97 lines
2.1 KiB
Python
97 lines
2.1 KiB
Python
# from bitsandbytes.debug_cli import cli
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# cli()
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import os
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import sys
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import torch
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HEADER_WIDTH = 60
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def print_header(
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txt: str, width: int = HEADER_WIDTH, filler: str = "+"
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) -> None:
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txt = f" {txt} " if txt else ""
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print(txt.center(width, filler))
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def print_debug_info() -> None:
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print(
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"\nAbove we output some debug information. Please provide this info when "
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f"creating an issue via {PACKAGE_GITHUB_URL}/issues/new/choose ...\n"
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)
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print_header("")
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print_header("DEBUG INFORMATION")
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print_header("")
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print()
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from . import COMPILED_WITH_CUDA, PACKAGE_GITHUB_URL
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from .cuda_setup.main import get_compute_capabilities
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from .cuda_setup.env_vars import to_be_ignored
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from .utils import print_stderr
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print_header("POTENTIALLY LIBRARY-PATH-LIKE ENV VARS")
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for k, v in os.environ.items():
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if "/" in v and not to_be_ignored(k, v):
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print(f"'{k}': '{v}'")
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print_header("")
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print(
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"\nWARNING: Please be sure to sanitize sensible info from any such env vars!\n"
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)
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print_header("OTHER")
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print(f"{COMPILED_WITH_CUDA = }")
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print(f"COMPUTE_CAPABILITIES_PER_GPU = {get_compute_capabilities()}")
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print_header("")
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print_header("DEBUG INFO END")
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print_header("")
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print(
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"""
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Running a quick check that:
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+ library is importable
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+ CUDA function is callable
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"""
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)
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try:
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from bitsandbytes.optim import Adam
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p = torch.nn.Parameter(torch.rand(10, 10).cuda())
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a = torch.rand(10, 10).cuda()
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p1 = p.data.sum().item()
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adam = Adam([p])
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out = a * p
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loss = out.sum()
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loss.backward()
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adam.step()
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p2 = p.data.sum().item()
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assert p1 != p2
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print("SUCCESS!")
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print("Installation was successful!")
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sys.exit(0)
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except ImportError:
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print()
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print_stderr(
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f"WARNING: {__package__} is currently running as CPU-only!\n"
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"Therefore, 8-bit optimizers and GPU quantization are unavailable.\n\n"
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f"If you think that this is so erroneously,\nplease report an issue!"
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)
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print_debug_info()
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sys.exit(0)
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except Exception as e:
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print(e)
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print_debug_info()
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sys.exit(1)
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