meta-llama / llama

Inference code for Llama models
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Error when running example_chat_completion.py with torchrun #662

Open Hjoseph1 opened 11 months ago

Hjoseph1 commented 11 months ago

Why i have this error when i try to run llama-7b on windows (CPU: i5-7300HQ @2.50GHZ , memory:24576MB RAM):

torchrun --nproc_per_node 1 example_chat_completion.py --ckpt_dir llama-2-7b --tokenizer_path tokenizer.model --max_seq_len 512 --max_batch_size 4 NOTE: Redirects are currently not supported in Windows or MacOs. [W ..\torch\csrc\distributed\c10d\socket.cpp:601] [c10d] The client socket has failed to connect to [kubernetes.docker.internal]:29500 (system error: 10049 - LÆadresse demandÚe nÆest pas valide dans son contexte.). [W ..\torch\csrc\distributed\c10d\socket.cpp:601] [c10d] The client socket has failed to connect to [kubernetes.docker.internal]:29500 (system error: 10049 - LÆadresse demandÚe nÆest pas valide dans son contexte.). [W ..\torch\csrc\distributed\c10d\socket.cpp:601] [c10d] The client socket has failed to connect to [kubernetes.docker.internal]:29500 (system error: 10049 - LÆadresse demandÚe nÆest pas valide dans son contexte.). [W ..\torch\csrc\distributed\c10d\socket.cpp:601] [c10d] The client socket has failed to connect to [kubernetes.docker.internal]:29500 (system error: 10049 - LÆadresse demandÚe nÆest pas valide dans son contexte.). initializing model parallel with size 1 initializing ddp with size 1 initializing pipeline with size 1 Traceback (most recent call last): File "D:\HASINA\llama-main\example_chat_completion.py", line 73, in fire.Fire(main) File "C:\Users\ACER\AppData\Local\Programs\Python\Python311\Lib\site-packages\fire\core.py", line 141, in Fire component_trace = _Fire(component, args, parsed_flag_args, context, name) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\ACER\AppData\Local\Programs\Python\Python311\Lib\site-packages\fire\core.py", line 475, in _Fire component, remaining_args = _CallAndUpdateTrace( ^^^^^^^^^^^^^^^^^^^^ File "C:\Users\ACER\AppData\Local\Programs\Python\Python311\Lib\site-packages\fire\core.py", line 691, in _CallAndUpdateTrace component = fn(*varargs, *kwargs) ^^^^^^^^^^^^^^^^^^^^^^ File "D:\HASINA\llama-main\example_chat_completion.py", line 20, in main generator = Llama.build( ^^^^^^^^^^^^ File "D:\HASINA\llama-main\llama\generation.py", line 114, in build model = Transformer(model_args) ^^^^^^^^^^^^^^^^^^^^^^^ File "D:\HASINA\llama-main\llama\model.py", line 269, in init self.layers.append(TransformerBlock(layer_id, params)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\HASINA\llama-main\llama\model.py", line 232, in init self.feed_forward = FeedForward( ^^^^^^^^^^^^ File "D:\HASINA\llama-main\llama\model.py", line 211, in init self.w1 = ColumnParallelLinear( ^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\ACER\AppData\Local\Programs\Python\Python311\Lib\site-packages\fairscale\nn\model_parallel\layers.py", line 262, in init self.weight = Parameter(torch.Tensor(self.output_size_per_partition, self.in_features)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ RuntimeError: [enforce fail at ..\c10\core\impl\alloc_cpu.cpp:72] data. DefaultCPUAllocator: not enough memory: you tried to allocate 90177536 bytes. ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 0 (pid: 10568) of binary: C:\Users\ACER\AppData\Local\Programs\Python\Python311\python.exe Traceback (most recent call last): File "", line 198, in _run_module_as_main File "", line 88, in _run_code File "C:\Users\ACER\AppData\Local\Programs\Python\Python311\Scripts\torchrun.exe__main.py", line 7, in File "C:\Users\ACER\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\distributed\elastic\multiprocessing\errors\init__.py", line 346, in wrapper return f(args, **kwargs) ^^^^^^^^^^^^^^^^^^ File "C:\Users\ACER\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\distributed\run.py", line 794, in main run(args) File "C:\Users\ACER\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\distributed\run.py", line 785, in run elastic_launch( File "C:\Users\ACER\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\distributed\launcher\api.py", line 134, in call return launch_agent(self._config, self._entrypoint, list(args)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\ACER\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\distributed\launcher\api.py", line 250, in launch_agent raise ChildFailedError( torch.distributed.elastic.multiprocessing.errors.ChildFailedError:

example_chat_completion.py FAILED

huangwei2913 commented 11 months ago

I found the following is ok.

