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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2020/02/20 19:39:19 UTC
[GitHub] [incubator-mxnet] ZheyuYe opened a new issue #17638: [Numpy]
unknown type_flag=7
ZheyuYe opened a new issue #17638: [Numpy] unknown type_flag=7
URL: https://github.com/apache/incubator-mxnet/issues/17638
## Description
A series of issues related to `kBool` occured afther the pull #17438 and [#4571](https://github.com/apache/incubator-tvm/pull/4571/) in tvm. This is, after all, a serious problem that makes many of deep numpy's features unusable.
Here is a simple error case.
### Error Message
```
---------------------------------------------------------------------------
MXNetError Traceback (most recent call last)
<ipython-input-2-48e3c90810f4> in <module>
17 foo = Foo()
18 foo.hybridize()
---> 19 out = foo(mx.np.ones((10,), ctx=mx.gpu()))
~/incubator-mxnet/python/mxnet/gluon/block.py in __call__(self, *args)
680 hook(self, args)
681
--> 682 out = self.forward(*args)
683
684 for hook in self._forward_hooks.values():
~/incubator-mxnet/python/mxnet/gluon/block.py in forward(self, x, *args)
1175 'Find all contexts = {}'.format(ctx_set))
1176 with ctx:
-> 1177 return self._call_cached_op(x, *args)
1178 with ctx:
1179 try:
~/incubator-mxnet/python/mxnet/gluon/block.py in _call_cached_op(self, *args)
1022 cargs = [args_without_none[i] if is_arg else i.data()
1023 for is_arg, i in self._cached_op_args]
-> 1024 out = self._cached_op(*cargs)
1025 if isinstance(out, NDArray):
1026 out = [out]
~/incubator-mxnet/python/mxnet/_ctypes/ndarray.py in __call__(self, *args, **kwargs)
167 ctypes.byref(num_output),
168 ctypes.byref(output_vars),
--> 169 ctypes.byref(out_stypes)))
170
171 if original_output is not None:
~/incubator-mxnet/python/mxnet/base.py in check_call(ret)
244 """
245 if ret != 0:
--> 246 raise get_last_ffi_error()
247
248
MXNetError: Traceback (most recent call last):
File "../src/nnvm/plan_memory.cc", line 58
MXNetError: unknown type_flag=7
```
## To Reproduce
```
import mxnet as mx
import numpy as np
from numpy.testing import assert_allclose
from mxnet.gluon import HybridBlock
mx.npx.set_np()
class Foo(HybridBlock):
def __init__(self, prefix=None, params=None):
super(Foo, self).__init__(prefix=prefix, params=params)
def hybrid_forward(self, F, valid_length):
mask = (F.np.ones((10,)) < valid_length).astype(np.float32)
mask2 = (F.np.ones((10,)) < valid_length).astype(np.float32)
mask = mask * F.np.expand_dims(mask2, axis=-1)
return mask
foo = Foo()
foo.hybridize()
out = foo(mx.np.ones((10,), ctx=mx.gpu()))
```
## Comments
@sxjscience @yzhliu
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[GitHub] [incubator-mxnet] sxjscience commented on issue #17638: [Numpy]
unknown type_flag=7
Posted by GitBox <gi...@apache.org>.
sxjscience commented on issue #17638: [Numpy] unknown type_flag=7
URL: https://github.com/apache/incubator-mxnet/issues/17638#issuecomment-589329816
I find it could be further simplified:
```python
import mxnet as mx
import numpy as np
from numpy.testing import assert_allclose
from mxnet.gluon import HybridBlock
mx.npx.set_np()
class Foo(HybridBlock):
def __init__(self, prefix=None, params=None):
super(Foo, self).__init__(prefix=prefix, params=params)
def hybrid_forward(self, F, valid_length):
mask = (F.np.ones((10,)) < valid_length).astype(np.float32)
return mask
foo = Foo()
foo.hybridize()
out = foo(mx.np.ones((10,), ctx=mx.gpu()))
print(out)
```
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[GitHub] [incubator-mxnet] yzhliu edited a comment on issue #17638: [Numpy]
unknown type_flag=7
Posted by GitBox <gi...@apache.org>.
yzhliu edited a comment on issue #17638: [Numpy] unknown type_flag=7
URL: https://github.com/apache/incubator-mxnet/issues/17638#issuecomment-589325837
looking into it. thanks for reporting.
