mirror of
https://github.com/tinygrad/tinygrad.git
synced 2026-02-19 02:44:40 -05:00
c3cf17c6d0
* render symbolic * valid * fix shapetracker tests * render_python is the default * expr is gone * remove legacy behavior
288 lines
8.1 KiB
Python
288 lines
8.1 KiB
Python
#!/usr/bin/env python
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import unittest
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import numpy as np
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from tinygrad.helpers import prod
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from tinygrad.shape import ShapeTracker, ZeroView
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class DumbShapeTracker:
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def __init__(self, shape):
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self.t = np.arange(prod(shape), dtype=np.uint8).reshape(shape)
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@property
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def shape(self):
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return self.t.shape
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def reshape(self, new_shape):
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self.t = self.t.reshape(new_shape)
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def permute(self, axis):
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self.t = np.transpose(self.t, axis)
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def expand(self, new_shape):
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self.t = np.broadcast_to(self.t, new_shape)
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def flip(self, axis):
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self.t = np.flip(self.t, axis)
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def shrink(self, arg):
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self.t = self.t[tuple([slice(x[0], x[1]) for x in arg])]
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def stride(self, arg):
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self.t = self.t[tuple([slice(None, None, x) for x in arg])]
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def __getitem__(self, val):
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return self.t.flatten()[val]
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# Tensor.zeros(2, 4).permute(1,0).reshape(2, 4)
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# (d1*4 + d0%4), d1=x//4, d0=x%4 = ((x//4)*4) + (x%4)%4
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class TestZeroViewShapeTracker(unittest.TestCase):
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def test_pad(self):
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self.st = ShapeTracker((4, 4))
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self.st.pad(((1, 1), (1, 1)))
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assert self.st.shape == (6,6)
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compareZv = ZeroView((4,4), ((-1,5), (-1,5)))
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assert str(self.st.views[1]) == str(compareZv)
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class TestComplexShapeTracker(unittest.TestCase):
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def test_add_1s(self):
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self.st = ShapeTracker((4, 4))
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self.st.permute((1,0))
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self.st.reshape((1,4,1,4,1))
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assert not self.st.contiguous
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self.st.permute((0,3,2,1,4))
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assert self.st.contiguous
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def test_permute_1s_simple(self):
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self.st = ShapeTracker((1, 16, 9,9))
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self.st.permute((1,0,2,3))
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assert self.st.contiguous
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self.st = ShapeTracker((2, 16, 9,9))
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self.st.permute((1,0,2,3))
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assert not self.st.contiguous
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def test_remove_1s_simple(self):
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self.st = ShapeTracker((1, 16, 1, 1))
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self.st.reshape((16,))
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assert self.st.contiguous
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def test_remove_1s(self):
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self.st = ShapeTracker((1, 4, 1, 4, 1))
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self.st.permute((0,3,2,1,4))
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self.st.reshape((4,4))
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assert not self.st.contiguous
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self.st.permute((1,0))
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assert self.st.contiguous
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def test_permute_reshape(self):
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self.st = ShapeTracker((4, 4))
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self.st.permute((1,0))
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self.st.reshape((2, 2, 2, 2))
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# TODO: should also be tested by test_super_complex
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assert len(self.st.views) == 1
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def test_factorize_split(self):
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self.st = ShapeTracker((4, 4))
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self.st.permute((1,0))
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self.st.reshape((2, 2, 2, 2))
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self.st.permute((2,3,0,1))
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assert self.st.contiguous
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def test_factorize_combine(self):
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self.st = ShapeTracker((4, 4, 4))
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self.st.permute((2, 0, 1))
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self.st.reshape((4, 16))
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self.st.permute((1, 0))
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assert self.st.contiguous
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def test_factorize_combine_add_ones(self):
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self.st = ShapeTracker((4, 4, 4))
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self.st.permute((2, 0, 1))
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self.st.reshape((4, 16, 1, 1))
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self.st.permute((1, 0, 2, 3))
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assert self.st.contiguous
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def test_fancy_factorize(self):
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self.st = ShapeTracker((32, 3, 3, 1))
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self.st.strided(tuple(zip((32, 3, 3, 1), (1, 4096, 32, 1))))
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self.st.reshape((8, 4, 3, 3))
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assert len(self.st.views) == 1
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def test_super_complex_2_fail(self):
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self.st = ShapeTracker((4, 4, 4))
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self.st.permute((2, 0, 1))
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self.st.reshape((16, 4))
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assert len(self.st.views) != 1
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def test_work(self):
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self.st = ShapeTracker((64, 1024, 4))
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self.st.reshape((1, 64, 128, 32))
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self.st.permute((0, 3, 1, 2))
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self.st.reshape((1, 32, 1, 64, 128))
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self.st.permute((0, 3, 4, 1, 2))
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assert self.st.contiguous
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def test_work2(self):
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self.st = ShapeTracker((64, 1024, 4))
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self.st.reshape((1, 64, 128, 32))
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self.st.permute((0, 3, 1, 2))
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self.st.reshape((1, 1, 32, 64, 128))
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self.st.permute((0, 3, 4, 1, 2))
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self.st.reshape((64, 1024, 4))
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print(self.st.views)
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assert self.st.contiguous
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class TestSingleShapeTracker(unittest.TestCase):
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def setUp(self):
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self.st = ShapeTracker((7,4))
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def test_reshape(self):
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self.st.reshape((7,1,4))
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assert self.st.contiguous
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def test_permute(self):
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self.st.permute((1,0))
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assert not self.st.contiguous
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def test_shrink(self):
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self.st.shrink(((1,2), (0,4)))
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assert not self.st.contiguous
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def test_double_permute(self):
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self.st.permute((1,0))
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self.st.permute((1,0))
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assert self.st.contiguous
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def test_reshape_permute(self):
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self.st.reshape((7,1,4))
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self.st.permute((0,1,2))
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assert self.st.contiguous
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def test_reshape_permute_yes(self):
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self.st.reshape((7,1,4))
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self.st.permute((0,2,1))
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assert self.st.contiguous
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def test_reshape_permute_no(self):
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self.st.reshape((4,7))
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self.st.permute((1,0))
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assert not self.st.contiguous
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def shapetracker_getitem(st, val):
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locals = {"idx": val, "valid": 1}
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idx, valid = st.expr_node()
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exec(f"valid={valid.render()};idx={idx.render()}", None, locals)
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return locals["idx"] if locals["valid"] else -1
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class TestShapeTracker(unittest.TestCase):
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def setUp(self):
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self.st = ShapeTracker((7,4))
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self.dt = DumbShapeTracker((7,4))
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self.apply = lambda fxn: [fxn(x) for x in [self.st, self.dt]]
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def tearDown(self):
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x = [shapetracker_getitem(self.st, i) for i in range(prod(self.st.shape))]
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y = [self.dt[i] for i in range(prod(self.dt.shape))]
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idx, valid = self.st.expr_node()
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print(x,y, self.st.shape, self.dt.shape, idx.render(), valid.render())
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assert self.st.shape == self.dt.shape
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assert x == y
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def test_noop(self):
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pass
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def test_simple_split(self):
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self.test_permute()
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self.apply(lambda x: x.reshape((prod(self.st.shape), )))
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def test_reshape(self):
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assert self.st.shape == self.dt.shape
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new_shape = self.st.shape[::-1]
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self.apply(lambda x: x.reshape(new_shape))
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def test_permute(self):
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assert self.st.shape == self.dt.shape
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if len(self.st.shape) == 2: self.apply(lambda x: x.permute((1,0)))
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elif len(self.st.shape) == 3: self.apply(lambda x: x.permute((2,0,1)))
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def test_reshape_with_1(self):
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assert self.st.shape == self.dt.shape
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new_shape = (self.st.shape[0], 1, self.st.shape[1])
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self.apply(lambda x: x.reshape(new_shape))
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def test_expand(self):
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self.test_reshape_with_1()
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new_shape = list(self.st.shape)
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new_shape[1] = 2
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self.apply(lambda x: x.expand(tuple(new_shape)))
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def test_flip_0(self):
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self.apply(lambda x: x.flip((0,)))
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def test_flip_1(self):
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self.apply(lambda x: x.flip((1,)))
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def test_flip_01(self):
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self.apply(lambda x: x.flip((0,1)))
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def test_slice_0(self):
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self.apply(lambda x: x.shrink(((1, x.shape[0]), (0, x.shape[1]))))
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def test_slice_1(self):
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self.apply(lambda x: x.shrink(((0, x.shape[0]), (1, x.shape[1]))))
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def test_slice_1c1(self):
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self.apply(lambda x: x.shrink(((0, 1), (0, 1))))
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def test_slice_1c2(self):
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self.apply(lambda x: x.shrink(((1, 2), (1, 2))))
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def test_double_permute(self):
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self.apply(lambda x: x.permute((1, 0)))
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self.apply(lambda x: x.permute((1, 0)))
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def test_slice_permute(self):
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self.apply(lambda x: x.shrink(((0, 2), (2, 4))))
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self.apply(lambda x: x.permute((1, 0)))
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def test_slice_expand(self):
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self.apply(lambda x: x.shrink(((0, 2), (3, 4))))
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self.apply(lambda x: x.expand((2, 10)))
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def test_double_stride(self):
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self.apply(lambda x: x.stride((1, 2)))
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self.apply(lambda x: x.stride((2, 1)))
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def test_stride(self): self.apply(lambda x: x.stride((2,1)))
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def test_stride_int(self): self.apply(lambda x: x.stride((1,2)))
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def test_stride_2(self): self.apply(lambda x: x.stride((2,2)))
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def test_stride_n(self): self.apply(lambda x: x.stride((-2,1)))
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def test_stride_int_n(self): self.apply(lambda x: x.stride((-1,2)))
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def test_stride_2_n(self): self.apply(lambda x: x.stride((-2,-2)))
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def test_reshape_then_permute(self):
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self.test_reshape()
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self.test_permute()
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def test_reshape_then_expand(self):
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self.test_reshape()
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self.test_expand()
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def test_permute_then_reshape(self):
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self.test_permute()
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self.test_reshape()
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def test_expand_then_reshape(self):
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self.test_expand()
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self.test_reshape()
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def test_combo(self):
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self.test_permute()
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self.test_reshape()
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self.test_slice_1()
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self.test_expand()
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self.test_permute()
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if __name__ == '__main__':
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unittest.main()
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