torchrun --nproc_per_node 1 example_chat_completion.py \

--ckpt_dir llama-2-7b-chat/ \
--tokenizer_path llama-2-7b-chat/tokenizer.model \
--max_seq_len 512 --max_batch_size 8

that's to say the max_batch_size setting problem. Another issue is that the output seems wrong as follows: (llama) huangwei@huangwei:~/llama$ torchrun --nproc_per_node 1 example_chat_completion.py \

--ckpt_dir llama-2-7b-chat/ \
--tokenizer_path llama-2-7b-chat/tokenizer.model \
--max_seq_len 512 --max_batch_size 8

initializing model parallel with size 1 initializing ddp with size 1 initializing pipeline with size 1 Loaded in 6.71 seconds User: what is the recipe of mayonnaise?

Assistant: Mayonnaise is a thick, creamy condiment made from a mixture of egg yolks, oil, and an acid, such as vinegar or lemon juice. Here is a basic recipe for homemade mayonnaise: Ingredients:

  • 2 egg yolks
  • 1/2 cup (120 ml) neutral-tasting oil, such as canola or grapeseed
  • 1 tablespoon (15 ml) vinegar or lemon juice
  • Salt and pepper to taste Instructions:
    1. In a small bowl, whisk together the egg yolks and vinegar or lemon juice until the mixture is smooth and slightly thickened.
    2. Slowly pour the oil into the egg yolk mixture while continuously whisking. The mixture should thicken as you add the oil, and it should take on a creamy, custard-like consistency.
    3. Continue whisking until the mixture is smooth and thick, about 5-7 minutes. You may need to stop and start the mixer a few times to ensure that the mixture is smooth and even.
    4. Taste the mayonnaise and season with salt and pepper as needed.
    5. Cover the bowl with plastic wrap and refrigerate the mayonnaise for at least 30 minutes before serving. This will allow the flavors to meld together and the mayonnaise to thicken further. That's it! Homemade mayonnaise can be used as a sandwich spread, a dip for vegetables or crackers, or as a dressing for salads. Enjoy! Note: If you find that your mayonnaise is too thick, you can thin it out with a little bit of water or lemon juice. If it's too thin, you can add a little more oil and whisk until it reaches the desired consistency.

==================================

User: I am going to Paris, what should I see?

Assistant: Paris, the capital of France, is known for its stunning architecture, art museums, historical landmarks, and romantic atmosphere. Here are some of the top attractions to see in Paris:

  1. The Eiffel Tower: The iconic Eiffel Tower is one of the most recognizable landmarks in the world and offers breathtaking views of the city.
  2. The Louvre Museum: The Louvre is one of the world's largest and most famous museums, housing an impressive collection of art and artifacts, including the Mona Lisa.
  3. Notre-Dame Cathedral: This beautiful cathedral is one of the most famous landmarks in Paris and is known for its Gothic architecture and stunning stained glass windows.

These are just a few of the many attractions that Paris has to offer. With so much to see and do, it's no wonder that Paris is one of the most popular tourist destinations in the world.

User: What is so great about #1?

Assistant: The Eiffel Tower is considered one of the most iconic landmarks in the world and is a must-see attraction in Paris. Here are some reasons why it's so great:

  1. Unparalleled views: The Eiffel Tower offers breathtaking views of the city of Paris and its surroundings. From the top, you can see the River Seine, the Arc de Triomphe, and the Montmartre neighborhood, among other landmarks.
  2. Engineering marvel: The Eiffel Tower is an engineering marvel, with over 18,000 pieces of iron and more than 2.5 million rivets holding it together. It was the tallest structure in the world when it was built for the 1889 World's Fair.
  3. Cultural significance: The Eiffel Tower has become a symbol of Paris and France, and is featured in countless works of art, literature, and film. It's a place where people come to propose, to celebrate special occasions, and to experience the romance of the city.
  4. Historical significance: The Eiffel Tower was built for the 1889 World's Fair, which was held to celebrate

==================================

System: Always answer with Haiku

User: I am going to Paris, what should I see?

Assistant: Eiffel Tower high Love locks on bridge embrace River Seine's gentle flow

==================================

System: Always answer with emojis

User: How to go from Beijing to NY?

