mirror of
https://github.com/ggerganov/llama.cpp.git
synced 2024-11-15 07:19:53 +00:00
a3738b2fa7
* Fix Vulkan repeat op * Implement Vulkan concat op * Delete old Vulkan shader generator * Implement Vulkan im2col op * Implement Vulkan unary gelu_quick op * Implement Vulkan group_norm op * Implement Vulkan timestep_embedding op * Implement Vulkan upscale op * Fix Vulkan vk_context tensor extra index issue * Fix Vulkan matmul shader parameter bug * Properly fix Vulkan matmul shader parameter bug * Add Vulkan ADD f16 + f32 -> f16 operator support * Implement Vulkan tanh op * Fix Vulkan group count too large Validation error on non-Nvidia GPUs * Throw error when too much memory is requested * Fix another Vulkan group count too large Validation error on non-Nvidia GPUs * Fix matmul MMQ condition * Implement Vulkan pad op * Fix Vulkan crash when tensor is used multiple times in a compute graph * Add Vulkan CONCAT f16 + f16 -> f16 op * Add Vulkan LEAKY_RELU op
43 lines
1.2 KiB
Plaintext
43 lines
1.2 KiB
Plaintext
#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_TYPE sum[BLOCK_SIZE];
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void main() {
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const uint row = gl_WorkGroupID.z * 262144 + gl_WorkGroupID.y * 512 + gl_WorkGroupID.x;
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const uint tid = gl_LocalInvocationID.x;
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sum[tid] = FLOAT_TYPE(0.0f); // partial sum for thread in warp
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[[unroll]] for (uint col = tid; col < p.KX; col += BLOCK_SIZE) {
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const FLOAT_TYPE xi = FLOAT_TYPE(data_a[row*p.KX + col]);
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sum[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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sum[tid] += sum[tid + s];
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}
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barrier();
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}
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const FLOAT_TYPE mean = sum[0] / FLOAT_TYPE(p.KX);
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const FLOAT_TYPE scale = inversesqrt(mean + FLOAT_TYPE(p.param1));
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[[unroll]] for (uint col = tid; col < p.KX; col += BLOCK_SIZE) {
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data_d[row*p.KX + col] = D_TYPE(scale * FLOAT_TYPE(data_a[row*p.KX + col]));
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}
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}
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