diff options
| -rw-r--r-- | ggml-cuda.cu | 9 |
1 files changed, 9 insertions, 0 deletions
diff --git a/ggml-cuda.cu b/ggml-cuda.cu index b1e513b..a62f26e 100644 --- a/ggml-cuda.cu +++ b/ggml-cuda.cu @@ -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); } |