aditya/llama.cpp
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Windows nvcc workaround (#1753)

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Fix gibberish output on Windows when using CUDA
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Johannes Gäßler 2023-06-09 13:58:15 +02:00 committed by GitHub
parent b33dee282f
commit ae9663f188
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1 changed files with 9 additions and 0 deletions
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9
ggml-cuda.cu
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@ -1512,6 +1512,14 @@ static void ggml_cuda_op(const ggml_tensor * src0, const ggml_tensor * src1, ggm
i01_high = row_high % ne01;
}
}
// There is possibly a bug in the Windows nvcc compiler regarding instruction reordering or optimizing out local variables.
// Removing the first assert or changing the order of the arguments causes the second assert to fail.
// Removing both asserts results in i01_high becoming 0 which in turn results in garbage output.
// The root cause seems to be a problem with i0_offset_high becoming 0 when it should always be >0 (for single GPU).
GGML_ASSERT(i01_low == 0 || g_device_count > 1);
GGML_ASSERT(i01_high == ne01 || g_device_count > 1);
const int64_t i01_diff = i01_high - i01_low;
if (i01_diff == 0) {
continue;
@ -1727,6 +1735,7 @@ void ggml_cuda_load_data(const char * fname, struct ggml_tensor * tensor, const
row_low -= row_low % GGML_CUDA_DMMV_Y;
row_high = id == g_device_count - 1 ? nrows : nrows*g_tensor_split[id + 1];
row_high -= row_high % GGML_CUDA_DMMV_Y;
GGML_ASSERT(nrows % GGML_CUDA_DMMV_Y == 0);
} else {
GGML_ASSERT(false);
}