Update onnx-metadata.json

src/onnx-metadata.json

@@ -468,7 +468,7 @@
           "summary": "and"
         },
         {
-          "code": "node = onnx.helper.make_node(\n    'And',\n    inputs=['x', 'y'],\n    outputs=['and'],\n)\n\n# 3d vs 1d\nx = (np.random.randn(3, 4, 5) > 0).astype(np.bool)\ny = (np.random.randn(5) > 0).astype(np.bool)\nz = np.logical_and(x, y)\nexpect(node, inputs=[x, y], outputs=[z],\n       name='test_or_bcast3v1d')\n\n# 3d vs 2d\nx = (np.random.randn(3, 4, 5) > 0).astype(np.bool)\ny = (np.random.randn(4, 5) > 0).astype(np.bool)\nz = np.logical_and(x, y)\nexpect(node, inputs=[x, y], outputs=[z],\n       name='test_or_bcast3v2d')\n\n# 4d vs 2d\nx = (np.random.randn(3, 4, 5, 6) > 0).astype(np.bool)\ny = (np.random.randn(5, 6) > 0).astype(np.bool)\nz = np.logical_and(x, y)\nexpect(node, inputs=[x, y], outputs=[z],\n       name='test_or_bcast4v2d')\n\n# 4d vs 3d\nx = (np.random.randn(3, 4, 5, 6) > 0).astype(np.bool)\ny = (np.random.randn(4, 5, 6) > 0).astype(np.bool)\nz = np.logical_and(x, y)\nexpect(node, inputs=[x, y], outputs=[z],\n       name='test_or_bcast4v3d')\n\n# 4d vs 4d\nx = (np.random.randn(1, 4, 1, 6) > 0).astype(np.bool)\ny = (np.random.randn(3, 1, 5, 6) > 0).astype(np.bool)\nz = np.logical_and(x, y)\nexpect(node, inputs=[x, y], outputs=[z],\n       name='test_or_bcast4v4d')",
+          "code": "node = onnx.helper.make_node(\n    'And',\n    inputs=['x', 'y'],\n    outputs=['and'],\n)\n\n# 3d vs 1d\nx = (np.random.randn(3, 4, 5) > 0).astype(np.bool)\ny = (np.random.randn(5) > 0).astype(np.bool)\nz = np.logical_and(x, y)\nexpect(node, inputs=[x, y], outputs=[z],\n       name='test_and_bcast3v1d')\n\n# 3d vs 2d\nx = (np.random.randn(3, 4, 5) > 0).astype(np.bool)\ny = (np.random.randn(4, 5) > 0).astype(np.bool)\nz = np.logical_and(x, y)\nexpect(node, inputs=[x, y], outputs=[z],\n       name='test_and_bcast3v2d')\n\n# 4d vs 2d\nx = (np.random.randn(3, 4, 5, 6) > 0).astype(np.bool)\ny = (np.random.randn(5, 6) > 0).astype(np.bool)\nz = np.logical_and(x, y)\nexpect(node, inputs=[x, y], outputs=[z],\n       name='test_and_bcast4v2d')\n\n# 4d vs 3d\nx = (np.random.randn(3, 4, 5, 6) > 0).astype(np.bool)\ny = (np.random.randn(4, 5, 6) > 0).astype(np.bool)\nz = np.logical_and(x, y)\nexpect(node, inputs=[x, y], outputs=[z],\n       name='test_and_bcast4v3d')\n\n# 4d vs 4d\nx = (np.random.randn(1, 4, 1, 6) > 0).astype(np.bool)\ny = (np.random.randn(3, 1, 5, 6) > 0).astype(np.bool)\nz = np.logical_and(x, y)\nexpect(node, inputs=[x, y], outputs=[z],\n       name='test_and_bcast4v4d')",
           "summary": "and_broadcast"
         }
       ],
@@ -527,7 +527,7 @@
           "summary": "and"
         },
         {
-          "code": "node = onnx.helper.make_node(\n    'And',\n    inputs=['x', 'y'],\n    outputs=['and'],\n)\n\n# 3d vs 1d\nx = (np.random.randn(3, 4, 5) > 0).astype(np.bool)\ny = (np.random.randn(5) > 0).astype(np.bool)\nz = np.logical_and(x, y)\nexpect(node, inputs=[x, y], outputs=[z],\n       name='test_or_bcast3v1d')\n\n# 3d vs 2d\nx = (np.random.randn(3, 4, 5) > 0).astype(np.bool)\ny = (np.random.randn(4, 5) > 0).astype(np.bool)\nz = np.logical_and(x, y)\nexpect(node, inputs=[x, y], outputs=[z],\n       name='test_or_bcast3v2d')\n\n# 4d vs 2d\nx = (np.random.randn(3, 4, 5, 6) > 0).astype(np.bool)\ny = (np.random.randn(5, 6) > 0).astype(np.bool)\nz = np.logical_and(x, y)\nexpect(node, inputs=[x, y], outputs=[z],\n       name='test_or_bcast4v2d')\n\n# 4d vs 3d\nx = (np.random.randn(3, 4, 5, 6) > 0).astype(np.bool)\ny = (np.random.randn(4, 5, 6) > 0).astype(np.bool)\nz = np.logical_and(x, y)\nexpect(node, inputs=[x, y], outputs=[z],\n       name='test_or_bcast4v3d')\n\n# 4d vs 4d\nx = (np.random.randn(1, 4, 1, 6) > 0).astype(np.bool)\ny = (np.random.randn(3, 1, 5, 6) > 0).astype(np.bool)\nz = np.logical_and(x, y)\nexpect(node, inputs=[x, y], outputs=[z],\n       name='test_or_bcast4v4d')",
+          "code": "node = onnx.helper.make_node(\n    'And',\n    inputs=['x', 'y'],\n    outputs=['and'],\n)\n\n# 3d vs 1d\nx = (np.random.randn(3, 4, 5) > 0).astype(np.bool)\ny = (np.random.randn(5) > 0).astype(np.bool)\nz = np.logical_and(x, y)\nexpect(node, inputs=[x, y], outputs=[z],\n       name='test_and_bcast3v1d')\n\n# 3d vs 2d\nx = (np.random.randn(3, 4, 5) > 0).astype(np.bool)\ny = (np.random.randn(4, 5) > 0).astype(np.bool)\nz = np.logical_and(x, y)\nexpect(node, inputs=[x, y], outputs=[z],\n       name='test_and_bcast3v2d')\n\n# 4d vs 2d\nx = (np.random.randn(3, 4, 5, 6) > 0).astype(np.bool)\ny = (np.random.randn(5, 6) > 0).astype(np.bool)\nz = np.logical_and(x, y)\nexpect(node, inputs=[x, y], outputs=[z],\n       name='test_and_bcast4v2d')\n\n# 4d vs 3d\nx = (np.random.randn(3, 4, 5, 6) > 0).astype(np.bool)\ny = (np.random.randn(4, 5, 6) > 0).astype(np.bool)\nz = np.logical_and(x, y)\nexpect(node, inputs=[x, y], outputs=[z],\n       name='test_and_bcast4v3d')\n\n# 4d vs 4d\nx = (np.random.randn(1, 4, 1, 6) > 0).astype(np.bool)\ny = (np.random.randn(3, 1, 5, 6) > 0).astype(np.bool)\nz = np.logical_and(x, y)\nexpect(node, inputs=[x, y], outputs=[z],\n       name='test_and_bcast4v4d')",
           "summary": "and_broadcast"
         }
       ],