llama.cpp/gguf-py/examples/reader.py
Brian a2ac89d6ef
convert.py : add python logging instead of print() (#6511)
* convert.py: add python logging instead of print()

* convert.py: verbose flag takes priority over dump flag log suppression

* convert.py: named instance logging

* convert.py: use explicit logger id string

* convert.py: convert extra print() to named logger

* convert.py: sys.stderr.write --> logger.error

* *.py: Convert all python scripts to use logging module

* requirements.txt: remove extra line

* flake8: update flake8 ignore and exclude to match ci settings

* gh-actions: add flake8-no-print to flake8 lint step

* pre-commit: add flake8-no-print to flake8 and also update pre-commit version

* convert-hf-to-gguf.py: print() to logger conversion

* *.py: logging basiconfig refactor to use conditional expression

* *.py: removed commented out logging

* fixup! *.py: logging basiconfig refactor to use conditional expression

* constant.py: logger.error then exit should be a raise exception instead

* *.py: Convert logger error and sys.exit() into a raise exception (for atypical error)

* gguf-convert-endian.py: refactor convert_byteorder() to use tqdm progressbar

* verify-checksum-model.py: This is the result of the program, it should be printed to stdout.

* compare-llama-bench.py: add blank line for readability during missing repo response

* reader.py: read_gguf_file() use print() over logging

* convert.py: warning goes to stderr and won't hurt the dump output

* gguf-dump.py: dump_metadata() should print to stdout

* convert-hf-to-gguf.py: print --> logger.debug or ValueError()

* verify-checksum-models.py: use print() for printing table

* *.py: refactor logging.basicConfig()

* gguf-py/gguf/*.py: use __name__ as logger name

Since they will be imported and not run directly.

* python-lint.yml: use .flake8 file instead

* constants.py: logger no longer required

* convert-hf-to-gguf.py: add additional logging

* convert-hf-to-gguf.py: print() --> logger

* *.py: fix flake8 warnings

* revert changes to convert-hf-to-gguf.py for get_name()

* convert-hf-to-gguf-update.py: use triple quoted f-string instead

* *.py: accidentally corrected the wrong line

* *.py: add compilade warning suggestions and style fixes
2024-05-03 22:36:41 +03:00

48 lines
1.5 KiB
Python

#!/usr/bin/env python3
import logging
import sys
from pathlib import Path
from gguf.gguf_reader import GGUFReader
logger = logging.getLogger("reader")
sys.path.insert(0, str(Path(__file__).parent.parent))
def read_gguf_file(gguf_file_path):
"""
Reads and prints key-value pairs and tensor information from a GGUF file in an improved format.
Parameters:
- gguf_file_path: Path to the GGUF file.
"""
reader = GGUFReader(gguf_file_path)
# List all key-value pairs in a columnized format
print("Key-Value Pairs:") # noqa: NP100
max_key_length = max(len(key) for key in reader.fields.keys())
for key, field in reader.fields.items():
value = field.parts[field.data[0]]
print(f"{key:{max_key_length}} : {value}") # noqa: NP100
print("----") # noqa: NP100
# List all tensors
print("Tensors:") # noqa: NP100
tensor_info_format = "{:<30} | Shape: {:<15} | Size: {:<12} | Quantization: {}"
print(tensor_info_format.format("Tensor Name", "Shape", "Size", "Quantization")) # noqa: NP100
print("-" * 80) # noqa: NP100
for tensor in reader.tensors:
shape_str = "x".join(map(str, tensor.shape))
size_str = str(tensor.n_elements)
quantization_str = tensor.tensor_type.name
print(tensor_info_format.format(tensor.name, shape_str, size_str, quantization_str)) # noqa: NP100
if __name__ == '__main__':
if len(sys.argv) < 2:
logger.info("Usage: reader.py <path_to_gguf_file>")
sys.exit(1)
gguf_file_path = sys.argv[1]
read_gguf_file(gguf_file_path)