Ejemplo n.º 1
0
 def test_code_add_transpose(self):
     idi = numpy.identity(2, dtype=numpy.float32)
     onx = OnnxTranspose(OnnxAdd('X',
                                 idi,
                                 op_version=get_opset_number_from_onnx()),
                         output_names=['Y'],
                         op_version=get_opset_number_from_onnx())
     model_def = onx.to_onnx({'X': idi.astype(numpy.float32)})
     oinf = OnnxInference(model_def, runtime='python')
     res = oinf.to_python(inline=False)
     self.assertNotEmpty(res)
     self.assertIsInstance(res, dict)
     self.assertEqual(len(res), 2)
     self.assertIn('onnx_pyrt_Ad_Addcst.pkl', res)
     self.assertIn('onnx_pyrt_main.py', res)
     cd = res['onnx_pyrt_main.py']
     self.assertIn('def pyrt_Add(X, Ad_Addcst):', cd)
     self.assertIn('def run(self, X):', cd)
     # inline
     temp = get_temp_folder(__file__, "temp_code_add_transpose")
     res = oinf.to_python(inline=True, dest=temp)
     self.assertNotEmpty(res)
     name = os.path.join(temp, 'onnx_pyrt_main.py')
     self.assertExists(name)
     # test code
     test_code = """
         X = numpy.array([[1, 2], [3, 4]], dtype=numpy.float32)
         oinf = OnnxPythonInference()
         Y = oinf.run(X)
         print(Y)
         """
     X = numpy.array([[1, 2], [3, 4]], dtype=numpy.float32)
     exp = oinf.run({'X': X})['Y']
     sexp = str(exp)
     self.auto_test_script(name, test_code, sexp)
 def test_code_add_except(self):
     idi = numpy.identity(2, dtype=numpy.float32)
     onx = OnnxAdd('X', idi, output_names=['Y'], op_version=TARGET_OPSET)
     model_def = onx.to_onnx({'X': idi.astype(numpy.float32)},
                             target_opset=TARGET_OPSET)
     model_def.ir_version = get_ir_version(TARGET_OPSET)
     oinf = OnnxInference(model_def, runtime='onnxruntime1')
     try:
         oinf.to_python()
     except ValueError:
         pass