1.4 KiB
Plaintext
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#version 450
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#include "dequant_head.comp"
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layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in;
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layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
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layout (binding = 1) writeonly buffer D {D_TYPE data_b[];};
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void main() {
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[[unroll]] for (uint wgy = 0; wgy < 256; wgy++) {
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const uint i = gl_WorkGroupID.x * 256 + wgy;
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if (i >= p.M * p.K / QUANT_K) {
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return;
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}
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const uint tid = gl_LocalInvocationID.x;
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const uint ip = tid / 32;
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const uint il = tid - 32 * ip;
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const uint is = 8 * ip + il / 16;
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const uint y_idx = i * QUANT_K + 128 * ip + il;
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const uint ql_idx = 64 * ip + il;
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const uint8_t qh = data_a[i].qh[32 * ip + il];
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const FLOAT_TYPE d = FLOAT_TYPE(data_a[i].d);
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data_b[y_idx + 0] = D_TYPE(d * FLOAT_TYPE(data_a[i].scales[is + 0] * (int8_t((data_a[i].ql[ql_idx + 0] & 0xF) | (((qh >> 0) & 3) << 4)) - 32)));
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data_b[y_idx + 32] = D_TYPE(d * FLOAT_TYPE(data_a[i].scales[is + 2] * (int8_t((data_a[i].ql[ql_idx + 32] & 0xF) | (((qh >> 2) & 3) << 4)) - 32)));
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data_b[y_idx + 64] = D_TYPE(d * FLOAT_TYPE(data_a[i].scales[is + 4] * (int8_t((data_a[i].ql[ql_idx + 0] >> 4) | (((qh >> 4) & 3) << 4)) - 32)));
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data_b[y_idx + 96] = D_TYPE(d * FLOAT_TYPE(data_a[i].scales[is + 6] * (int8_t((data_a[i].ql[ql_idx + 32] >> 4) | (((qh >> 6) & 3) << 4)) - 32)));
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}
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}
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