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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