def test_unary_ops(self):
ops = [
('relu', nn_ops.relu, nn.relu),
('relu6', nn_ops.relu6, nn.relu6),
('crelu', nn_ops.crelu, nn.crelu),
('elu', nn_ops.elu, nn.elu),
('softplus', nn_ops.softplus, nn.softplus),
('l2_loss', nn_ops.l2_loss, nn.l2_loss),
('softmax', nn_ops.softmax, nn.softmax),
('log_softmax', nn_ops.log_softmax, nn.log_softmax),
]
for op_name, tf_op, lt_op in ops:
golden_tensor = tf_op(self.original_lt.tensor)
golden_lt = core.LabeledTensor(golden_tensor, self.axes)
actual_lt = lt_op(self.original_lt)
self.assertIn(op_name, actual_lt.name)
self.assertLabeledTensorsEqual(golden_lt, actual_lt)
nn_test.py 文件源码
python
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