Davidham3 opened a new issue, #21146:
URL: https://github.com/apache/incubator-mxnet/issues/21146
## Description
```python
from mxnet import nd
from mxnet.gluon import rnn
# create a simple GRU network
net = rnn.GRU(hidden_size=1, num_layers=2, bidirectional=True, layout="NTC",
use_sequence_length=True)
net.initialize()
x = nd.random.uniform(shape=(2, 3, 2))
valid_length = nd.array([1, 2])
# pass the sequence_length parameter
print(net(x, sequence_length=nd.array([1, 2])))
```
### Error Message
```
---------------------------------------------------------------------------
DeferredInitializationError Traceback (most recent call last)
File
~/miniconda3/envs/autogluon/lib/python3.8/site-packages/mxnet/gluon/block.py:1495,
in HybridBlock.forward(self, x, *args)
1494 try:
-> 1495 params = {k: v.data(ctx) for k, v in self._reg_params.items()}
1496 except DeferredInitializationError:
File
~/miniconda3/envs/autogluon/lib/python3.8/site-packages/mxnet/gluon/block.py:1495,
in <dictcomp>(.0)
1494 try:
-> 1495 params = {k: v.data(ctx) for k, v in self._reg_params.items()}
1496 except DeferredInitializationError:
File
~/miniconda3/envs/autogluon/lib/python3.8/site-packages/mxnet/gluon/parameter.py:574,
in Parameter.data(self, ctx)
571 raise RuntimeError("Cannot return a copy of Parameter '%s' on
ctx %s via data() " \
572 "because its storage type is %s. Please use
row_sparse_data() " \
573 "instead." % (self.name, str(ctx),
self._stype))
--> 574 return self._check_and_get(self._data, ctx)
File
~/miniconda3/envs/autogluon/lib/python3.8/site-packages/mxnet/gluon/parameter.py:230,
in Parameter._check_and_get(self, arr_list, ctx)
229 if self._deferred_init:
--> 230 raise DeferredInitializationError(
231 "Parameter '%s' has not been initialized yet because
initialization was " \
232 "deferred. Actual initialization happens during the first
forward pass. " \
233 "Please pass one batch of data through the network before
accessing Parameters. " \
234 "You can also avoid deferred initialization by specifying
in_units, " \
235 "num_features, etc., for network layers."%(self.name))
236 raise RuntimeError(
237 "Parameter '%s' has not been initialized. Note that " \
238 "you should initialize parameters and create Trainer " \
239 "with Block.collect_params() instead of Block.params " \
240 "because the later does not include Parameters of " \
241 "nested child Blocks"%(self.name))
DeferredInitializationError: Parameter 'gru0_l0_i2h_weight' has not been
initialized yet because initialization was deferred. Actual initialization
happens during the first forward pass. Please pass one batch of data through
the network before accessing Parameters. You can also avoid deferred
initialization by specifying in_units, num_features, etc., for network layers.
During handling of the above exception, another exception occurred:
MXNetError Traceback (most recent call last)
File
~/miniconda3/envs/autogluon/lib/python3.8/site-packages/mxnet/gluon/block.py:1192,
in HybridBlock._deferred_infer_shape(self, *args)
1191 try:
-> 1192 self.infer_shape(*args)
1193 except Exception as e:
File
~/miniconda3/envs/autogluon/lib/python3.8/site-packages/mxnet/gluon/block.py:1410,
in HybridBlock.infer_shape(self, *args)
1409 """Infers shape of Parameters from inputs."""
-> 1410 self._infer_attrs('infer_shape', 'shape', *args)
File
~/miniconda3/envs/autogluon/lib/python3.8/site-packages/mxnet/gluon/block.py:1394,
in HybridBlock._infer_attrs(self, infer_fn, attr, *args)
1393 """Generic infer attributes."""
