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https://github.com/ggerganov/llama.cpp.git
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py : logging and flake8 suppression refactoring (#7081)
Set one as executable and add basicConfig() to another. Also added noqa tag to test scripts.
This commit is contained in:
parent
842500144e
commit
6fbd432211
15
.flake8
15
.flake8
@ -1,4 +1,17 @@
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[flake8]
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[flake8]
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max-line-length = 125
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max-line-length = 125
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ignore = E203,E211,E221,E225,E231,E241,E251,E261,E266,E501,E701,E704,W503
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ignore = E203,E211,E221,E225,E231,E241,E251,E261,E266,E501,E701,E704,W503
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exclude = examples/*,examples/*/**,*/**/__init__.py,scripts/gen-unicode-data.py,tests/test-tokenizer-0.py
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exclude =
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# Do not traverse examples
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examples,
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# Do not include package initializers
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__init__.py,
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# No need to traverse our git directory
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.git,
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# There's no value in checking cache directories
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__pycache__,
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# No need to include the build path
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build,
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# This contains builds that we don't want to check
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dist # This is generated with `python build .` for package releases
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# max-complexity = 10
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2
convert-hf-to-gguf-update.py
Normal file → Executable file
2
convert-hf-to-gguf-update.py
Normal file → Executable file
@ -1,3 +1,5 @@
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#!/usr/bin/env python3
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# This script downloads the tokenizer models of the specified models from Huggingface and
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# This script downloads the tokenizer models of the specified models from Huggingface and
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# generates the get_vocab_base_pre() function for convert-hf-to-gguf.py
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# generates the get_vocab_base_pre() function for convert-hf-to-gguf.py
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#
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#
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@ -16,6 +16,7 @@ if 'NO_LOCAL_GGUF' not in os.environ:
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sys.path.insert(1, str(Path(__file__).parent / 'gguf-py' / 'gguf'))
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sys.path.insert(1, str(Path(__file__).parent / 'gguf-py' / 'gguf'))
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import gguf
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import gguf
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logging.basicConfig(level=logging.DEBUG)
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logger = logging.getLogger("lora-to-gguf")
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logger = logging.getLogger("lora-to-gguf")
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NUMPY_TYPE_TO_FTYPE: dict[str, int] = {"float32": 0, "float16": 1}
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NUMPY_TYPE_TO_FTYPE: dict[str, int] = {"float32": 0, "float16": 1}
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@ -41,20 +41,20 @@ def get_matches(regex_expr):
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def print_cat(cat, ranges):
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def print_cat(cat, ranges):
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print("const std::vector<std::pair<uint32_t, uint32_t>> unicode_ranges_{} = {{".format(cat))
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print("const std::vector<std::pair<uint32_t, uint32_t>> unicode_ranges_{} = {{".format(cat)) # noqa: NP100
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cnt = 0
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cnt = 0
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for start, end in ranges:
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for start, end in ranges:
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if cnt % 4 != 0:
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if cnt % 4 != 0:
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print(" ", end="")
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print(" ", end="") # noqa: NP100
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print("{{0x{:08X}, 0x{:08X}}},".format(start, end), end="")
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print("{{0x{:08X}, 0x{:08X}}},".format(start, end), end="") # noqa: NP100
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if cnt % 4 == 3:
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if cnt % 4 == 3:
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print("")
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print("") # noqa: NP100
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cnt += 1
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cnt += 1
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if cnt % 4 != 0:
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if cnt % 4 != 0:
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print("")
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print("") # noqa: NP100
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print("};")
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print("};") # noqa: NP100
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print("")
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print("") # noqa: NP100
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print_cat("number", get_matches(r'\p{N}'))
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print_cat("number", get_matches(r'\p{N}'))
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@ -13,7 +13,7 @@ fname_tok = args.fname_tok
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tokenizer = AutoTokenizer.from_pretrained(dir_tokenizer)
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tokenizer = AutoTokenizer.from_pretrained(dir_tokenizer)
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print('tokenizing file: ', fname_tok)
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print('tokenizing file: ', fname_tok) # noqa: NP100
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fname_out = fname_tok + '.tok'
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fname_out = fname_tok + '.tok'
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with open(fname_tok, 'r', encoding='utf-8') as f:
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with open(fname_tok, 'r', encoding='utf-8') as f:
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lines = f.readlines()
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lines = f.readlines()
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@ -21,7 +21,7 @@ with open(fname_tok, 'r', encoding='utf-8') as f:
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t_start = time.time()
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t_start = time.time()
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res = tokenizer.encode(s, add_special_tokens=False)
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res = tokenizer.encode(s, add_special_tokens=False)
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t_end = time.time()
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t_end = time.time()
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print('\nmain : tokenized in', "{:.3f}".format(1000.0 * (t_end - t_start)), 'ms (py)')
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print('\nmain : tokenized in', "{:.3f}".format(1000.0 * (t_end - t_start)), 'ms (py)') # noqa: NP100
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with open(fname_out, 'w', encoding='utf-8') as f:
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with open(fname_out, 'w', encoding='utf-8') as f:
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for x in res:
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for x in res:
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# LLaMA v3 for some reason strips the space for these tokens (and others)
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# LLaMA v3 for some reason strips the space for these tokens (and others)
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@ -41,6 +41,6 @@ with open(fname_tok, 'r', encoding='utf-8') as f:
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# f.write(str(x) + ' \'' + tokenizer.decode(x) + '\'\n')
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# f.write(str(x) + ' \'' + tokenizer.decode(x) + '\'\n')
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# f.write(str(x) + ' \'' + tokenizer.decode(x).strip() + '\'\n')
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# f.write(str(x) + ' \'' + tokenizer.decode(x).strip() + '\'\n')
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f.write(str(x) + '\n')
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f.write(str(x) + '\n')
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print('len(res): ', len(res))
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print('len(res): ', len(res)) # noqa: NP100
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print('len(lines): ', len(lines))
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print('len(lines): ', len(lines)) # noqa: NP100
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print('results written to: ', fname_out)
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print('results written to: ', fname_out) # noqa: NP100
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