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[GitHub] [incubator-mxnet] reminisce closed issue #17638: [Numpy] unknown
type_flag=7
Posted by GitBox <gi...@apache.org>.
reminisce closed issue #17638: [Numpy] unknown type_flag=7
URL: https://github.com/apache/incubator-mxnet/issues/17638
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[GitHub] [incubator-mxnet] sxjscience commented on issue #17638: [Numpy]
unknown type_flag=7
Posted by GitBox <gi...@apache.org>.
sxjscience commented on issue #17638: [Numpy] unknown type_flag=7
URL: https://github.com/apache/incubator-mxnet/issues/17638#issuecomment-589367294
```python
import mxnet as mx
import numpy as np
import os
from numpy.testing import assert_allclose
from mxnet.gluon import HybridBlock
mx.npx.set_np()
os.environ['DMLC_LOG_STACK_TRACE_DEPTH'] = '30'
class Foo(HybridBlock):
def __init__(self, prefix=None, params=None):
super(Foo, self).__init__(prefix=prefix, params=params)
def hybrid_forward(self, F, valid_length):
mask = (F.np.ones((10,)) < valid_length).astype(np.float32)
return mask
foo = Foo()
foo.hybridize()
out = foo(mx.np.ones((10,), ctx=mx.gpu()))
print(out)
```
```
MXNetError: Traceback (most recent call last):
[bt] (12) libmxnet.so(MXInvokeCachedOpEx+0x60) [0x7fce362ab420]
[bt] (11) libmxnet.so(MXInvokeCachedOp+0x42e) [0x7fce362aad4e]
[bt] (10) libmxnet.so(mxnet::CachedOp::Forward(std::shared_ptr<mxnet::CachedOp> const&, std::vector<mxnet::NDArray*, std::allocator<mxnet::NDArray*> > const&, std::vector<mxnet::NDArray*, std::allocator<mxnet::NDArray*> > const&)+0xc77) [0x7fce36421d27]
[bt] (9) libmxnet.so(mxnet::CachedOp::DynamicForward(mxnet::Context const&, std::vector<mxnet::NDArray*, std::allocator<mxnet::NDArray*> > const&, std::vector<mxnet::NDArray*, std::allocator<mxnet::NDArray*> > const&, bool)+0x20c) [0x7fce3641973c]
[bt] (8) libmxnet.so(mxnet::CachedOp::SetForwardGraph(mxnet::CachedOp::GraphInfo*, bool, std::vector<mxnet::NDArray*, std::allocator<mxnet::NDArray*> > const&)+0x965) [0x7fce36418525]
[bt] (7) libmxnet.so(mxnet::imperative::MXPlanMemory(nnvm::Graph*, std::vector<int, std::allocator<int> >&&, std::vector<unsigned int, std::allocator<unsigned int> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::pair<unsigned int, unsigned int> const&, std::pair<unsigned int, unsigned int> const&, bool)+0x1e8) [0x7fce3642f598]
[bt] (6) libmxnet.so(nnvm::ApplyPass(nnvm::Graph, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)+0x213) [0x7fce362d0ab3]
[bt] (5) libmxnet.so(nnvm::ApplyPasses(nnvm::Graph, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&)+0xecd) [0x7fce3a0b87bd]
[bt] (4) libmxnet.so(std::_Function_handler<nnvm::Graph (nnvm::Graph), nnvm::Graph (*)(nnvm::Graph)>::_M_invoke(std::_Any_data const&, nnvm::Graph&&)+0x10a) [0x7fce365e6b9a]
[bt] (3) libmxnet.so(+0x1f279d0) [0x7fce366169d0]
[bt] (2) libmxnet.so(+0x1f26a6e) [0x7fce36615a6e]
[bt] (1) libmxnet.so(+0x1f2424d) [0x7fce3661324d]
[bt] (0) libmxnet.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x72) [0x7fce3622b982]
File "../src/nnvm/plan_memory.cc", line 58
MXNetError: unknown type_flag=7
```
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[GitHub] [incubator-mxnet] yzhliu commented on issue #17638: [Numpy] unknown
type_flag=7
Posted by GitBox <gi...@apache.org>.
yzhliu commented on issue #17638: [Numpy] unknown type_flag=7
URL: https://github.com/apache/incubator-mxnet/issues/17638#issuecomment-589325837
looking into it
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