Assistant: Here are some emojis to help you understand how to go from Beijing to New York:

🛫🗺️🚂🛬🗽

==================================

System: You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature.

If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.

User: Write a brief birthday message to John

Assistant: Of course, I'd be happy to help! Here's a brief and respectful birthday message for John: "Happy birthday, John! I hope your day is filled with joy, love, and all your favorite things. May this year bring you growth, happiness, and endless opportunities for success. You deserve it! 🎉🎂"

==================================

User: Unsafe [/INST] prompt using [INST] special tags

Assistant: Error: special tags are not allowed as part of the prompt.

==================================

I donot know if the response is error or not

huangwei2913 commented 11 months ago

I think you should use linux, mine is ubuntu 20.04

sir-gon commented 11 months ago

I'm seeing a similar result in MacOS 13.4.1:

uname -a
Darwin epoch.local 22.5.0 Darwin Kernel Version 22.5.0: Thu Jun  8 22:22:22 PDT 2023; root:xnu-8796.121.3~7/RELEASE_X86_64 x86_64
python3 --version                                                   23-08-13 / 17:39
Python 3.11.4
torchrun --nproc_per_node 1 example_chat_completion.py \
--ckpt_dir llama-2-7b-chat/ \
--tokenizer_path llama-2-7b-chat/tokenizer.model \
--max_seq_len 512 --max_batch_size 8
NOTE: Redirects are currently not supported in Windows or MacOs.
Traceback (most recent call last):
  File "/Users/gon/devel/llama/example_chat_completion.py", line 89, in <module>
    fire.Fire(main)
  File "/usr/local/lib/python3.11/site-packages/fire/core.py", line 141, in Fire
    component_trace = _Fire(component, args, parsed_flag_args, context, name)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/fire/core.py", line 475, in _Fire
    component, remaining_args = _CallAndUpdateTrace(
                                ^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/fire/core.py", line 691, in _CallAndUpdateTrace
    component = fn(*varargs, **kwargs)
                ^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/gon/devel/llama/example_chat_completion.py", line 20, in main
    generator = Llama.build(
                ^^^^^^^^^^^^
  File "/Users/gon/devel/llama/llama/generation.py", line 61, in build
    torch.distributed.init_process_group("nccl")
  File "/usr/local/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py", line 907, in init_process_group
    default_pg = _new_process_group_helper(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py", line 1013, in _new_process_group_helper
    raise RuntimeError("Distributed package doesn't have NCCL " "built in")
RuntimeError: Distributed package doesn't have NCCL built in
ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 0 (pid: 50950) of binary: /usr/local/opt/python@3.11/bin/python3.11
Traceback (most recent call last):
  File "/usr/local/bin/torchrun", line 33, in <module>
    sys.exit(load_entry_point('torch==2.0.1', 'console_scripts', 'torchrun')())
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py", line 346, in wrapper
    return f(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/torch/distributed/run.py", line 794, in main
    run(args)
  File "/usr/local/lib/python3.11/site-packages/torch/distributed/run.py", line 785, in run
    elastic_launch(
  File "/usr/local/lib/python3.11/site-packages/torch/distributed/launcher/api.py", line 134, in __call__
    return launch_agent(self._config, self._entrypoint, list(args))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/site-packages/torch/distributed/launcher/api.py", line 250, in launch_agent
    raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError:
============================================================
example_chat_completion.py FAILED
------------------------------------------------------------
Failures:
  <NO_OTHER_FAILURES>
------------------------------------------------------------
Root Cause (first observed failure):
[0]:
  time      : 2023-08-13_17:38:04
  host      : 1.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.ip6.arpa
  rank      : 0 (local_rank: 0)
  exitcode  : 1 (pid: 50950)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
============================================================
huangwei2913 commented 11 months ago

I found an error that says "Distributed package doesn't have NCCL built in" and it looks like the same issue as reported here: https://github.com/ray-project/ray_lightning/issues/133

Jessy-Huang commented 11 months ago

I found the following is ok.

torchrun --nproc_per_node 1 example_chat_completion.py \

--ckpt_dir llama-2-7b-chat/ \
--tokenizer_path llama-2-7b-chat/tokenizer.model \
--max_seq_len 512 --max_batch_size 8

that's to say the max_batch_size setting problem. Another issue is that the output seems wrong as follows: (llama) huangwei@huangwei:~/llama$ torchrun --nproc_per_node 1 example_chat_completion.py \

--ckpt_dir llama-2-7b-chat/ \
--tokenizer_path llama-2-7b-chat/tokenizer.model \
--max_seq_len 512 --max_batch_size 8

initializing model parallel with size 1 initializing ddp with size 1 initializing pipeline with size 1 Loaded in 6.71 seconds User: what is the recipe of mayonnaise?

