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reserve 200 mib for internal gpu usage

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Lizonghang 2025-01-27 22:14:12 +04:00
parent 1ca9e7974b
commit 2934cf3e8e
2 changed files with 5 additions and 8 deletions
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3
common/common.cpp
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@ -1201,8 +1201,7 @@ static bool assign_layers_to_device(
}
if (dev_gpu[m]) {
float reserved_mem = 0.1f; // reserved shared memory to avoid potential OOM, set to 100 MiB by default
vec_z_gpu[m] = (double)((dev.gpu_props.memory_free - reserved_mem) * GIGABYTE - c_gpu[m]) / (double)(n_layer * b_prime);
vec_z_gpu[m] = (double)(dev.gpu_props.memory_free * GIGABYTE - c_gpu[m]) / (double)(n_layer * b_prime);
if (dev.gpu_support.metal && m == 0 && cparams.keep_out_in_metal) {
vec_z_gpu[m] -= (double)bo / (double)(n_layer * b_prime);
}

10
src/llama.cpp
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@ -3620,12 +3620,10 @@ void llama_profile_device(
dev_info->gpu_props.name = gpu_props.name;
dev_info->gpu_props.description = gpu_props.description;
dev_info->gpu_props.memory_free = round(gpu_props.memory_free / (double)(1 << 30) * 100) / 100;
#if defined(GGML_USE_CUDA) || defined(GGML_USE_METAL)
// GPU memory limitation
// reserved/limit memory to avoid potential OOM, default to 200 MiB
dev_info->gpu_props.memory_free = round(gpu_props.memory_free / (double)(1 << 30) * 100) / 100 - 0.2;
dev_info->gpu_props.memory_free = std::min((float)gpu_mem, dev_info->gpu_props.memory_free);
#endif
dev_info->gpu_props.memory_total = round(gpu_props.memory_total / (double)(1 << 30) * 100) / 100;
dev_info->gpu_props.metal_read_vram_bw = device_metal_read_vram_bw();
@ -18072,9 +18070,9 @@ static int llama_decode_internal(
manage_graph_tensors(sub_gf, POSIX_MADV_DONTNEED);
int next_gf_id = (i + 1) % gf.size();
manage_graph_tensors(gf[next_gf_id], POSIX_MADV_WILLNEED, true);
manage_graph_tensors(gf[next_gf_id], POSIX_MADV_WILLNEED, false);
if (my_rank == 0 && (is_last_l || (next_gf_id == (int)gf.size() - 1))) {
manage_graph_tensors(gf[0], POSIX_MADV_WILLNEED, true);
manage_graph_tensors(gf[0], POSIX_MADV_WILLNEED, false);
}
}
}