Feature: Integrate with unified SYCL backend for Intel GPUs by abhilash1910 · Pull Request #2690 · ggml-org/llama.cpp (original) (raw)
Is this supposed to work with laptop/low-end iGPUs? I was getting some acceleration with openBlas but wanted this give a shot locally, but fails with:
$ GGML_SYCL_DEBUG=1 GGML_SYCL_DEVICE=0 ./bin/main -m ../../../../../models/c0c3c83d0ec33ffe925657a56b06771b -p "Building a website can be done in 10 simple steps:" -n 400 -e -ngl 33 > logs.txt 2>&1
Log start
main: build = 2038 (ce320601)
main: built with Intel(R) oneAPI DPC++/C++ Compiler 2024.0.2 (2024.0.2.20231213) for x86_64-unknown-linux-gnu
main: seed = 1706787641
ggml_init_sycl: GGML_SYCL_FP16: no
ggml_init_sycl: SYCL_USE_XMX: yes
found 2 SYCL devices:
Device 0: 12th Gen Intel(R) Core(TM) i7-1280P, compute capability 3.0,
max compute_units 20, max work group size 8192, max sub group size 64, global mem size 67084083200
Device 1: Intel(R) FPGA Emulation Device, compute capability 1.2,
max compute_units 20, max work group size 67108864, max sub group size 64, global mem size 67084083200
Using device 0 (12th Gen Intel(R) Core(TM) i7-1280P) as main device
llama_model_loader: loaded meta data with 20 key-value pairs and 325 tensors from ../../../../../models/c0c3c83d0ec33ffe925657a56b06771b (version GGUF V3 (latest))
llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output.
llama_model_loader: - kv 0: general.architecture str = phi2
llama_model_loader: - kv 1: general.name str = Phi2
llama_model_loader: - kv 2: phi2.context_length u32 = 2048
llama_model_loader: - kv 3: phi2.embedding_length u32 = 2560
llama_model_loader: - kv 4: phi2.feed_forward_length u32 = 10240
llama_model_loader: - kv 5: phi2.block_count u32 = 32
llama_model_loader: - kv 6: phi2.attention.head_count u32 = 32
llama_model_loader: - kv 7: phi2.attention.head_count_kv u32 = 32
llama_model_loader: - kv 8: phi2.attention.layer_norm_epsilon f32 = 0.000010
llama_model_loader: - kv 9: phi2.rope.dimension_count u32 = 32
llama_model_loader: - kv 10: general.file_type u32 = 7
llama_model_loader: - kv 11: tokenizer.ggml.add_bos_token bool = false
llama_model_loader: - kv 12: tokenizer.ggml.model str = gpt2
llama_model_loader: - kv 13: tokenizer.ggml.tokens arr[str,51200] = ["!", "\"", "#", "$", "%", "&", "'", ...
llama_model_loader: - kv 14: tokenizer.ggml.token_type arr[i32,51200] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
llama_model_loader: - kv 15: tokenizer.ggml.merges arr[str,50000] = ["Ġ t", "Ġ a", "h e", "i n", "r e",...
llama_model_loader: - kv 16: tokenizer.ggml.bos_token_id u32 = 50256
llama_model_loader: - kv 17: tokenizer.ggml.eos_token_id u32 = 50256
llama_model_loader: - kv 18: tokenizer.ggml.unknown_token_id u32 = 50256
llama_model_loader: - kv 19: general.quantization_version u32 = 2
llama_model_loader: - type f32: 195 tensors
llama_model_loader: - type q8_0: 130 tensors
llm_load_vocab: mismatch in special tokens definition ( 910/51200 vs 944/51200 ).
llm_load_print_meta: format = GGUF V3 (latest)
llm_load_print_meta: arch = phi2
llm_load_print_meta: vocab type = BPE
llm_load_print_meta: n_vocab = 51200
llm_load_print_meta: n_merges = 50000
llm_load_print_meta: n_ctx_train = 2048
llm_load_print_meta: n_embd = 2560
llm_load_print_meta: n_head = 32
llm_load_print_meta: n_head_kv = 32
llm_load_print_meta: n_layer = 32
llm_load_print_meta: n_rot = 32
llm_load_print_meta: n_embd_head_k = 80
llm_load_print_meta: n_embd_head_v = 80
llm_load_print_meta: n_gqa = 1
llm_load_print_meta: n_embd_k_gqa = 2560
llm_load_print_meta: n_embd_v_gqa = 2560
llm_load_print_meta: f_norm_eps = 1.0e-05
llm_load_print_meta: f_norm_rms_eps = 0.0e+00
llm_load_print_meta: f_clamp_kqv = 0.0e+00
llm_load_print_meta: f_max_alibi_bias = 0.0e+00
llm_load_print_meta: n_ff = 10240
llm_load_print_meta: n_expert = 0
llm_load_print_meta: n_expert_used = 0
llm_load_print_meta: rope scaling = linear
llm_load_print_meta: freq_base_train = 10000.0
llm_load_print_meta: freq_scale_train = 1
llm_load_print_meta: n_yarn_orig_ctx = 2048
llm_load_print_meta: rope_finetuned = unknown
llm_load_print_meta: model type = 3B
llm_load_print_meta: model ftype = Q8_0
llm_load_print_meta: model params = 2.78 B
llm_load_print_meta: model size = 2.75 GiB (8.51 BPW)
llm_load_print_meta: general.name = Phi2
llm_load_print_meta: BOS token = 50256 '<|endoftext|>'
llm_load_print_meta: EOS token = 50256 '<|endoftext|>'
llm_load_print_meta: UNK token = 50256 '<|endoftext|>'
llm_load_print_meta: LF token = 128 'Ä'
llm_load_tensors: ggml ctx size = 0.25 MiB
llm_load_tensors: offloading 32 repeating layers to GPU
llm_load_tensors: offloading non-repeating layers to GPU
llm_load_tensors: offloaded 33/33 layers to GPU
llm_load_tensors: buffer size = 2686.46 MiB
llm_load_tensors: CPU buffer size = 132.81 MiB
............................................................................................
