|
68 | 68 | " name='Add2',\n",
|
69 | 69 | ")\n",
|
70 | 70 | "\n",
|
71 |
| - "Add3_node = onnx.helper.make_node(\n", |
72 |
| - " 'Add',\n", |
73 |
| - " inputs=['abs1', 'abs1'],\n", |
74 |
| - " outputs=['sum3'],\n", |
75 |
| - " name='Add3',\n", |
76 |
| - ")\n", |
77 |
| - "\n", |
78 | 71 | "Abs_node = onnx.helper.make_node(\n",
|
79 | 72 | " 'Abs',\n",
|
80 | 73 | " inputs=['sum2'],\n",
|
81 | 74 | " outputs=['abs1'],\n",
|
82 | 75 | " name='Abs'\n",
|
83 | 76 | ")\n",
|
84 | 77 | "\n",
|
| 78 | + "Add3_node = onnx.helper.make_node(\n", |
| 79 | + " 'Add',\n", |
| 80 | + " inputs=['abs1', 'abs1'],\n", |
| 81 | + " outputs=['sum3'],\n", |
| 82 | + " name='Add3',\n", |
| 83 | + ")\n", |
| 84 | + "\n", |
85 | 85 | "Round_node = onnx.helper.make_node(\n",
|
86 | 86 | " 'Round',\n",
|
87 | 87 | " inputs=['sum3'],\n",
|
88 | 88 | " outputs=['out1'],\n",
|
89 | 89 | " name='Round',\n",
|
90 |
| - ")\n" |
| 90 | + ")" |
91 | 91 | ]
|
92 | 92 | },
|
93 | 93 | {
|
|
253 | 253 | "metadata": {},
|
254 | 254 | "outputs": [],
|
255 | 255 | "source": [
|
256 |
| - "in1_values =np.asarray(np.random.uniform(low=-5, high=5, size=(4,4)), dtype=np.float32)\n", |
| 256 | + "in1_values = np.asarray(np.random.uniform(low=-5, high=5, size=(4,4)), dtype=np.float32)\n", |
257 | 257 | "in2_values = np.asarray(np.random.uniform(low=-5, high=5, size=(4,4)), dtype=np.float32)\n",
|
258 | 258 | "in3_values = np.asarray(np.random.uniform(low=-5, high=5, size=(4,4)), dtype=np.float32)"
|
259 | 259 | ]
|
|
350 | 350 | "metadata": {},
|
351 | 351 | "outputs": [],
|
352 | 352 | "source": [
|
| 353 | + "import qonnx\n", |
353 | 354 | "from qonnx.core.modelwrapper import ModelWrapper\n",
|
354 | 355 | "finn_model = ModelWrapper(onnx_model)"
|
355 | 356 | ]
|
|
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