haohuanw opened a new issue #19150:
URL: https://github.com/apache/incubator-mxnet/issues/19150
## Description
when running with built mxnet-1.7 with head of v1.7.x; if I create a model
with even number of channels in batch norm, I got the is_view check failure
when using mkldnn.
### Error Message
```
dev-dsk-haohuw-2c-3d588fe6 % MKLDNN_VERBOSE=1 bte python minimum_repro.py
input channel of 45
dnnl_verbose,info,oneDNN v1.6.0 (commit N/A)
dnnl_verbose,info,cpu,runtime:sequential
dnnl_verbose,info,cpu,isa:Intel AVX2
dnnl_verbose,info,gpu,runtime:none
dnnl_verbose,exec,cpu,convolution,gemm:jit,forward_inference,src_f32::blocked:abcde:f0
wei_f32::blocked:abcde:f0 bia_undef::undef::f0
dst_f32::blocked:abcde:f0,,alg:convolution_direct,mb1_ic3oc45_id8od8kd1sd1dd0pd0_ih160oh80kh7sh2dh0ph3_iw160ow80kw7sw2dw0pw3,46.7029
dnnl_verbose,exec,cpu,batch_normalization,ncsp_bnorm:any,forward_inference,data_f32::blocked:abcd:f0
diff_undef::undef::f0,,flags:GS,mb1ic45ih1iw51200,8.98315
input channel of 45, (1, 45, 8, 80, 80)
input channel of 64
dnnl_verbose,exec,cpu,reorder,jit:uni,undef,src_f32::blocked:abcde:f0
dst_f32::blocked:Acdeb8a:f0,,,64x3x1x7x7,0.0170898
dnnl_verbose,exec,cpu,convolution,jit:avx2,forward_inference,src_f32::blocked:abcde:f0
wei_f32::blocked:Acdeb8a:f0 bia_undef::undef::f0
dst_f32::blocked:aBcde8b:f0,,alg:convolution_direct,mb1_ic3oc64_id8od8kd1sd1dd0pd0_ih160oh80kh7sh2dh0ph3_iw160ow80kw7sw2dw0pw3,17.5981
dnnl_verbose,exec,cpu,reorder,jit:uni,undef,src_f32::blocked:abcde:f0
dst_f32::blocked:Acdeb8a:f0,,,64x3x1x7x7,0.0258789
Traceback (most recent call last):
File "minimum_repro.py", line 53, in <module>
out = net(input_data).asnumpy()
File
"/home/haohuw/vision-only-workspace/c2h_mainline/env/IhmPoseStateLib-1.0/test-runtime/lib/python3.6/site-packages/mxnet/ndarray/ndarray.py",
line 2566, in asnumpy
ctypes.c_size_t(data.size)))
File
"/home/haohuw/vision-only-workspace/c2h_mainline/env/IhmPoseStateLib-1.0/test-runtime/lib/python3.6/site-packages/mxnet/base.py",
line 246, in check_call
raise get_last_ffi_error()
mxnet.base.MXNetError: Traceback (most recent call last):
File
"/home/haohuw/vision-only-workspace/c2h_mainline/src/IhmMXNet/build/private/src/src/ndarray/ndarray.cc",
line 650
MXNetError: Check failed: !is_view:
```
## To Reproduce
(If you developed your own code, please provide a short script that
reproduces the error. For existing examples, please provide link.)
### Steps to reproduce
```
import logging
import os
from mxnet import init
from mxnet.context import cpu
from mxnet.gluon import nn
from mxnet.gluon.block import HybridBlock
from mxnet.gluon.nn import BatchNorm
import mxnet as mx
class BuggyModel(HybridBlock):
def __init__(
self,
channels,
norm_layer=BatchNorm,
norm_kwargs=None,
in_channels=3,
**kwargs
):
super(BuggyModel, self).__init__(**kwargs)
self.in_channels = in_channels
with self.name_scope():
self.conv1 = nn.Conv3D(
in_channels=self.in_channels,
channels=channels,
kernel_size=(1, 7, 7),
strides=(1, 2, 2),
padding=(0, 3, 3),
use_bias=False,
)
self.bn1 = norm_layer(in_channels=channels, **({} if norm_kwargs
is None else norm_kwargs))
def hybrid_forward(self, F, x):
"""Hybrid forward of R2+1D net"""
x = self.conv1(x)
x = self.bn1(x)
return x
print(f"input channel of 45")
net = BuggyModel(channels=45)
net.initialize(init=init.Constant(1))
input_data = mx.nd.zeros((1, 3, 8, 160, 160), ctx=mx.cpu())
out = net(input_data).asnumpy()
print(f"input channel of 45, {out.shape}")
print(f"input channel of 64")
net = BuggyModel(channels=64)
net.initialize(init=init.Constant(1))
input_data = mx.nd.zeros((1, 3, 8, 160, 160), ctx=mx.cpu())
out = net(input_data).asnumpy()
print(f"input channel of 64, {out.shape}")
```
## What have you tried to solve it?
1. build with 64f737cdd59fe88d2c5b479f25d011c5156b6a8a solves the issue for
now
## Environment
We recommend using our script for collecting the diagnositc information. Run
the following command and paste the outputs below:
```
curl --retry 10 -s
https://raw.githubusercontent.com/apache/incubator-mxnet/master/tools/diagnose.py
| python
dev-dsk-haohuw-2c-3d588fe6 % curl --retry 10 -s
https://raw.githubusercontent.com/apache/incubator-mxnet/master/tools/diagnose.py
| python
----------Python Info----------
Version : 3.6.11
Compiler : GCC 7.5.0
Build : ('default', 'Sep 11 2020 22:03:53')
Arch : ('64bit', 'ELF')
------------Pip Info-----------
No corresponding pip install for current python.
----------MXNet Info-----------
No MXNet installed.
----------System Info----------
Platform :
Linux-4.9.217-0.1.ac.205.84.332.metal1.x86_64-x86_64-with-redhat-5.3-Tikanga
system : Linux
node : dev-dsk-haohuw-2c-3d588fe6.us-west-2.amazon.com
release : 4.9.217-0.1.ac.205.84.332.metal1.x86_64
version : #1 SMP Thu Apr 2 15:19:24 UTC 2020
----------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): 8
On-line CPU(s) list: 0-7
Thread(s) per core: 2
Core(s) per socket: 4
Socket(s): 1
NUMA node(s): 1
Vendor ID: GenuineIntel
CPU family: 6
Model: 79
Stepping: 1
CPU MHz: 2699.945
BogoMIPS: 4600.13
Hypervisor vendor: Xen
Virtualization type: full
L1d cache: 32K
L1i cache: 32K
L2 cache: 256K
L3 cache: 46080K
NUMA node0 CPU(s): 0-7
----------Network Test----------
Setting timeout: 10
Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0018
sec, LOAD: 0.5492 sec.
Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.0429 sec, LOAD:
0.1730 sec.
Error open Gluon Tutorial(cn): https://zh.gluon.ai, <urlopen error [SSL:
CERTIFICATE_VERIFY_FAILED] certificate verify failed (_ssl.c:852)>, DNS
finished in 0.34314703941345215 sec.
Timing for FashionMNIST:
https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz,
DNS: 0.0204 sec, LOAD: 0.1066 sec.
Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0234 sec, LOAD:
0.4174 sec.
Error open Conda: https://repo.continuum.io/pkgs/free/, HTTP Error 403:
Forbidden, DNS finished in 0.010480880737304688 sec.
----------Environment----------
```
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