adding CLI tool for CUDA install debugging - intermediate commit

bitsandbytes/__main__.py

@@ -0,0 +1,3 @@
+from bitsandbytes.debug_cli import cli
+
+cli()

bitsandbytes/cuda_setup.py

@@ -0,0 +1,83 @@
+"""
+build is dependent on
+- compute capability
+    - dependent on GPU family
+- CUDA version
+- Software:
+    - CPU-only: only CPU quantization functions (no optimizer, no matrix multipl)
+    - CuBLAS-LT: full-build 8-bit optimizer
+    - no CuBLAS-LT: no 8-bit matrix multiplication (`nomatmul`)
+
+alle Binaries packagen
+
+evaluation:
+    - if paths faulty, return meaningful error
+    - else:
+        - determine CUDA version
+        - determine capabilities
+        - based on that set the default path
+"""
+
+from os import environ as env
+from pathlib import Path
+from typing import Set, Union
+from .utils import warn_of_missing_prerequisite, print_err
+
+
+CUDA_RUNTIME_LIB: str = "libcudart.so"
+
+def tokenize_paths(paths: str) -> Set[Path]:
+    return {
+        Path(ld_path) for ld_path in paths.split(':')
+        if ld_path
+    }
+
+def get_cuda_runtime_lib_path(
+    # TODO: replace this with logic for all paths in env vars
+    LD_LIBRARY_PATH: Union[str, None] = env.get("LD_LIBRARY_PATH")
+) -> Union[Path, None]:
+    """ # TODO: add doc-string
+    """
+
+    if not LD_LIBRARY_PATH:
+        warn_of_missing_prerequisite(
+            'LD_LIBRARY_PATH is completely missing from environment!'
+        )
+        return None
+
+    ld_library_paths: Set[Path] = tokenize_paths(LD_LIBRARY_PATH)
+
+    non_existent_directories: Set[Path]  = {
+        path for path in ld_library_paths
+        if not path.exists()
+    }
+
+    if non_existent_directories:
+        print_err(
+            "WARNING: The following directories listed your path were found to "
+            f"be non-existent: {non_existent_directories}"
+        )
+
+    cuda_runtime_libs: Set[Path] = {
+        path / CUDA_RUNTIME_LIB for path in ld_library_paths
+        if (path / CUDA_RUNTIME_LIB).is_file()
+    } - non_existent_directories
+
+    if len(cuda_runtime_libs) > 1:
+        err_msg = f"Found duplicate {CUDA_RUNTIME_LIB} files: {cuda_runtime_libs}.."
+        raise FileNotFoundError(err_msg)
+
+    elif len(cuda_runtime_libs) < 1:
+        err_msg = f"Did not find {CUDA_RUNTIME_LIB} files: {cuda_runtime_libs}.."
+        raise FileNotFoundError(err_msg)
+
+    single_cuda_runtime_lib_dir = next(iter(cuda_runtime_libs))
+    return ld_library_paths
+
+def evaluate_cuda_setup():
+    # - if paths faulty, return meaningful error
+    # - else:
+    #     - determine CUDA version
+    #     - determine capabilities
+    #     - based on that set the default path
+    pass

bitsandbytes/debug_cli.py

@@ -0,0 +1,27 @@
+import typer
+
+
+cli = typer.Typer()
+
+
+@cli.callback()
+def callback():
+    """
+    Awesome Portal Gun
+    """
+
+
+@cli.command()
+def shoot():
+    """
+    Shoot the portal gun
+    """
+    typer.echo("Shooting portal gun")
+
+
+@cli.command()
+def load():
+    """
+    Load the portal gun
+    """
+    typer.echo("Loading portal gun")

bitsandbytes/utils.py

@@ -0,0 +1,7 @@
+import sys
+
+def print_err(s: str) -> None:
+    print(s, file=sys.stderr)
+
+def warn_of_missing_prerequisite(s: str) -> None:
+    print_err('WARNING, missing pre-requisite: ' + s)