-> 1394 inputs, out = self._get_graph(*args)
1395 args, _ = _flatten(args, "input")
File
~/miniconda3/envs/autogluon/lib/python3.8/site-packages/mxnet/gluon/block.py:1060,
in HybridBlock._get_graph(self, *args)
1059 with self.name_scope():
-> 1060 out = self.hybrid_forward(symbol, *grouped_inputs, **params) #
pylint: disable=no-value-for-parameter
1061 out, self._out_format = _flatten(out, "output")
File
~/miniconda3/envs/autogluon/lib/python3.8/site-packages/mxnet/gluon/rnn/rnn_layer.py:254,
in _RNNLayer.hybrid_forward(self, F, inputs, states, sequence_length, **kwargs)
251 raise ValueError(
252 "Invalid recurrent state shape. Expecting %s, got
%s."%(
253 str(info['shape']), str(state.shape)))
--> 254 out = self._forward_kernel(F, inputs, states, sequence_length,
**kwargs)
256 # out is (output, state)
File
~/miniconda3/envs/autogluon/lib/python3.8/site-packages/mxnet/gluon/rnn/rnn_layer.py:288,
in _RNNLayer._forward_kernel(self, F, inputs, states, sequence_length,
**kwargs)
287 rnn_fn = F.npx.rnn if is_np_array() else F.RNN
--> 288 rnn = rnn_fn(inputs, params, *rnn_args,
use_sequence_length=self._use_sequence_length,
289 state_size=self._hidden_size,
projection_size=self._projection_size,
290 num_layers=self._num_layers, bidirectional=self._dir ==
2,
291 p=self._dropout, state_outputs=True, mode=self._mode,
292 lstm_state_clip_min=self._lstm_state_clip_min,
293 lstm_state_clip_max=self._lstm_state_clip_max,
294 lstm_state_clip_nan=self._lstm_state_clip_nan)
296 if self._mode == 'lstm':
File <string>:199, in RNN(data, parameters, state, state_cell,
sequence_length, state_size, num_layers, bidirectional, mode, p, state_outputs,
projection_size, lstm_state_clip_min, lstm_state_clip_max, lstm_state_clip_nan,
use_sequence_length, name, attr, out, **kwargs)
File
~/miniconda3/envs/autogluon/lib/python3.8/site-packages/mxnet/_ctypes/symbol.py:143,
in _symbol_creator(handle, args, kwargs, keys, vals, name, is_np_op,
output_is_list)
142 elif kwargs:
--> 143 s._compose(name=name, **kwargs)
144 else:
File
~/miniconda3/envs/autogluon/lib/python3.8/site-packages/mxnet/symbol/symbol.py:507,
in Symbol._compose(self, *args, **kwargs)
506 args = c_handle_array(args)
--> 507 check_call(_LIB.MXSymbolCompose(
508 self.handle, name, num_args, keys, args))
File
~/miniconda3/envs/autogluon/lib/python3.8/site-packages/mxnet/base.py:246, in
check_call(ret)
245 if ret != 0:
--> 246 raise get_last_ffi_error()
MXNetError: Traceback (most recent call last):
[bt] (99)
/root/miniconda3/envs/autogluon/bin/python(_PyFunction_Vectorcall+0x594)
[0x555c22186bc4]
[bt] (98)
/root/miniconda3/envs/autogluon/bin/python(_PyEval_EvalCodeWithName+0x260)
[0x555c22185600]
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/root/miniconda3/envs/autogluon/bin/python(_PyEval_EvalFrameDefault+0x1f07)
[0x555c221918a7]
[bt] (96) /root/miniconda3/envs/autogluon/bin/python(PyObject_Call+0x319)
[0x555c220f04a9]
[bt] (95) /root/miniconda3/envs/autogluon/bin/python(+0x166bf8)
[0x555c2211fbf8]
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/root/miniconda3/envs/autogluon/bin/python(_PyFunction_Vectorcall+0x594)
[0x555c22186bc4]
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/root/miniconda3/envs/autogluon/bin/python(_PyEval_EvalCodeWithName+0x260)
[0x555c22185600]
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/root/miniconda3/envs/autogluon/bin/python(_PyEval_EvalFrameDefault+0x4c0)
[0x555c2218fe60]
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[0x555c221867e7]
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[0x555c2218fe60]
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/root/miniconda3/envs/autogluon/bin/python(_PyFunction_Vectorcall+0x1b7)
[0x555c221867e7]
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/root/miniconda3/envs/autogluon/bin/python(_PyEval_EvalFrameDefault+0x4c0)
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[0x555c22186bc4]
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/root/miniconda3/envs/autogluon/bin/python(_PyFunction_Vectorcall+0x594)
[0x555c22186bc4]
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/root/miniconda3/envs/autogluon/bin/python(_PyEval_EvalCodeWithName+0x260)
[0x555c22185600]
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/root/miniconda3/envs/autogluon/bin/python(_PyEval_EvalCodeWithName+0x260)
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/root/miniconda3/envs/autogluon/bin/python(_PyEval_EvalFrameDefault+0x1f07)
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/root/miniconda3/envs/autogluon/lib/python3.8/site-packages/mxnet/libmxnet.so(NNSymbolCompose+0x1c5)
[0x7fc8589fa8c5]
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/root/miniconda3/envs/autogluon/lib/python3.8/site-packages/mxnet/libmxnet.so(nnvm::Symbol::Compose(dmlc::array_view<nnvm::Symbol
const*> const&, std::unordered_map<std::string, nnvm::Symbol const*,
std::hash<std::string>, std::equal_to<std::string>,
std::allocator<std::pair<std::string const, nnvm::Symbol const*> > > const&,
std::string const&)+0x1ba5) [0x7fc858a0f875]
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/root/miniconda3/envs/autogluon/lib/python3.8/site-packages/mxnet/libmxnet.so(nnvm::KeywordArgumentMismatch(char
const*, std::vector<std::string, std::allocator<std::string> > const&,
dmlc::array_view<std::string> const&)+0x1ff) [0x7fc858a128ff]
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/root/miniconda3/envs/autogluon/lib/python3.8/site-packages/mxnet/libmxnet.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x4f)
[0x7fc8539b309f]
[14:28:38] /work/mxnet/3rdparty/tvm/nnvm/src/core/symbolic.cc:90:
Symbol.ComposeKeyword argument name state_cell not found.
