Hi, first question here, sorry if wrong format/category:

I’m writing a custom op (using the custom-op Docker images mentioned in the tutorial/repo) which is trying to allocate a temporary during the op but hits a segfault, which I have a hard time to understand. The snippet where this happens is inside the `::Compute`

method of an `OpKernel`

, where I’ve got

```
Tensor *q_t;
const TensorShape &sh = TensorShape({sdr->sht->nlm});
OP_REQUIRES_OK(context, context->allocate_temp(DT_COMPLEX128, sh, q_t));
```

And that allocation results in a segfault:

```
Thread 1 "spharde_ops_tes" received signal SIGSEGV, Segmentation fault.
0x00007fe3c216b973 in tensorflow::OpKernelContext::allocate_tensor(tensorflow::DataType, tensorflow::TensorShape const&, tensorflow::Tensor*, tensorflow::AllocatorAttributes, tensorflow::AllocationAttributes const&) ()
from /usr/local/lib/python3.6/dist-packages/tensorflow/python/../libtensorflow_framework.so.2
```

with a backtrace like so

```
#0 0x00007fe3c216b973 in tensorflow::OpKernelContext::allocate_tensor(tensorflow::DataType, tensorflow::TensorShape const&, tensorflow::Tensor*, tensorflow::AllocatorAttributes, tensorflow::AllocationAttributes const&) ()
from /usr/local/lib/python3.6/dist-packages/tensorflow/python/../libtensorflow_framework.so.2
#1 0x00007fe3c216e696 in tensorflow::OpKernelContext::allocate_temp(tensorflow::DataType, tensorflow::TensorShape const&, tensorflow::Tensor*, tensorflow::AllocatorAttributes, tensorflow::AllocationAttributes const&) ()
from /usr/local/lib/python3.6/dist-packages/tensorflow/python/../libtensorflow_framework.so.2
#2 0x00007fe3a5895190 in tensorflow::OpKernelContext::allocate_temp (this=0x7ffe37e7d710, type=tensorflow::DT_COMPLEX128, shape=..., out_temp=0x5727690, allocator_attr=...)
at /usr/local/lib/python3.6/dist-packages/tensorflow/include/tensorflow/core/framework/op_kernel.h:1025
#3 0x00007fe3a5895217 in tensorflow::OpKernelContext::allocate_temp (this=0x7ffe37e7d710, type=tensorflow::DT_COMPLEX128, shape=..., out_temp=0x5727690) at /usr/local/lib/python3.6/dist-packages/tensorflow/include/tensorflow/core/framework/op_kernel.h:1029
#4 0x00007fe3a5899ae2 in ApplyShtDiffOp<Eigen::ThreadPoolDevice>::Compute (this=0x574e380, context=0x7ffe37e7d710) at tf_spharde/cc/kernels/shtdiff_kernels.cc:101
```

I could understand an out-of-memory or whatever but why the segfault? Any tips would be greatly appreciated.