mirror of
https://github.com/ggml-org/llama.cpp.git
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66ee4f297c
* vulkan: initial support for IQ3_S * vulkan: initial support for IQ3_XXS * vulkan: initial support for IQ2_XXS * vulkan: initial support for IQ2_XS * vulkan: optimize Q3_K by removing branches * vulkan: implement dequantize variants for coopmat2 * vulkan: initial support for IQ2_S * vulkan: vertically realign code * port failing dequant callbacks from mul_mm * Fix array length mismatches * vulkan: avoid using workgroup size before it is referenced * tests: increase timeout for Vulkan llvmpipe backend --------- Co-authored-by: Jeff Bolz <jbolz@nvidia.com>
40 lines
1.5 KiB
Plaintext
40 lines
1.5 KiB
Plaintext
#version 450
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#include "dequant_head.comp"
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layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in;
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layout (binding = 0) readonly buffer A {block_iq3_s 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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// Each thread handles 1 scale nibble.
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// Each block contains 4 scale bytes (8 scales) for 256 output values.
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const uint ib = gl_WorkGroupID.x * 32 + gl_LocalInvocationID.x / 8;
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init_iq_shmem(gl_WorkGroupSize);
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if (ib >= p.nel / 256) {
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return;
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}
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const uint is = gl_LocalInvocationID.x % 8;
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const uint b_idx = 256 * ib + 32 * is;
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const float d = float(data_a[ib].d);
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const float db = d * (1 + 2 * ((data_a[ib].scales[is] >> (4 * (is % 2))) & 0xf));
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// We must produce 32 values using 4 sign bytes, 1 qh byte, 8 qs bytes.
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uint qh = data_a[ib].qh[is];
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[[unroll]] for (uint l = 0; l < 8; ++l) {
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uint qs = data_a[ib].qs[8 * is + l];
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uint gidx = qs | ((qh << (8 - l)) & 256);
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uint8_t signs = data_a[ib].signs[8 * is + l / 2] >> (4 * (l & 1));
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u8vec4 grid = unpack8(iq3s_grid[gidx]);
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data_b[b_idx + 4 * l + 0] = D_TYPE(db * grid.x * ((signs & 1) != 0 ? -1.0 : 1.0));
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data_b[b_idx + 4 * l + 1] = D_TYPE(db * grid.y * ((signs & 2) != 0 ? -1.0 : 1.0));
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data_b[b_idx + 4 * l + 2] = D_TYPE(db * grid.z * ((signs & 4) != 0 ? -1.0 : 1.0));
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data_b[b_idx + 4 * l + 3] = D_TYPE(db * grid.w * ((signs & 8) != 0 ? -1.0 : 1.0));
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}
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}
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