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 | 1 | initial version |
sadly, as of now, it's not possible (they are not exposed to the public api).
you can traverse the layers, get their names, shapes, input connections, blobs, but that's about it, the LayerParams are hidden in the (private) DnnImpl class.
you could try to generate a (human readable) pbtxt file from the tensorflow api, which has all that information .
| | 2 | No.2 Revision |
sadly, as of now, it's not possible (they are not exposed to the public api).
you can traverse the layers, get their names, shapes, input connections, blobs, but that's about it, the LayerParams are hidden in the (private) DnnImpl class.
you could try to generate a (human readable) pbtxt file file from the tensorflow api, which has all that information .
