[GitHub] [incubator-tvm] rubick1896 opened a new issue #6556: [New Op request] _sample_normal and _sample_gamma from mxnet 1.7.0

[GitBox <gi...@apache.org>]

rubick1896 opened a new issue #6556:
URL: https://github.com/apache/incubator-tvm/issues/6556


   I got the following message when trying to compile DeepAR model from Gluonts
   `
   ---------------------------------------------------------------------------
   OpNotImplemented                          Traceback (most recent call last)
   <ipython-input-3-9838f83506d7> in <module>
   ----> 1 mod, params = relay.frontend.from_mxnet(predictor.prediction_net, shape_dict)
   
   ~/.local/lib/python3.7/site-packages/tvm-0.7.dev1-py3.7-linux-x86_64.egg/tvm/relay/frontend/mxnet.py in from_mxnet(symbol, shape, dtype, arg_params, aux_params)
      2596             sym = mx.sym.Group(sym)
      2597         shape, dtype = _update_shape_dtype(shape, dtype, params)
   -> 2598         func = _from_mxnet_impl(sym, shape, dtype, params, mod)
      2599     elif isinstance(symbol, mx.gluon.Block):
      2600         raise NotImplementedError("Only Hybrid Blocks are supported now.")
   
   ~/.local/lib/python3.7/site-packages/tvm-0.7.dev1-py3.7-linux-x86_64.egg/tvm/relay/frontend/mxnet.py in _from_mxnet_impl(symbol, shape_dict, dtype_info, params, mod)
      2472         msg = '\n'.join(['{}: {}'.format(op_name, cnt) for op_name, cnt in unsupported.items()])
      2473         raise tvm.error.OpNotImplemented(
   -> 2474             'One or more operators are not supported in frontend MXNet:\n{}'.format(msg))
      2475 
      2476     for nid, node in enumerate(jnodes):
   
   OpNotImplemented: One or more operators are not supported in frontend MXNet:
   _sample_gamma: 10
   _sample_normal: 10
   `
   DeepAR: https://gluon-ts.mxnet.io/api/gluonts/gluonts.model.deepar.html
   TVM version:  0.7.dev1
   
   Is it possible to support these operations in the near future?
   


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