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fix numpy1.24 deprecations in unittests (#93997)
Fixes https://github.com/pytorch/pytorch/issues/91329 Pull Request resolved: https://github.com/pytorch/pytorch/pull/93997 Approved by: https://github.com/ngimel, https://github.com/jerryzh168
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@ -807,7 +807,7 @@ class TestTensorBoardNumpy(BaseTestCase):
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model = ModelHelper(name="mnist")
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# how come those inputs don't break the forward pass =.=a
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workspace.FeedBlob("data", np.random.randn(1, 3, 64, 64).astype(np.float32))
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workspace.FeedBlob("label", np.random.randn(1, 1000).astype(np.int))
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workspace.FeedBlob("label", np.random.randn(1, 1000).astype(int))
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with core.NameScope("conv1"):
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conv1 = brew.conv(model, "data", 'conv1', dim_in=1, dim_out=20, kernel=5)
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@ -842,7 +842,7 @@ class TestTensorBoardNumpy(BaseTestCase):
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def test_caffe2_simple_cnnmodel(self):
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model = cnn.CNNModelHelper("NCHW", name="overfeat")
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workspace.FeedBlob("data", np.random.randn(1, 3, 64, 64).astype(np.float32))
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workspace.FeedBlob("label", np.random.randn(1, 1000).astype(np.int))
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workspace.FeedBlob("label", np.random.randn(1, 1000).astype(int))
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with core.NameScope("conv1"):
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conv1 = model.Conv("data", "conv1", 3, 96, 11, stride=4)
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relu1 = model.Relu(conv1, conv1)
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