a6dc10dad2* Reduce and tighten comments and docstrings in tests Shorten verbose comments and docstrings across the test suite without changing any test logic. Remove narration that restates the next line, collapse long module and test docstrings to a single line, and drop banner separators. Keep regression context (issue and PR references, run ids), skip reasons, mocking and timing rationale, license headers, lint and type directives, and commented-out code. Comments and docstrings only: an AST signature check confirms no code, assertions, or string literals changed, and the suite byte-compiles cleanly. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
112 lines
4.4 KiB
Python
112 lines
4.4 KiB
Python
# Copyright 2023-present Daniel Han-Chen, Michael Han-Chen & the Unsloth team. All rights reserved.
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU Lesser General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU Lesser General Public License
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# along with this program. If not, see <https://www.gnu.org/licenses/>.
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"""Tests for trunc_normal low-precision patch compatibility."""
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import importlib.util
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import inspect
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from pathlib import Path
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import pytest
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import torch
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_MISSING = object()
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def _load_import_fixes_module():
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repo_root = Path(__file__).resolve().parents[2]
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import_fixes_path = repo_root / "unsloth" / "import_fixes.py"
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spec = importlib.util.spec_from_file_location("unsloth_import_fixes_local", import_fixes_path)
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assert spec is not None and spec.loader is not None
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module = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(module)
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return module
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def _getattr_or_missing(obj, name):
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return getattr(obj, name) if hasattr(obj, name) else _MISSING
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def _restore_attr(obj, name, value):
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if value is _MISSING:
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if hasattr(obj, name):
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delattr(obj, name)
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return
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setattr(obj, name, value)
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def test_trunc_normal_patch_accepts_positional_generator():
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import_fixes = _load_import_fixes_module()
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patch_fn = import_fixes.patch_trunc_normal_precision_issue
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init_mod = torch.nn.init
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old_fn = init_mod.trunc_normal_
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old_patched = _getattr_or_missing(init_mod, "_unsloth_trunc_normal_patched")
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old_original = _getattr_or_missing(init_mod, "_unsloth_trunc_normal_original")
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try:
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# Reset to an unpatched baseline before applying the patch.
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if old_original is not _MISSING:
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init_mod.trunc_normal_ = old_original
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if hasattr(init_mod, "_unsloth_trunc_normal_patched"):
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delattr(init_mod, "_unsloth_trunc_normal_patched")
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if hasattr(init_mod, "_unsloth_trunc_normal_original"):
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delattr(init_mod, "_unsloth_trunc_normal_original")
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patch_fn()
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sig = inspect.signature(init_mod.trunc_normal_)
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assert "generator" in sig.parameters
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assert sig.parameters["generator"].kind is not inspect.Parameter.KEYWORD_ONLY
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tensor = torch.empty(1024, dtype = torch.float32)
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gen = torch.Generator()
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gen.manual_seed(3407)
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init_mod.trunc_normal_(tensor, 0.0, 1.0, -2.0, 2.0, gen)
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init_mod.trunc_normal_(tensor, mean = 0.0, std = 1.0, a = -2.0, b = 2.0, generator = gen)
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finally:
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init_mod.trunc_normal_ = old_fn
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_restore_attr(init_mod, "_unsloth_trunc_normal_patched", old_patched)
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_restore_attr(init_mod, "_unsloth_trunc_normal_original", old_original)
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def test_trunc_normal_patch_rejects_invalid_generator():
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import_fixes = _load_import_fixes_module()
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patch_fn = import_fixes.patch_trunc_normal_precision_issue
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init_mod = torch.nn.init
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old_fn = init_mod.trunc_normal_
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old_patched = _getattr_or_missing(init_mod, "_unsloth_trunc_normal_patched")
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old_original = _getattr_or_missing(init_mod, "_unsloth_trunc_normal_original")
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try:
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if old_original is not _MISSING:
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init_mod.trunc_normal_ = old_original
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if hasattr(init_mod, "_unsloth_trunc_normal_patched"):
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delattr(init_mod, "_unsloth_trunc_normal_patched")
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if hasattr(init_mod, "_unsloth_trunc_normal_original"):
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delattr(init_mod, "_unsloth_trunc_normal_original")
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patch_fn()
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sig = inspect.signature(init_mod.trunc_normal_)
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if "generator" not in sig.parameters:
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pytest.skip("torch.nn.init.trunc_normal_ lacks a generator parameter")
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tensor = torch.empty(16, dtype = torch.float32)
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with pytest.raises(TypeError):
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init_mod.trunc_normal_(tensor, generator = 123)
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finally:
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init_mod.trunc_normal_ = old_fn
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_restore_attr(init_mod, "_unsloth_trunc_normal_patched", old_patched)
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_restore_attr(init_mod, "_unsloth_trunc_normal_original", old_original)
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