[GitHub] [incubator-mxnet] Soonhwan-Kwon opened a new issue #14467: MKL-DNN QuantizedFullyConnectedOp Error

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

Soonhwan-Kwon opened a new issue #14467: MKL-DNN QuantizedFullyConnectedOp Error
URL: https://github.com/apache/incubator-mxnet/issues/14467
 
 
   ## Description
   When using FusedRNNCell + MKLDNN backend: Graph optimization and Quantization (experimental), it leads to the QuantizedFullyConnectedOp Error like below,
   
   MXNetError: Error in operator quantized_fusedrnn_t134_i2h: [11:40:16] src/operator/quantization/quantized_fully_connected.cc:41: Check failed: !shape_is_none(in_shape->at(0)) QuantizedFullyConnectedOp input data shape must be given
   
   and below is pseudo code for Network Architecture
   ```
   stack = mx.rnn.FusedRNNCell(1760, num_layers=num_layers,
                                                 mode=fused_rnn_mode, prefix='',
                                                 bidirectional=bidirectional).unfuse()
   net, _ = stack.unroll(length=seq_lengths_references[-1],
                               inputs=net,
                               merge_outputs=False,
                               layout='TNC'
                            )
   ```
   Quantization Code
   net = net.get_backend_symbol('MKLDNN')
   ```
   qnet, qarg_params, qaux_params = quantize_model(sym=net, arg_params={}, aux_params={},ctx=mx.cpu(0), calib_mode='none', quantized_dtype='int8')
   ```
   Stack trace returned 10 entries:
   [bt] (0) /home/ubuntu/anaconda2/envs/mxnet_1_4/lib/python2.7/site-packages/mxnet/libmxnet.so(+0x3e95ea) [0x7faf97f2b5ea]
   [bt] (1) /home/ubuntu/anaconda2/envs/mxnet_1_4/lib/python2.7/site-packages/mxnet/libmxnet.so(+0x3e9c11) [0x7faf97f2bc11]
   [bt] (2) /home/ubuntu/anaconda2/envs/mxnet_1_4/lib/python2.7/site-packages/mxnet/libmxnet.so(+0x9e351c) [0x7faf9852551c]
   [bt] (3) /home/ubuntu/anaconda2/envs/mxnet_1_4/lib/python2.7/site-packages/mxnet/libmxnet.so(+0x2deed5a) [0x7faf9a930d5a]
   [bt] (4) /home/ubuntu/anaconda2/envs/mxnet_1_4/lib/python2.7/site-packages/mxnet/libmxnet.so(+0x2df1704) [0x7faf9a933704]
   [bt] (5) /home/ubuntu/anaconda2/envs/mxnet_1_4/lib/python2.7/site-packages/mxnet/libmxnet.so(MXSymbolInferShape+0x15ba) [0x7faf9a89e40a]
   [bt] (6) /home/ubuntu/anaconda2/envs/mxnet_1_4/lib/python2.7/lib-dynload/../../libffi.so.6(ffi_call_unix64+0x4c) [0x7fafff188ec0]
   [bt] (7) /home/ubuntu/anaconda2/envs/mxnet_1_4/lib/python2.7/lib-dynload/../../libffi.so.6(ffi_call+0x22d) [0x7fafff18887d]
   [bt] (8) /home/ubuntu/anaconda2/envs/mxnet_1_4/lib/python2.7/lib-dynload/_ctypes.so(_ctypes_callproc+0x4de) [0x7fafff39f8de]
   [bt] (9) /home/ubuntu/anaconda2/envs/mxnet_1_4/lib/python2.7/lib-dynload/_ctypes.so(+0x9b31) [0x7fafff395b31]
   

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