mirror of
https://github.com/ml-explore/mlx.git
synced 2025-06-24 17:31:16 +08:00
8993382aaa
* buffer donation * fix to move shared pointer * format * gpu in place for copy and binary * revert ops test * cpu in place * a little cleanup * remove useless bench
74 lines
2.3 KiB
Python
74 lines
2.3 KiB
Python
# Copyright © 2023 Apple Inc.
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import os
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import platform
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import unittest
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from typing import Any, Callable, List, Tuple, Union
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import mlx.core as mx
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import numpy as np
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class MLXTestCase(unittest.TestCase):
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@property
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def is_linux(self):
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return platform.system() == "Linux"
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def setUp(self):
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self.default = mx.default_device()
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device = os.getenv("DEVICE", None)
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if device is not None:
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device = getattr(mx, device)
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mx.set_default_device(device)
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def tearDown(self):
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mx.set_default_device(self.default)
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# Note if a tuple is passed into args, it will be considered a shape request and convert to a mx.random.normal with the shape matching the tuple
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def assertCmpNumpy(
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self,
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args: List[Union[Tuple[int], Any]],
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mx_fn: Callable[..., mx.array],
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np_fn: Callable[..., np.array],
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atol=1e-2,
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rtol=1e-2,
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dtype=mx.float32,
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**kwargs,
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):
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assert dtype != mx.bfloat16, "numpy does not support bfloat16"
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args = [
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mx.random.normal(s, dtype=dtype) if isinstance(s, Tuple) else s
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for s in args
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]
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mx_res = mx_fn(*args, **kwargs)
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np_res = np_fn(
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*[np.array(a) if isinstance(a, mx.array) else a for a in args], **kwargs
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)
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return self.assertEqualArray(mx_res, mx.array(np_res), atol=atol, rtol=rtol)
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def assertEqualArray(
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self,
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mx_res: mx.array,
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expected: mx.array,
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atol=1e-2,
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rtol=1e-2,
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):
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self.assertEqual(
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tuple(mx_res.shape),
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tuple(expected.shape),
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msg=f"shape mismatch expected={expected.shape} got={mx_res.shape}",
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)
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self.assertEqual(
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mx_res.dtype,
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expected.dtype,
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msg=f"dtype mismatch expected={expected.dtype} got={mx_res.dtype}",
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)
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if not isinstance(mx_res, mx.array) and not isinstance(expected, mx.array):
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np.testing.assert_allclose(mx_res, expected, rtol=rtol, atol=atol)
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return
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elif not isinstance(mx_res, mx.array):
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mx_res = mx.array(mx_res)
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elif not isinstance(expected, mx.array):
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expected = mx.array(expected)
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self.assertTrue(mx.allclose(mx_res, expected, rtol=rtol, atol=atol))
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