mxnet 1.7.0 src/executor/infer_graph_attr_pass.cc:675: Check failed: is >> rshape[out_ent_id] Invalid attribute

[Light--]

Description

constructed simple model, but throw out dmlc error

Error Message

terminate called after throwing an instance of 'dmlc::Error'
  what():  [08:14:10] src/executor/infer_graph_attr_pass.cc:675: Check failed: is >> rshape[out_ent_id] Invalid attribute

Aborted (core dumped)

To Reproduce

run the minimal code example

Steps to reproduce

1. install mxnet-cu101 1.7.0
   2.run the code

import mxnet as mx

bn_mom = 0.9
emb_size=512

def get_fc1(last_conv, num_classes, fc_type, input_channel=512):
    body = last_conv

    if fc_type == 'E':
        body = mx.sym.BatchNorm(data=body, fix_gamma=False, eps=2e-5, momentum=0.9, name='bn1')
        body = mx.symbol.Dropout(data=body, p=0.4)

        # output of backbone
        fc1 = mx.sym.FullyConnected(data=body, num_hidden=num_classes, name='pre_fc1')
        fc1 = mx.sym.BatchNorm(data=fc1, fix_gamma=True, eps=2e-5, momentum=0.9, name='fc1')

        ##################### add 3 tasks #####################################
        fcAA_weight = mx.sym.Variable("pre_fcAA_weight", lr_mult=10, shape=(num_classes, emb_size))
        fcAA = mx.sym.FullyConnected(data=body, weight=fcAA_weight, num_hidden=num_classes, name='pre_fcAA', no_bias=True)
        fcAA = mx.sym.BatchNorm(data=fcAA, fix_gamma=True, eps=2e-5, momentum=0.9, name='fcAA')

        fcBBder_weight = mx.sym.Variable("pre_fcBB_weight", lr_mult=10, shape=(num_classes, emb_size))
        fcBBder = mx.sym.FullyConnected(data=body, weight=fcBBder_weight, num_hidden=num_classes, name='pre_fcBB', no_bias=True)
        fcBBder = mx.sym.BatchNorm(data=fcBBder, fix_gamma=True, eps=2e-5, momentum=bn_mom, name='fcBB')

        fcCCe_weight = mx.sym.Variable("pre_fcCC_weight", lr_mult=10, shape=(num_classes, emb_size))
        fcCCe = mx.sym.FullyConnected(data=body, weight=fcCCe_weight, num_hidden=num_classes, name='pre_fcCC', no_bias=True)
        fcCCe = mx.sym.BatchNorm(data=fcCCe, fix_gamma=True, eps=2e-5, momentum=bn_mom, name='fcCC')
        print('Added 3 tasks')
        ##################### add 3 tasks #####################################

        print('Net built.')
        return mx.sym.Group([fc1, fcAA, fcBBder, fcCCe])
if __name__ == '__main__':
    from mxnet import nd
    import numpy as np
    v_input = nd.random.normal(0, 1, shape=(3, 4))
    sym_input = mx.symbol.Variable('sym_input', shape=nd.empty((3,4)))
    c = get_fc1(last_conv=sym_input, num_classes=512, fc_type='E', input_channel=512)

    grad = mx.symbol.BlockGrad()
    loss = mx.sym.MakeLoss(grad+sym_input)
    exe = loss.simple_bind(ctx=mx.cpu(2), sym_input=v_input)

What have you tried to solve it?

1. this error has not reported before in mxnet-cu90 1.6.0
2. this solution can not fix it, i didn't find any None shape definition for symbol

