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d3378010ee
* schedule_with_vars -> linear_with_vars in tests * tests batch 1 * batch 2 * estimate_uop * simpler * rm
42 lines
1.1 KiB
Python
42 lines
1.1 KiB
Python
import unittest
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from tinygrad import Tensor, Variable, Context
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from tinygrad.helpers import cpu_events
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from tinygrad.schedule import schedule_cache
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def schedule_one():
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Tensor([1]).schedule_linear()
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class TestScheduleCache(unittest.TestCase):
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def test_bound_variable_var_vals(self):
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v = Variable('pos', 1, 100)
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x = Tensor.ones(10).contiguous().realize()
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t = x + Tensor(v.bind(42))
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_, var_vals = t.linear_with_vars()
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self.assertEqual(var_vals, {'pos': 42})
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def test_disable_schedule_cache(self):
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schedule_cache.clear()
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# test write
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with Context(SCACHE=0): schedule_one()
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self.assertEqual(len(schedule_cache), 0)
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with Context(SCACHE=1):
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schedule_one()
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schedule_one()
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self.assertEqual(len(schedule_cache), 1)
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# test read
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with Context(PROFILE=1):
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cpu_events.clear()
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with Context(SCACHE=0): schedule_one()
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num_events_no_cache = len(cpu_events)
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cpu_events.clear()
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with Context(SCACHE=1): schedule_one()
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num_events_cache = len(cpu_events)
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self.assertLess(num_events_cache, num_events_no_cache)
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if __name__ == "__main__":
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unittest.main()
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