AndrewZhaoLuo commented on a change in pull request #9126:
URL: https://github.com/apache/tvm/pull/9126#discussion_r721756932
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File path: tests/python/frontend/paddlepaddle/test_forward.py
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@@ -623,39 +829,30 @@ def slice4(inputs):
@tvm.testing.uses_gpu
-def test_forward_tanh():
- @paddle.jit.to_static
- def tanh(inputs):
- return paddle.tanh(inputs)
+def test_forward_math_api():
+ class MathAPI(nn.Layer):
+ def __init__(self, api_name):
+ super(MathAPI, self).__init__()
+ for candidate in (paddle, paddle.nn.functional):
+ self.func = getattr(candidate, api_name, None)
+ if self.func:
+ break
- input_shape = [1, 3, 10, 10]
- input_data = paddle.rand(input_shape, dtype="float32")
- verify_model(tanh, input_data=input_data)
+ @paddle.jit.to_static
+ def forward(self, inputs):
+ return self.func(inputs)
+
+ api_list = [
+ "exp",
+ "relu",
+ "tanh",
+ ]
+ input_shapes = [[128], [2, 256], [1000, 128, 32], [7, 3, 256, 256]]
Review comment:
Please reduce the size of your test cases to something smaller e.g. less
than 256 total elements (totally arbitrary, just as small as possible while
still accomplishing the test)
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