llama_new_context_with_model: n_ctx = 512
llama_new_context_with_model: freq_base = 10000.0
llama_new_context_with_model: freq_scale = 1
llama_kv_cache_init: KV buffer size = 160.00 MiB
llama_new_context_with_model: KV self size = 160.00 MiB, K (f16): 80.00 MiB, V (f16): 80.00 MiB
llama_new_context_with_model: CPU input buffer size = 6.01 MiB
llama_new_context_with_model: compute buffer size = 121.00 MiB
llama_new_context_with_model: CPU compute buffer size = 5.50 MiB
llama_new_context_with_model: graph splits (measure): 3
GGML_SYCL_DEBUG=1
call ggml_sycl_norm
The program was built for 1 devices
Build program log for '12th Gen Intel(R) Core(TM) i7-1280P':
Compilation started
Compilation done
Linking started
Linking done
Device build started
Options used by backend compiler:
Failed to build device program
CompilerException Failed to lookup symbol _ZTSZZL13norm_f32_syclPKfPfiifPN4sycl3_V15queueEENKUlRNS3_7handlerEE0_clES7_EUlNS3_7nd_itemILi3EEEE_
JIT session error: Symbols not found: [ _Z11fmax_commonDv32_fS_S_ ]
Failed to materialize symbols: { (main, { _ZTSZL17sum_rows_f32_syclPKfPfiiPN4sycl3_V15queueEEUlNS3_7nd_itemILi3EEEE_, _ZGVdN32uuuuuuu__ZTSZZL17soft_max_f32_syclPKfS0_PfiiifPN4sycl3_V15queueEENKUlRNS3_7handlerEE_clES7_EUlNS3_7nd_itemILi3EEEE_, _ZTSZZL13norm_f32_syclPKfPfiifPN4sycl3_V15queueEENKUlRNS3_7handlerEE_clES7_EUlNS3_7nd_itemILi3EEEE_, _ZTSZZL13norm_f32_syclPKfPfiifPN4sycl3_V15queueEENKUlRNS3_7handlerEE0_clES7_EUlNS3_7nd_itemILi3EEEE_, _ZGVdN32uuuuuu__ZTSZZL17rms_norm_f32_syclPKfPfiifPN4sycl3_V15queueEENKUlRNS3_7handlerEE0_clES7_EUlNS3_7nd_itemILi3EEEE_, _ZTSZZL19group_norm_f32_syclPKfPfiiiPN4sycl3_V15queueEENKUlRNS3_7handlerEE0_clES7_EUlNS3_7nd_itemILi3EEEE_, _ZTSZZL17rms_norm_f32_syclPKfPfiifPN4sycl3_V15queueEENKUlRNS3_7handlerEE0_clES7_EUlNS3_7nd_itemILi3EEEE_, _ZTSZZL17soft_max_f32_syclPKfS0_PfiiifPN4sycl3_V15queueEENKUlRNS3_7handlerEE_clES7_EUlNS3_7nd_itemILi3EEEE_, _ZTSZZL17rms_norm_f32_syclPKfPfiifPN4sycl3_V15queueEENKUlRNS3_7handlerEE_clES7_EUlNS3_7nd_itemILi3EEEE_, _ZTSZZL19group_norm_f32_syclPKfPfiiiPN4sycl3_V15queueEENKUlRNS3_7handlerEE_clES7_EUlNS3_7nd_itemILi3EEEE_, _ZGVdN32uuuuuu__ZTSZZL19group_norm_f32_syclPKfPfiiiPN4sycl3_V15queueEENKUlRNS3_7handlerEE0_clES7_EUlNS3_7nd_itemILi3EEEE_, _ZGVdN32uuuuuu__ZTSZZL13norm_f32_syclPKfPfiifPN4sycl3_V15queueEENKUlRNS3_7handlerEE0_clES7_EUlNS3_7nd_itemILi3EEEE_ }) }
-11 (PI_ERROR_BUILD_PROGRAM_FAILURE)Exception caught at file:/home/mudler/_git/LocalAI/backend/cpp/llama/llama.cpp/ggml-sycl.cpp, line:12651
does that mean that the op is not supported by the onboard GPU? If so I'd be happy to add it in the known issues in the docs