jiangjiajun commented on PR #14160:
URL: https://github.com/apache/tvm/pull/14160#issuecomment-1459160265
Since the ci image is not updated yet, you can modify the test case to fix
`mish` error
```
@tvm.testing.uses_gpu
def test_forward_mish():
class Mish(nn.Layer):
@paddle.jit.to_static
def forward(self, inputs):
return nn.functional.mish(inputs)
input_shapes = [[10], [2, 3], [5, 10, 11], [3, 4, 5, 6]]
if paddle.version.full_version >= '2.4.2':
for input_shape in input_shapes:
input_data = paddle.randn(shape=input_shape, dtype="float32")
verify_model(Mish(), input_data=input_data)
input_data += 20.0
verify_model(Mish(), input_data=input_data)
input_data = paddle.to_tensor([-5.0, 0.0, 5.0, 23.1, 20.0])
verify_model(Mish(), input_data=input_data)
```
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