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https://github.com/ggml-org/llama.cpp.git
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67 lines
1.7 KiB
Plaintext
67 lines
1.7 KiB
Plaintext
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#version 450
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#include "generic_head.comp"
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#include "types.comp"
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#extension GL_EXT_control_flow_attributes : enable
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#define BLOCK_SIZE 512
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layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in;
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layout (binding = 0) readonly buffer X {A_TYPE data_a[];};
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layout (binding = 1) writeonly buffer D {D_TYPE data_d[];};
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shared float tmp[BLOCK_SIZE];
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void main() {
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const uint group_size = p.KX;
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const float eps = p.param1;
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const uint tid = gl_LocalInvocationID.x;
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const uint start = gl_WorkGroupID.x * group_size + tid;
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const uint end = start + group_size;
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tmp[tid] = 0.0f;
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// Calculate mean
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[[unroll]] for (uint col = start; col < end; col += BLOCK_SIZE) {
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tmp[tid] += float(data_a[col]);
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}
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// tmp up partial tmps and write back result
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barrier();
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[[unroll]] for (int s = BLOCK_SIZE / 2; s > 0; s >>= 1) {
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if (tid < s) {
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tmp[tid] += tmp[tid + s];
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}
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barrier();
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}
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const float mean = tmp[0] / group_size;
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barrier();
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tmp[tid] = 0.0f;
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// Calculate variance
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[[unroll]] for (uint col = start; col < end; col += BLOCK_SIZE) {
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const float xi = float(data_a[col]) - mean;
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data_d[col] = D_TYPE(xi);
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tmp[tid] += xi * xi;
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}
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// sum up partial sums and write back result
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barrier();
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[[unroll]] for (int s = BLOCK_SIZE / 2; s > 0; s >>= 1) {
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if (tid < s) {
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tmp[tid] += tmp[tid + s];
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}
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barrier();
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}
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const float variance = tmp[0] / group_size;
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const float scale = inversesqrt(variance + eps);
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[[unroll]] for (uint col = start; col < end; col += BLOCK_SIZE) {
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data_d[col] *= D_TYPE(scale);
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}
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}
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