environment.yml

@@ -0,0 +1,14 @@
+name: 8-bit
+channels:
+  - conda-forge
+dependencies:
+  - python=3.9
+  - pytest
+  - pytorch
+  - torchaudio
+  - torchvision
+  - cudatoolkit=11.1
+  - typer
+  - ca-certificates
+  - certifi
+  - openssl

setup.py

@@ -23,6 +23,9 @@ setup(
     keywords="gpu optimizers optimization 8-bit quantization compression",
     url="http://packages.python.org/bitsandbytes",
     packages=find_packages(),
+    entry_points={
+        "console_scripts": ["debug_cuda = bitsandbytes.debug_cli:cli"],
+    },
     package_data={'': ['libbitsandbytes.so']},
     long_description=read('README.md'),
     long_description_content_type='text/markdown',

tests/test_cuda_setup_evaluator.py

@@ -0,0 +1,66 @@
+import pytest
+
+from typing import List
+
+from bitsandbytes.cuda_setup import (
+    CUDA_RUNTIME_LIB,
+    get_cuda_runtime_lib_path,
+    evaluate_cuda_setup,
+    tokenize_paths,
+)
+
+
+HAPPY_PATH__LD_LIB_TEST_PATHS: List[tuple[str,str]] = [
+    (f"some/other/dir:dir/with/{CUDA_RUNTIME_LIB}", f"dir/with/{CUDA_RUNTIME_LIB}"),
+    (f":some/other/dir:dir/with/{CUDA_RUNTIME_LIB}", f"dir/with/{CUDA_RUNTIME_LIB}"),
+    (f"some/other/dir:dir/with/{CUDA_RUNTIME_LIB}:", f"dir/with/{CUDA_RUNTIME_LIB}"),
+    (f"some/other/dir::dir/with/{CUDA_RUNTIME_LIB}", f"dir/with/{CUDA_RUNTIME_LIB}"),
+    (f"dir/with/{CUDA_RUNTIME_LIB}:some/other/dir", f"dir/with/{CUDA_RUNTIME_LIB}"),
+]
+
+
+@pytest.mark.parametrize(
+    "test_input, expected",
+    HAPPY_PATH__LD_LIB_TEST_PATHS
+)
+def test_get_cuda_runtime_lib_path__happy_path(
+        tmp_path, test_input: str, expected: str
+):
+    for path in tokenize_paths(test_input):
+        assert False == tmp_path / test_input
+        test_dir.mkdir()
+        (test_input / CUDA_RUNTIME_LIB).touch()
+    assert get_cuda_runtime_lib_path(test_input) == expected
+
+
+UNHAPPY_PATH__LD_LIB_TEST_PATHS = [
+    f"a/b/c/{CUDA_RUNTIME_LIB}:d/e/f/{CUDA_RUNTIME_LIB}",
+    f"a/b/c/{CUDA_RUNTIME_LIB}:d/e/f/{CUDA_RUNTIME_LIB}:g/h/j/{CUDA_RUNTIME_LIB}",
+]
+
+
+@pytest.mark.parametrize("test_input", UNHAPPY_PATH__LD_LIB_TEST_PATHS)
+def test_get_cuda_runtime_lib_path__unhappy_path(tmp_path, test_input: str):
+    test_input = tmp_path / test_input
+    (test_input / CUDA_RUNTIME_LIB).touch()
+    with pytest.raises(FileNotFoundError) as err_info:
+        get_cuda_runtime_lib_path(test_input)
+    assert all(
+        match in err_info 
+        for match in {"duplicate", CUDA_RUNTIME_LIB}
+    )
+
+
+def test_get_cuda_runtime_lib_path__non_existent_dir(capsys, tmp_path):
+    existent_dir = tmp_path / 'a/b'
+    existent_dir.mkdir()
+    non_existent_dir = tmp_path / 'c/d' # non-existent dir
+    test_input = ":".join([str(existent_dir), str(non_existent_dir)])
+
+    get_cuda_runtime_lib_path(test_input)
+    std_err = capsys.readouterr().err
+
+    assert all(
+        match in std_err 
+        for match in {"WARNING", "non-existent"}
+    )