Candidate arguments:
[0]data
[1]parameters
[2]state
[3]sequence_length
During handling of the above exception, another exception occurred:
ValueError Traceback (most recent call last)
Input In [1], in <cell line: 10>()
7 x = nd.random.uniform(shape=(2, 3, 2))
8 valid_length = nd.array([1, 2])
---> 10 print(net(x, sequence_length=nd.array([1, 2])))
File
~/miniconda3/envs/autogluon/lib/python3.8/site-packages/mxnet/gluon/rnn/rnn_layer.py:240,
in _RNNLayer.__call__(self, inputs, states, sequence_length, **kwargs)
237 states = [states]
239 if self._use_sequence_length:
--> 240 return super(_RNNLayer, self).__call__(inputs, states,
sequence_length, **kwargs)
241 else:
242 return super(_RNNLayer, self).__call__(inputs, states, **kwargs)
File
~/miniconda3/envs/autogluon/lib/python3.8/site-packages/mxnet/gluon/block.py:825,
in Block.__call__(self, *args)
822 for hook in self._forward_pre_hooks.values():
823 hook(self, args)
--> 825 out = self.forward(*args)
827 for hook in self._forward_hooks.values():
828 hook(self, args, out)
File
~/miniconda3/envs/autogluon/lib/python3.8/site-packages/mxnet/gluon/block.py:1497,
in HybridBlock.forward(self, x, *args)
1495 params = {k: v.data(ctx) for k, v in self._reg_params.items()}
1496 except DeferredInitializationError:
-> 1497 self._deferred_infer_shape(x, *args)
1498 for _, v in self.params.items():
1499 v._finish_deferred_init()
File
~/miniconda3/envs/autogluon/lib/python3.8/site-packages/mxnet/gluon/block.py:1196,
in HybridBlock._deferred_infer_shape(self, *args)
1193 except Exception as e:
1194 error_msg = "Deferred initialization failed because shape"\
1195 " cannot be inferred. {}".format(e)
-> 1196 raise ValueError(error_msg)
ValueError: Deferred initialization failed because shape cannot be inferred.
Traceback (most recent call last):
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/root/miniconda3/envs/autogluon/lib/python3.8/site-packages/mxnet/libmxnet.so(nnvm::Symbol::Compose(dmlc::array_view<nnvm::Symbol
const*> const&, std::unordered_map<std::string, nnvm::Symbol const*,
std::hash<std::string>, std::equal_to<std::string>,
std::allocator<std::pair<std::string const, nnvm::Symbol const*> > > const&,
std::string const&)+0x1ba5) [0x7fc858a0f875]
[bt] (1)
/root/miniconda3/envs/autogluon/lib/python3.8/site-packages/mxnet/libmxnet.so(nnvm::KeywordArgumentMismatch(char
const*, std::vector<std::string, std::allocator<std::string> > const&,
dmlc::array_view<std::string> const&)+0x1ff) [0x7fc858a128ff]
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[0x7fc8539b309f]
[14:28:38] /work/mxnet/3rdparty/tvm/nnvm/src/core/symbolic.cc:90:
Symbol.ComposeKeyword argument name state_cell not found.
