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c0a033f01d
* remove real_offset * pass in numnode * remove that real_offset * sample only for variable
22 lines
820 B
Python
22 lines
820 B
Python
import unittest
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import numpy as np
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from tinygrad.tensor import Tensor
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from tinygrad.ops import Device
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from tinygrad.shape.symbolic import Variable
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@unittest.skipUnless(Device.DEFAULT in ["GPU", "METAL", "CLANG", "CUDA", "LLVM"], f"{Device.DEFAULT} is not supported")
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class TestSample(unittest.TestCase):
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def test_sample(self):
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X = Tensor.rand(10000, 50).realize()
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BS = 16
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idxs = np.random.randint(0, X.shape[0], size=(BS))
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# this uncovered a bug with arg sort order
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batch = [Variable(f'idx{i}', 0, X.shape[0]-1).bind(s) for i,s in enumerate(idxs.tolist())]
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x = Tensor.cat(*[X.shrink(((batch[i], batch[i]+1), (0,X.shape[1]))) for i in range(BS)])
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print(idxs)
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ret = x.numpy()
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base = X.numpy()[idxs]
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np.testing.assert_equal(ret, base)
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if __name__ == '__main__':
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unittest.main() |