Environment

----------Python Info----------
Version      : 3.7.7
Compiler     : GCC 7.3.0
Build        : ('default', 'Mar 26 2020 15:48:22')
Arch         : ('64bit', '')
------------Pip Info-----------
Version      : 20.0.2
Directory    : /home/usr1/miniconda3/envs/py377/lib/python3.7/site-packages/pip
----------MXNet Info-----------
Version      : 1.7.0
Directory    : /home/usr1/miniconda3/envs/py377/lib/python3.7/site-packages/mxnet
Commit Hash   : 64f737cdd59fe88d2c5b479f25d011c5156b6a8a
64f737cdd59fe88d2c5b479f25d011c5156b6a8a
64f737cdd59fe88d2c5b479f25d011c5156b6a8a
64f737cdd59fe88d2c5b479f25d011c5156b6a8a
64f737cdd59fe88d2c5b479f25d011c5156b6a8a
64f737cdd59fe88d2c5b479f25d011c5156b6a8a
64f737cdd59fe88d2c5b479f25d011c5156b6a8a
64f737cdd59fe88d2c5b479f25d011c5156b6a8a
64f737cdd59fe88d2c5b479f25d011c5156b6a8a
64f737cdd59fe88d2c5b479f25d011c5156b6a8a
Library      : ['/home/usr1/miniconda3/envs/py377/lib/python3.7/site-packages/mxnet/libmxnet.so']
Build features:
✔ CUDA
✔ CUDNN
✔ NCCL
✔ CUDA_RTC
✖ TENSORRT
✔ CPU_SSE
✔ CPU_SSE2
✔ CPU_SSE3
✔ CPU_SSE4_1
✔ CPU_SSE4_2
✖ CPU_SSE4A
✔ CPU_AVX
✖ CPU_AVX2
✔ OPENMP
✖ SSE
✔ F16C
✖ JEMALLOC
✔ BLAS_OPEN
✖ BLAS_ATLAS
✖ BLAS_MKL
✖ BLAS_APPLE
✔ LAPACK
✔ MKLDNN
✔ OPENCV
✖ CAFFE
✖ PROFILER
✔ DIST_KVSTORE
✖ CXX14
✖ INT64_TENSOR_SIZE
✔ SIGNAL_HANDLER
✖ DEBUG
✖ TVM_OP
----------System Info----------
Platform     : Linux-4.4.0-109-generic-x86_64-with-debian-buster-sid
system       : Linux
node         : xxxpc
release      : 4.4.0-109-generic
version      : #132~14.04.1-Ubuntu SMP Tue Jan 9 21:46:42 UTC 2018
----------Hardware Info----------
machine      : x86_64
processor    : x86_64
Architecture:        x86_64
CPU op-mode(s):      32-bit, 64-bit
Byte Order:          Little Endian
CPU(s):              32
On-line CPU(s) list: 0-31
Thread(s) per core:  2
Core(s) per socket:  8
Socket(s):           2
NUMA node(s):        2
Vendor ID:           GenuineIntel
CPU family:          6
Model:               85
Model name:          Intel(R) Xeon(R) Silver 4215R CPU @ 3.20GHz
Stepping:            7
CPU MHz:             1000.000
CPU max MHz:         3201.0000
CPU min MHz:         1000.0000
BogoMIPS:            6399.98
Virtualization:      VT-x
L1d cache:           32K
L1i cache:           32K
L2 cache:            1024K
L3 cache:            11264K
NUMA node0 CPU(s):   0-7,16-23
NUMA node1 CPU(s):   8-15,24-31
Flags:               fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc aperfmperf eagerfpu pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch epb invpcid_single intel_pt kaiser tpr_shadow vnmi flexpriority ept vpid fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm cqm mpx avx512f rdseed adx smap clflushopt clwb avx512cd xsaveopt xsavec xgetbv1 cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts
----------Network Test----------
Setting timeout: 10
Error resolving DNS for MXNet: https://github.com/apache/incubator-mxnet, [Errno -2] Name or service not known
Error resolving DNS for Gluon Tutorial(en): http://gluon.mxnet.io, [Errno -2] Name or service not known
Error resolving DNS for Gluon Tutorial(cn): https://zh.gluon.ai, [Errno -2] Name or service not known
Error resolving DNS for FashionMNIST: https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, [Errno -2] Name or service not known
Error resolving DNS for PYPI: https://pypi.python.org/pypi/pip, [Errno -2] Name or service not known
Error resolving DNS for Conda: https://repo.continuum.io/pkgs/free/, [Errno -2] Name or service not known
----------Environment----------
KMP_DUPLICATE_LIB_OK="True"
KMP_INIT_AT_FORK="FALSE"

[github-actions[bot]]

Welcome to Apache MXNet (incubating)! We are on a mission to democratize AI, and we are glad that you are contributing to it by opening this issue.
Please make sure to include all the relevant context, and one of the @apache/mxnet-committers will be here shortly.
If you are interested in contributing to our project, let us know! Also, be sure to check out our guide on contributing to MXNet and our development guides wiki.

[szha]

@Light-- simple_bind takes the shape (not the data) of a symbol variable. The correct usage is

executor = loss.simple_bind(ctx=cpu(), a=(1,2), b=(1,2))
executor.forward(is_train=True, a=v1, b=v2)

See Symbol.simple_bind