Candidate arguments:
[0]data
[1]parameters
[2]state
[3]sequence_length
```
## To Reproduce
just run the code in the first section
## What have you tried to solve it?
```python
from mxnet import nd
from mxnet.gluon import rnn
# create a simple GRU network
net = rnn.GRU(hidden_size=1, num_layers=2, bidirectional=True, layout="NTC",
use_sequence_length=True)
net.initialize()
x = nd.random.uniform(shape=(2, 3, 2))
valid_length = nd.array([1, 2])
# try to perform deferred initialization without the sequence_length
parameter, that will fail of course
# because we specified use_sequence_length=True when we constructed the
network
# But in this process, the deferred initialization did finish
try:
net(x)
except Exception:
pass
# so this step can run successfully
print(net(x, sequence_length=nd.array([1, 2])))
```
so another method to avoid this bug is:
```python
from mxnet import nd
from mxnet.gluon import rnn
# create a simple GRU network, add input_size parameter to avoid deferred
initialization
net = rnn.GRU(hidden_size=1, num_layers=2, bidirectional=True, layout="NTC",
use_sequence_length=True, input_size=2)
net.initialize()
x = nd.random.uniform(shape=(2, 3, 2))
valid_length = nd.array([1, 2])
print(net(x, sequence_length=nd.array([1, 2])))
```
## Environment
***We recommend using our script for collecting the diagnostic information
with the following command***
`curl --retry 10 -s
https://raw.githubusercontent.com/apache/incubator-mxnet/master/tools/diagnose.py
| python3`
<details>
<summary>Environment Information</summary>
mxnet 1.9.1 python 3.8 osx and ubuntu
```
# Paste the diagnose.py command output here
```
(autogluon) /mnt/workspace> curl --retry 10 -s
https://raw.githubusercontent.com/apache/incubator-mxnet/master/tools/diagnose.py
| python3----------Python Info----------
Version : 3.8.13
Compiler : GCC 7.5.0
Build : ('default', 'Mar 28 2022 11:38:47')
Arch : ('64bit', 'ELF')
------------Pip Info-----------
Version : 22.1.2
Directory :
/root/miniconda3/envs/autogluon/lib/python3.8/site-packages/pip
----------MXNet Info-----------
Version : 1.9.1
Directory :
/root/miniconda3/envs/autogluon/lib/python3.8/site-packages/mxnet
Commit hash file
"/root/miniconda3/envs/autogluon/lib/python3.8/site-packages/mxnet/COMMIT_HASH"
not found. Not installed from pre-built package or built from source.
Library :
['/root/miniconda3/envs/autogluon/lib/python3.8/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-4.19.91-009.ali4000.alios7.x86_64-x86_64-with-glibc2.17
system : Linux
node : dsw37054-6dbb9d6d5b-5tjcl
release : 4.19.91-009.ali4000.alios7.x86_64
version : #1 SMP Mon Jan 25 10:47:38 CST 2021
----------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): 64
On-line CPU(s) list: 15,17,19,21,23,25,27
Off-line CPU(s) list: 0-14,16,18,20,22,24,26,28-63
Thread(s) per core: 0
Core(s) per socket: 32
Socket(s): 1
NUMA node(s): 1
Vendor ID: GenuineIntel
CPU family: 6
Model: 85
Model name: Intel(R) Xeon(R) Platinum 8163 CPU @ 2.50GHz
Stepping: 4
CPU MHz: 2499.996
BogoMIPS: 4999.99
Hypervisor vendor: KVM
Virtualization type: full
L1d cache: 32K
L1i cache: 32K
L2 cache: 1024K
L3 cache: 33792K
NUMA node0 CPU(s): 0-63
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge
mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm
constant_tsc rep_good nopl nonstop_tsc cpuid tsc_known_freq pni pclmulqdq
monitor ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt
tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm
3dnowprefetch invpcid_single ibrs ibpb stibp fsgsbase tsc_adjust bmi1 hle avx2
smep bmi2 erms invpcid rtm mpx avx512f avx512dq rdseed adx smap avx512cd
avx512bw avx512vl xsaveopt xsavec xgetbv1 arat
----------Network Test----------
Setting timeout: 10
Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0033
sec, LOAD: 1.0720 sec.
Error open Gluon Tutorial(en): http://gluon.mxnet.io, HTTP Error 404: Not
Found, DNS finished in 0.4433908462524414 sec.
Error open Gluon Tutorial(cn): https://zh.gluon.ai, <urlopen error [SSL:
CERTIFICATE_VERIFY_FAILED] certificate verify failed: certificate has expired
(_ssl.c:1131)>, DNS finished in 0.7784233093261719 sec.
Timing for FashionMNIST:
https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz,
DNS: 0.2974 sec, LOAD: 0.6419 sec.
Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0341 sec, LOAD:
3.1754 sec.
Error open Conda: https://repo.continuum.io/pkgs/free/, HTTP Error 403:
Forbidden, DNS finished in 0.5267374515533447 sec.
----------Environment----------
KMP_DUPLICATE_LIB_OK="True"
KMP_INIT_AT_FORK="FALSE"
</details>
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