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enable some test_ops tests (#12607)
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@@ -2,7 +2,7 @@ import time, math, unittest, functools, platform, warnings
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import numpy as np
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from typing import List, Callable
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import torch
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from tinygrad.helpers import getenv, IMAGE, DEBUG, CI, Context, TRANSCENDENTAL, CPU_LLVM, AMD_LLVM
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from tinygrad.helpers import getenv, IMAGE, DEBUG, CI, Context, CPU_LLVM, AMD_LLVM
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from tinygrad import Tensor, Device, dtypes
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from tinygrad.tensor import _to_np_dtype
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from tinygrad.device import is_dtype_supported
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@@ -901,7 +901,6 @@ class TestOps(unittest.TestCase):
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def test_abs_exact(self):
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helper_test_op(None, torch.abs, Tensor.abs, vals=[[-1.,0,1]])
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@unittest.skipIf(TRANSCENDENTAL and Device.DEFAULT=="AMD", "TODO: remu crashes")
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def test_log(self):
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helper_test_op([(45,65)], torch.log, Tensor.log)
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helper_test_op(None, torch.log, Tensor.log, vals=[[math.inf, -math.inf, math.nan]])
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@@ -911,7 +910,6 @@ class TestOps(unittest.TestCase):
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helper_test_op(None, torch.log2, Tensor.log2, vals=[[math.inf, -math.inf, math.nan]])
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helper_test_op([()], torch.log2, Tensor.log2)
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@unittest.skipIf(TRANSCENDENTAL and Device.DEFAULT=="AMD", "TODO: remu crashes")
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def test_exp(self):
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helper_test_op([(45,65)], torch.exp, Tensor.exp)
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helper_test_op(None, torch.exp, Tensor.exp, vals=[[math.inf, -math.inf, math.nan]])
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@@ -1549,7 +1547,6 @@ class TestOps(unittest.TestCase):
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helper_test_op([(3,4,5,6)], lambda x: torch.stack(torch.std_mean(x, axis=(1,2))),
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lambda x: Tensor.stack(*x.std_mean(axis=(1,2))))
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@unittest.skip("TODO: this fails because of loaded nan in mul folding")
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def test_std_mean_loaded_nan(self):
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helper_test_op([(1,0,3,0,5)], lambda x: torch.stack(torch.std_mean(x, axis=(1,3))),
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lambda x: Tensor.stack(*x.std_mean(axis=(1,3))))
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