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write sqrt and div using pow

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This commit is contained in:
George Hotz
2020-10-29 07:57:16 -07:00
parent ec7bdb87ca
commit f84f6c1edd
3 changed files with 40 additions and 29 deletions
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14
test/test_ops.py
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@@ -31,6 +31,20 @@ def helper_test_op(shps, torch_fxn, tinygrad_fxn, atol=1e-7, grad_atol=1e-7):
print("testing %30r torch/tinygrad fp: %.2f / %.2f ms bp: %.2f / %.2f ms" % (shps, torch_fp, tinygrad_fp, torch_fbp-torch_fp, tinygrad_fbp-tinygrad_fp))
class TestOps(unittest.TestCase):
def test_add(self):
helper_test_op([(45,65), (45,65)], lambda x,y: x+y, Tensor.add)
def test_sub(self):
helper_test_op([(45,65), (45,65)], lambda x,y: x-y, Tensor.sub)
def test_mul(self):
helper_test_op([(45,65), (45,65)], lambda x,y: x*y, Tensor.mul)
def test_div(self):
# TODO: why does this need more tolerance?
helper_test_op([(45,65), (45,65)], lambda x,y: x/y, Tensor.div, atol=5e-5)
def test_pow(self):
helper_test_op([(45,65), (45,65)], lambda x,y: x**y, Tensor.pow)
def test_sqrt(self):
helper_test_op([(45,65)], lambda x: x.sqrt(), Tensor.sqrt)
def test_conv2d(self):
for bs in [1,8]:
for cin in [1,3]: