From 59a615b3869eb8488a748e2aa51224a5e3d366bb Mon Sep 17 00:00:00 2001
From: Titus von Koeller <titus@vonkoeller.com>
Date: Tue, 2 Aug 2022 21:26:50 -0700
Subject: factored cuda_setup.main out into smaller modules and functions

---
 bitsandbytes/__main__.py | 97 +++++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 95 insertions(+), 2 deletions(-)

(limited to 'bitsandbytes/__main__.py')

diff --git a/bitsandbytes/__main__.py b/bitsandbytes/__main__.py
index a91e942..7f3d24c 100644
--- a/bitsandbytes/__main__.py
+++ b/bitsandbytes/__main__.py
@@ -1,3 +1,96 @@
-from bitsandbytes.debug_cli import cli
+# from bitsandbytes.debug_cli import cli
 
-cli()
+# cli()
+import os
+import sys
+import torch
+
+
+HEADER_WIDTH = 60
+
+
+def print_header(
+    txt: str, width: int = HEADER_WIDTH, filler: str = "+"
+) -> None:
+    txt = f" {txt} " if txt else ""
+    print(txt.center(width, filler))
+
+
+def print_debug_info() -> None:
+    print(
+        "\nAbove we output some debug information. Please provide this info when "
+        f"creating an issue via {PACKAGE_GITHUB_URL}/issues/new/choose ...\n"
+    )
+
+
+print_header("")
+print_header("DEBUG INFORMATION")
+print_header("")
+print()
+
+
+from . import COMPILED_WITH_CUDA, PACKAGE_GITHUB_URL
+from .cuda_setup.main import get_compute_capabilities
+from .cuda_setup.env_vars import to_be_ignored
+from .utils import print_stderr
+
+
+print_header("POTENTIALLY LIBRARY-PATH-LIKE ENV VARS")
+for k, v in os.environ.items():
+    if "/" in v and not to_be_ignored(k, v):
+        print(f"'{k}': '{v}'")
+print_header("")
+
+print(
+    "\nWARNING: Please be sure to sanitize sensible info from any such env vars!\n"
+)
+
+print_header("OTHER")
+print(f"{COMPILED_WITH_CUDA = }")
+print(f"COMPUTE_CAPABILITIES_PER_GPU = {get_compute_capabilities()}")
+print_header("")
+print_header("DEBUG INFO END")
+print_header("")
+print(
+    """
+Running a quick check that:
+    + library is importable
+    + CUDA function is callable
+"""
+)
+
+try:
+    from bitsandbytes.optim import Adam
+
+    p = torch.nn.Parameter(torch.rand(10, 10).cuda())
+    a = torch.rand(10, 10).cuda()
+
+    p1 = p.data.sum().item()
+
+    adam = Adam([p])
+
+    out = a * p
+    loss = out.sum()
+    loss.backward()
+    adam.step()
+
+    p2 = p.data.sum().item()
+
+    assert p1 != p2
+    print("SUCCESS!")
+    print("Installation was successful!")
+    sys.exit(0)
+
+except ImportError:
+    print()
+    print_stderr(
+        f"WARNING: {__package__} is currently running as CPU-only!\n"
+        "Therefore, 8-bit optimizers and GPU quantization are unavailable.\n\n"
+        f"If you think that this is so erroneously,\nplease report an issue!"
+    )
+    print_debug_info()
+    sys.exit(0)
+except Exception as e:
+    print(e)
+    print_debug_info()
+    sys.exit(1)
-- 
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