|
| 1 | +importunittest |
| 2 | +fromtextwrapimportdedent |
| 3 | +importnumpyasnp |
| 4 | +fromonnximportModelProto,TensorProto |
| 5 | +fromonnx.checkerimportcheck_model |
| 6 | +fromonnx.defsimportonnx_opset_version |
| 7 | +fromonnx.referenceimportReferenceEvaluator |
| 8 | +fromonnx_array_api.ext_test_caseimportExtTestCase |
| 9 | +fromonnx_array_api.light_apiimportstart |
| 10 | +fromonnx_array_api.graph_apiimportGraphBuilder |
| 11 | +fromonnx_array_api.translate_apiimporttranslate |
| 12 | + |
| 13 | + |
| 14 | +OPSET_API=min(19,onnx_opset_version()-1) |
| 15 | + |
| 16 | + |
| 17 | +classTestTranslateBuilder(ExtTestCase): |
| 18 | +defsetUp(self): |
| 19 | +self.maxDiff=None |
| 20 | + |
| 21 | +deftest_exp(self): |
| 22 | +onx=start(opset=19).vin("X").Exp().rename("Y").vout().to_onnx() |
| 23 | +self.assertIsInstance(onx,ModelProto) |
| 24 | +self.assertIn("Exp",str(onx)) |
| 25 | +ref=ReferenceEvaluator(onx) |
| 26 | +a=np.arange(10).astype(np.float32) |
| 27 | +got=ref.run(None, {"X":a})[0] |
| 28 | +self.assertEqualArray(np.exp(a),got) |
| 29 | + |
| 30 | +code=translate(onx,api="builder") |
| 31 | +expected=dedent( |
| 32 | +""" |
| 33 | + def light_api( |
| 34 | + op: "GraphBuilder", |
| 35 | + X: "FLOAT[]", |
| 36 | + ): |
| 37 | + Y = op.Exp(X) |
| 38 | + op.Identity(Y, outputs=["Y"]) |
| 39 | + return Y |
| 40 | +
|
| 41 | + g = GraphBuilder({'': 19}) |
| 42 | + g.make_tensor_input("X", TensorProto.FLOAT, ()) |
| 43 | + light_api(g.op, "X") |
| 44 | + g.make_tensor_output("Y", TensorProto.FLOAT, ()) |
| 45 | + model = g.to_onnx() |
| 46 | + """ |
| 47 | + ).strip("\n") |
| 48 | +self.assertEqual(expected,code.strip("\n")) |
| 49 | + |
| 50 | +deflight_api( |
| 51 | +op:"GraphBuilder", |
| 52 | +X:"FLOAT[]",# noqa: F722 |
| 53 | + ): |
| 54 | +Y=op.Exp(X) |
| 55 | +op.Identity(Y,outputs=["Y"]) |
| 56 | +returnY |
| 57 | + |
| 58 | +g2=GraphBuilder({"":19}) |
| 59 | +g2.make_tensor_input("X",TensorProto.FLOAT, ("A",)) |
| 60 | +light_api(g2.op,"X") |
| 61 | +g2.make_tensor_output("Y",TensorProto.FLOAT, ("A",)) |
| 62 | +onx2=g2.to_onnx() |
| 63 | + |
| 64 | +ref=ReferenceEvaluator(onx2) |
| 65 | +a=np.arange(10).astype(np.float32) |
| 66 | +got=ref.run(None, {"X":a})[0] |
| 67 | +self.assertEqualArray(np.exp(a),got) |
| 68 | + |
| 69 | +deftest_zdoc(self): |
| 70 | +onx= ( |
| 71 | +start(opset=19) |
| 72 | + .vin("X") |
| 73 | + .reshape((-1,1)) |
| 74 | + .Transpose(perm=[1,0]) |
| 75 | + .rename("Y") |
| 76 | + .vout() |
| 77 | + .to_onnx() |
| 78 | + ) |
| 79 | +code=translate(onx,api="builder") |
| 80 | +expected=dedent( |
| 81 | +""" |
| 82 | + def light_api( |
| 83 | + op: "GraphBuilder", |
| 84 | + X: "FLOAT[]", |
| 85 | + ): |
| 86 | + r = np.array([-1, 1], dtype=np.int64) |
| 87 | + r0_0 = op.Reshape(X, r) |
| 88 | + Y = op.Transpose(r0_0, perm=[1, 0]) |
| 89 | + op.Identity(Y, outputs=["Y"]) |
| 90 | + return Y |
| 91 | +
|
| 92 | + g = GraphBuilder({'': 19}) |
| 93 | + g.make_tensor_input("X", TensorProto.FLOAT, ()) |
| 94 | + light_api(g.op, "X") |
| 95 | + g.make_tensor_output("Y", TensorProto.FLOAT, ()) |
| 96 | + model = g.to_onnx() |
| 97 | + """ |
| 98 | + ).strip("\n") |
| 99 | +self.maxDiff=None |
| 100 | +self.assertEqual(expected,code.strip("\n")) |
| 101 | + |
| 102 | +deflight_api( |
| 103 | +op:"GraphBuilder", |
| 104 | +X:"FLOAT[]",# noqa: F722 |
| 105 | + ): |
| 106 | +r=np.array([-1,1],dtype=np.int64) |
| 107 | +r0_0=op.Reshape(X,r) |
| 108 | +Y=op.Transpose(r0_0,perm=[1,0]) |
| 109 | +op.Identity(Y,outputs=["Y"]) |
| 110 | +returnY |
| 111 | + |
| 112 | +g=GraphBuilder({"":21}) |
| 113 | +X=g.make_tensor_input("X",TensorProto.FLOAT, ()) |
| 114 | +light_api(g.op,X) |
| 115 | +g.make_tensor_output("Y",TensorProto.FLOAT, ()) |
| 116 | +model=g.to_onnx() |
| 117 | +self.assertNotEmpty(model) |
| 118 | +check_model(model) |
| 119 | + |
| 120 | + |
| 121 | +if__name__=="__main__": |
| 122 | +unittest.main(verbosity=2) |