anirudhacharya commented on issue #10359: Correct way to detect JSON file contains MXNet model URL: https://github.com/apache/incubator-mxnet/issues/10359#issuecomment-377993495 Here is a potential solution to this problem, without having any restrictions on the filename of the json file. The following is a sample json file that was obtained after serializing an mxnet symbol graph. ``` { "nodes": [ { "op": "null", "name": "a", "inputs": [] }, { "op": "null", "name": "b", "inputs": [] }, { "op": "elemwise_mul", "name": "_mul5", "inputs": [[0, 0, 0], [1, 0, 0]] }, { "op": "dot", "name": "dot5", "inputs": [[0, 0, 0], [1, 0, 0]] }, { "op": "elemwise_add", "name": "_plus11", "inputs": [[2, 0, 0], [3, 0, 0]] }, { "op": "Reshape", "name": "reshape6", "attrs": {"shape": "(1, 4)"}, "inputs": [[4, 0, 0]] } ], "arg_nodes": [0, 1], "node_row_ptr": [0, 1, 2, 3, 4, 5, 6], "heads": [[5, 0, 0]], "attrs": {"mxnet_version": ["int", 10200]} } ``` I have checked with a couple of other serialized graphs and all of them have this particular attribute in their json - ``` "attrs": {"mxnet_version": ["int", 10200]} ``` We could possibly use the presence of this attribute in the json file to verify if it is an MXNet Symbol graph or not. I doubt Keras models will contain that particular attribute in its json.
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