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* add `equal` to tensor * add `__richcmp__` support for tensors and scalars * typo * more typos * Add `abs` + `candle.testing` * remove duplicated `broadcast_shape_binary_op` * `candle.i16` => `candle.i64` * `tensor.nelements` -> `tensor.nelement` * Cleanup `abs`
34 lines
1.1 KiB
Python
34 lines
1.1 KiB
Python
import candle
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from candle import Tensor
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from candle.testing import assert_equal, assert_almost_equal
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import pytest
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@pytest.mark.parametrize("dtype", [candle.f32, candle.f64, candle.f16, candle.u32, candle.u8, candle.i64])
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def test_assert_equal_asserts_correctly(dtype: candle.DType):
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a = Tensor([1, 2, 3]).to(dtype)
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b = Tensor([1, 2, 3]).to(dtype)
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assert_equal(a, b)
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with pytest.raises(AssertionError):
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assert_equal(a, b + 1)
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@pytest.mark.parametrize("dtype", [candle.f32, candle.f64, candle.f16, candle.u32, candle.u8, candle.i64])
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def test_assert_almost_equal_asserts_correctly(dtype: candle.DType):
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a = Tensor([1, 2, 3]).to(dtype)
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b = Tensor([1, 2, 3]).to(dtype)
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assert_almost_equal(a, b)
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with pytest.raises(AssertionError):
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assert_almost_equal(a, b + 1)
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assert_almost_equal(a, b + 1, atol=20)
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assert_almost_equal(a, b + 1, rtol=20)
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with pytest.raises(AssertionError):
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assert_almost_equal(a, b + 1, atol=0.9)
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with pytest.raises(AssertionError):
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assert_almost_equal(a, b + 1, rtol=0.1)
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