| |
| |
|
|
| import unittest |
|
|
| from tests.common import onnx_script_test_case |
| from tests.models import onnxfns1 |
|
|
|
|
| class TestOnnxFns(onnx_script_test_case.OnnxScriptTestCase): |
| @classmethod |
| def setUpClass(cls): |
| super().setUpClass() |
| cls.rtol = 1e-05 |
|
|
| def test_onnxfns_relu(self): |
| self.run_onnx_test(onnxfns1.Relu) |
|
|
| def test_onnxfns_selu(self): |
| default_alpha = 1.67326319217681884765625 |
| default_gamma = 1.05070102214813232421875 |
|
|
| self.run_onnx_test(onnxfns1.Selu, alpha=default_alpha, gamma=default_gamma) |
|
|
| def test_onnxfns_elu(self): |
| default_alpha = 1.0 |
| self.run_onnx_test(onnxfns1.Elu, alpha=default_alpha) |
|
|
| def test_onnxfns_thresholded_relu(self): |
| default_alpha = 1.0 |
| self.run_onnx_test(onnxfns1.ThresholdedRelu, alpha=default_alpha) |
|
|
| def test_onnxfns_leaky_relu(self): |
| default_alpha = 0.01 |
| self.run_onnx_test(onnxfns1.LeakyRelu, alpha=default_alpha) |
|
|
| def test_onnxfns_prelu(self): |
| self.run_onnx_test(onnxfns1.PRelu) |
|
|
| def test_onnxfns_hard_sigmoid(self): |
| default_alpha = 0.2 |
| default_beta = 0.5 |
| self.run_onnx_test(onnxfns1.HardSigmoid, alpha=default_alpha, beta=default_beta) |
|
|
| def test_onnxfns_hard_shrink(self): |
| default_bias = 0.0 |
| default_lambd = 0.5 |
| self.run_onnx_test(onnxfns1.Shrink, bias=default_bias, lambd=default_lambd) |
|
|
| def test_onnxfns_hard_softplus(self): |
| self.run_onnx_test(onnxfns1.Softplus) |
|
|
| def test_onnxfns_hard_softsign(self): |
| self.run_onnx_test(onnxfns1.Softsign) |
|
|
| def test_onnxfns_hard_clip(self): |
| self.run_onnx_test( |
| onnxfns1.Clip, |
| skip_eager_test=True, |
| skip_test_names=[ |
| "test_clip_default_int8_min", |
| "test_clip_default_int8_max", |
| "test_clip_default_int8_inbounds", |
| ], |
| ) |
|
|
|
|
| if __name__ == "__main__": |
| unittest.main() |
|
|
