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* pickle schedules * Update test_pickle.py * Update test_pickle.py --------- Co-authored-by: George Hotz <72895+geohot@users.noreply.github.com>
51 lines
1.4 KiB
Python
51 lines
1.4 KiB
Python
import unittest, pickle
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import numpy as np
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from tinygrad import Tensor, TinyJit
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from tinygrad.engine.schedule import create_schedule
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class TestPickle(unittest.TestCase):
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def test_pickle_realized_tensor(self):
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t = Tensor.rand(10, 10).realize()
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st = pickle.dumps(t)
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t2:Tensor = pickle.loads(st)
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np.testing.assert_equal(t.numpy(), t2.numpy())
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def test_pickle_unrealized_tensor(self):
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t = Tensor.ones(10, 10)
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st = pickle.dumps(t)
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t2:Tensor = pickle.loads(st)
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np.testing.assert_equal(t.numpy(), t2.numpy())
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def test_pickle_numpy(self):
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t = Tensor(np.array([1,2,3,4.]))
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st = pickle.dumps(t)
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t2:Tensor = pickle.loads(st)
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np.testing.assert_equal(t.numpy(), t2.numpy())
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@unittest.expectedFailure
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def test_pickle_jit(self):
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@TinyJit
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def add(a, b): return a+b+1
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for _ in range(3): add(Tensor.rand(10, 10), Tensor.rand(10, 10))
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#import dill
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#with dill.detect.trace(): dill.dumps(add)
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st = pickle.dumps(add)
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add_fxn = pickle.loads(st)
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x = Tensor.ones(10, 10).contiguous().realize()
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y = Tensor.ones(10, 10).contiguous().realize()
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print("post jit")
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out = add_fxn(x, y)
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np.testing.assert_equal(out.numpy(), 3)
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def test_pickle_schedule(self):
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a = Tensor([1,2])
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out = a + 2
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sched = create_schedule([out.lazydata])
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pk = pickle.dumps(sched)
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sched_pk = pickle.loads(pk)
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assert sched_pk[-1].ast == sched[-1].ast
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if __name__ == '__main__':
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unittest.main()
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