(self)
| 106 | self.assertEqual(workspace.HasBlob("testblob"), False) |
| 107 | |
| 108 | def testTensorAccess(self): |
| 109 | ws = workspace.C.Workspace() |
| 110 | |
| 111 | """ test in-place modification """ |
| 112 | ws.create_blob("tensor").feed(np.array([1.1, 1.2, 1.3])) |
| 113 | tensor = ws.blobs["tensor"].tensor() |
| 114 | tensor.data[0] = 3.3 |
| 115 | val = np.array([3.3, 1.2, 1.3]) |
| 116 | np.testing.assert_array_equal(tensor.data, val) |
| 117 | np.testing.assert_array_equal(ws.blobs["tensor"].fetch(), val) |
| 118 | |
| 119 | """ test in-place initialization """ |
| 120 | tensor.init([2, 3], core.DataType.INT32) |
| 121 | for x in range(2): |
| 122 | for y in range(3): |
| 123 | tensor.data[x, y] = 0 |
| 124 | tensor.data[1, 1] = 100 |
| 125 | val = np.zeros([2, 3], dtype=np.int32) |
| 126 | val[1, 1] = 100 |
| 127 | np.testing.assert_array_equal(tensor.data, val) |
| 128 | np.testing.assert_array_equal(ws.blobs["tensor"].fetch(), val) |
| 129 | |
| 130 | """ strings cannot be initialized from python """ |
| 131 | with self.assertRaises(RuntimeError): |
| 132 | tensor.init([3, 4], core.DataType.STRING) |
| 133 | |
| 134 | """ feed (copy) data into tensor """ |
| 135 | val = np.array([[b"abc", b"def"], [b"ghi", b"jkl"]], dtype=object) |
| 136 | tensor.feed(val) |
| 137 | self.assertEqual(tensor.data[0, 0], b"abc") |
| 138 | np.testing.assert_array_equal(ws.blobs["tensor"].fetch(), val) |
| 139 | |
| 140 | val = np.array([1.1, 10.2]) |
| 141 | tensor.feed(val) |
| 142 | val[0] = 5.2 |
| 143 | self.assertEqual(tensor.data[0], 1.1) |
| 144 | |
| 145 | """ fetch (copy) data from tensor """ |
| 146 | val = np.array([1.1, 1.2]) |
| 147 | tensor.feed(val) |
| 148 | val2 = tensor.fetch() |
| 149 | tensor.data[0] = 5.2 |
| 150 | val3 = tensor.fetch() |
| 151 | np.testing.assert_array_equal(val, val2) |
| 152 | self.assertEqual(val3[0], 5.2) |
| 153 | |
| 154 | def testFetchFeedBlob(self): |
| 155 | self.assertEqual( |
nothing calls this directly
no test coverage detected