Qwen/Qwen-7B_eval_request_False_float16_Original.json

{
    "model": "Qwen/Qwen-7B",
    "base_model": "",
    "revision": "main",
    "private": false,
    "precision": "float16",
    "params": 7.721,
    "architectures": "QWenLMHeadModel",
    "weight_type": "Original",
    "status": "FAILED",
    "submitted_time": "2024-04-18T23:08:40Z",
    "model_type": "🟢 : pretrained",
    "source": "leaderboard",
    "job_id": 495,
    "job_start_time": "2024-04-19T21-28-52.030704",
    "main_language": "Chinese",
    "error_msg": "Triton Error [CUDA]: device kernel image is invalid",
    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 201, in wait_download_and_run_request\n    run_request(\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 64, in run_request\n    results = run_eval_on_model(\n              ^^^^^^^^^^^^^^^^^^\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/run_eval.py\", line 60, in run_eval_on_model\n    result = evaluate(\n             ^^^^^^^^^\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/lm_eval_util.py\", line 145, in evaluate\n    results = evaluator.simple_evaluate(\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/utils.py\", line 419, in _wrapper\n    return fn(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/evaluator.py\", line 159, in simple_evaluate\n    results = evaluate(\n              ^^^^^^^^^\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/utils.py\", line 419, in _wrapper\n    return fn(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/evaluator.py\", line 343, in evaluate\n    resps = getattr(lm, reqtype)(cloned_reqs)\n            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 1426, in generate_until\n    batch_size, _ = self._detect_batch_size_and_length()\n                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 815, in _detect_batch_size_and_length\n    batch_size, max_length = forward_batch()\n                             ^^^^^^^^^^^^^^^\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 144, in decorator\n    return function(batch_size, max_length, *args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 810, in forward_batch\n    out = F.log_softmax(self._model_call(test_batch, **call_kwargs), dim=-1)\n                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 1052, in _model_call\n    return self.model(inps).logits\n           ^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1511, in _wrapped_call_impl\n    return self._call_impl(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1520, in _call_impl\n    return forward_call(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/workspace/datasets/hf_cache/modules/transformers_modules/Qwen/Qwen-7B/ef3c5c9c57b252f3149c1408daf4d649ec8b6c85/modeling_qwen.py\", line 1043, in forward\n    transformer_outputs = self.transformer(\n                          ^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1511, in _wrapped_call_impl\n    return self._call_impl(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1520, in _call_impl\n    return forward_call(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/workspace/datasets/hf_cache/modules/transformers_modules/Qwen/Qwen-7B/ef3c5c9c57b252f3149c1408daf4d649ec8b6c85/modeling_qwen.py\", line 891, in forward\n    outputs = block(\n              ^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1511, in _wrapped_call_impl\n    return self._call_impl(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1520, in _call_impl\n    return forward_call(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/workspace/datasets/hf_cache/modules/transformers_modules/Qwen/Qwen-7B/ef3c5c9c57b252f3149c1408daf4d649ec8b6c85/modeling_qwen.py\", line 610, in forward\n    attn_outputs = self.attn(\n                   ^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1511, in _wrapped_call_impl\n    return self._call_impl(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1520, in _call_impl\n    return forward_call(*args, **kwargs)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/workspace/datasets/hf_cache/modules/transformers_modules/Qwen/Qwen-7B/ef3c5c9c57b252f3149c1408daf4d649ec8b6c85/modeling_qwen.py\", line 432, in forward\n    query = apply_rotary_pos_emb(query, q_pos_emb)\n            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/workspace/datasets/hf_cache/modules/transformers_modules/Qwen/Qwen-7B/ef3c5c9c57b252f3149c1408daf4d649ec8b6c85/modeling_qwen.py\", line 1342, in apply_rotary_pos_emb\n    return apply_rotary_emb_func(t_float, cos, sin).type_as(t)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/flash_attn/layers/rotary.py\", line 122, in apply_rotary_emb\n    return ApplyRotaryEmb.apply(\n           ^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/torch/autograd/function.py\", line 553, in apply\n    return super().apply(*args, **kwargs)  # type: ignore[misc]\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/flash_attn/layers/rotary.py\", line 48, in forward\n    out = apply_rotary(\n          ^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/flash_attn/ops/triton/rotary.py\", line 202, in apply_rotary\n    rotary_kernel[grid](\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/triton/runtime/jit.py\", line 550, in run\n    bin.c_wrapper(\n    ^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/triton/compiler/compiler.py\", line 692, in __getattribute__\n    self._init_handles()\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/triton/compiler/compiler.py\", line 683, in _init_handles\n    mod, func, n_regs, n_spills = fn_load_binary(self.metadata[\"name\"], self.asm[bin_path], self.shared, device)\n                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nRuntimeError: Triton Error [CUDA]: device kernel image is invalid\n"
}