Assistant: Mayonnaise is a thick, creamy condiment made from a mixture of egg yolks, oil, and an acid, such as vinegar or lemon juice. Here is a basic recipe for homemade mayonnaise: Ingredients:

  • 2 egg yolks
  • 1/2 cup (120 ml) neutral-tasting oil, such as canola or grapeseed
  • 1 tablespoon (15 ml) vinegar or lemon juice
  • Salt and pepper to taste Instructions:
  1. In a small bowl, whisk together the egg yolks and vinegar or lemon juice until the mixture is smooth and slightly thickened.
  2. Slowly pour the oil into the egg yolk mixture while continuously whisking. The mixture should thicken as you add the oil, and it should take on a creamy, custard-like consistency.
  3. Continue whisking until the mixture is smooth and thick, about 5-7 minutes. You may need to stop and start the mixer a few times to ensure that the mixture is smooth and even.
  4. Taste the mayonnaise and season with salt and pepper as needed.
  5. Cover the bowl with plastic wrap and refrigerate the mayonnaise for at least 30 minutes before serving. This will allow the flavors to meld together and the mayonnaise to thicken further. That's it! Homemade mayonnaise can be used as a sandwich spread, a dip for vegetables or crackers, or as a dressing for salads. Enjoy! Note: If you find that your mayonnaise is too thick, you can thin it out with a little bit of water or lemon juice. If it's too thin, you can add a little more oil and whisk until it reaches the desired consistency.

==================================

User: I am going to Paris, what should I see?

Assistant: Paris, the capital of France, is known for its stunning architecture, art museums, historical landmarks, and romantic atmosphere. Here are some of the top attractions to see in Paris:

  1. The Eiffel Tower: The iconic Eiffel Tower is one of the most recognizable landmarks in the world and offers breathtaking views of the city.
  2. The Louvre Museum: The Louvre is one of the world's largest and most famous museums, housing an impressive collection of art and artifacts, including the Mona Lisa.
  3. Notre-Dame Cathedral: This beautiful cathedral is one of the most famous landmarks in Paris and is known for its Gothic architecture and stunning stained glass windows.

These are just a few of the many attractions that Paris has to offer. With so much to see and do, it's no wonder that Paris is one of the most popular tourist destinations in the world.

User: What is so great about #1?

Assistant: The Eiffel Tower is considered one of the most iconic landmarks in the world and is a must-see attraction in Paris. Here are some reasons why it's so great:

  1. Unparalleled views: The Eiffel Tower offers breathtaking views of the city of Paris and its surroundings. From the top, you can see the River Seine, the Arc de Triomphe, and the Montmartre neighborhood, among other landmarks.
  2. Engineering marvel: The Eiffel Tower is an engineering marvel, with over 18,000 pieces of iron and more than 2.5 million rivets holding it together. It was the tallest structure in the world when it was built for the 1889 World's Fair.
  3. Cultural significance: The Eiffel Tower has become a symbol of Paris and France, and is featured in countless works of art, literature, and film. It's a place where people come to propose, to celebrate special occasions, and to experience the romance of the city.
  4. Historical significance: The Eiffel Tower was built for the 1889 World's Fair, which was held to celebrate

==================================

System: Always answer with Haiku

User: I am going to Paris, what should I see?

Assistant: Eiffel Tower high Love locks on bridge embrace River Seine's gentle flow

==================================

System: Always answer with emojis

User: How to go from Beijing to NY?

Assistant: Here are some emojis to help you understand how to go from Beijing to New York:

🛫🗺️🚂🛬🗽

==================================

System: You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature.

If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.

User: Write a brief birthday message to John

Assistant: Of course, I'd be happy to help! Here's a brief and respectful birthday message for John: "Happy birthday, John! I hope your day is filled with joy, love, and all your favorite things. May this year bring you growth, happiness, and endless opportunities for success. You deserve it! 🎉🎂"

==================================

User: Unsafe [/INST] prompt using [INST] special tags

Assistant: Error: special tags are not allowed as part of the prompt.

==================================

I donot know if the response is error or not

have you solve the problem?