PureFrameworkTensorFoundError AttributeError: 'Tensor' object has no attribute 'child'

[phenomenal-manish]

After using the .get() function on each tensor in the list of features produced by an UXception encoder model which resides at the client worker(virtual worker on same machine), I pass this list of features through a decoder model. This is when I get the error as stated below.

---

PureFrameworkTensorFoundError Traceback (most recent call last)
~/anaconda3/envs/pysyft/lib/python3.7/site-packages/syft/frameworks/torch/tensors/interpreters/native.py in handle_func_command(cls, command)
340 new_args, new_kwargs, new_type, args_type = hook_args.unwrap_args_from_function(
--> 341 cmd, args_, kwargs_, return_args_type=True
342 )

~/anaconda3/envs/pysyft/lib/python3.7/site-packages/syft/generic/frameworks/hook/hook_args.py in unwrap_args_from_function(attr, args_, kwargs_, return_args_type)
156 # Try running it
--> 157 new_args = hook_args(args_)
158

~/anaconda3/envs/pysyft/lib/python3.7/site-packages/syft/generic/frameworks/hook/hook_args.py in (x)
355
--> 356 return lambda x: f(lambdas, x)
357

~/anaconda3/envs/pysyft/lib/python3.7/site-packages/syft/generic/frameworks/hook/hook_args.py in tuple_one_fold(lambdas, args_)
522 def tuple_one_fold(lambdas, args_):
--> 523 return (lambdas[0](args_[0], **kwargs),)
524

~/anaconda3/envs/pysyft/lib/python3.7/site-packages/syft/generic/frameworks/hook/hook_args.py in (i)
330 # Last if not, rule is probably == 1 so use type to return the right transformation.
--> 331 else lambda i: forward_functype(i)
332 for a, r in zip(args_, rules) # And do this for all the args / rules provided

~/anaconda3/envs/pysyft/lib/python3.7/site-packages/syft/frameworks/torch/hook/hook_args.py in (i)
23 if hasattr(i, "child")
---> 24 else (_ for _ in ()).throw(PureFrameworkTensorFoundError),
25 torch.nn.Parameter: lambda i: i.child

~/anaconda3/envs/pysyft/lib/python3.7/site-packages/syft/frameworks/torch/hook/hook_args.py in (.0)
23 if hasattr(i, "child")
---> 24 else (_ for _ in ()).throw(PureFrameworkTensorFoundError),
25 torch.nn.Parameter: lambda i: i.child

PureFrameworkTensorFoundError:

During handling of the above exception, another exception occurred:

AttributeError Traceback (most recent call last)
~/anaconda3/envs/pysyft/lib/python3.7/site-packages/syft/frameworks/torch/tensors/interpreters/native.py in handle_func_command(cls, command)
383 try:
--> 384 response = cls.get_response(cmd, args, kwargs_)
385 except AttributeError:

~/anaconda3/envs/pysyft/lib/python3.7/site-packages/syft/frameworks/torch/tensors/interpreters/native.py in get_response(cmd, args, kwargs_)
417 if isinstance(args_, tuple):
--> 418 response = command_method(*args_, **kwargs_)
419 else:

~/anaconda3/envs/pysyft/lib/python3.7/site-packages/torch/nn/functional.py in interpolate(input, size, scale_factor, mode, align_corners)
2508
-> 2509 if input.dim() == 3 and mode == 'nearest':
2510 return torch._C._nn.upsample_nearest1d(input, _output_size(1))

~/anaconda3/envs/pysyft/lib/python3.7/site-packages/syft/generic/frameworks/hook/hook.py in overloaded_native_method(self, *args, **kwargs)
173 # we can make some errors more descriptive with this method
--> 174 raise route_method_exception(e, self, args, kwargs)
175

~/anaconda3/envs/pysyft/lib/python3.7/site-packages/syft/generic/frameworks/hook/hook.py in overloaded_native_method(self, *args, **kwargs)
169 try:
--> 170 response = method(*args, **kwargs)
171

~/anaconda3/envs/pysyft/lib/python3.7/site-packages/syft/generic/frameworks/hook/tensors.py in dim(self)
106 def dim(self):
--> 107 return len(self.shape)
108

~/anaconda3/envs/pysyft/lib/python3.7/site-packages/syft/frameworks/torch/tensors/interpreters/native.py in shape(self)
136 if self.is_wrapper:
--> 137 return self.child.shape
138 else:

AttributeError: 'Tensor' object has no attribute 'child'

During handling of the above exception, another exception occurred:

AttributeError Traceback (most recent call last)
in
56
57 #4) make prediction on next model using recieved signal
---> 58 output = server_model(server_a)
59 break
60

~/anaconda3/envs/pysyft/lib/python3.7/site-packages/torch/nn/modules/module.py in call(self, *input, **kwargs)
530 result = self._slow_forward(*input, **kwargs)
531 else:
--> 532 result = self.forward(*input, **kwargs)
533 for hook in self._forward_hooks.values():
534 hook_result = hook(self, input, result)

in forward(self, features)
47 """Sequentially pass x trough model`s encoder, decoder and heads"""
48 #features = self.encoder(x)
---> 49 decoder_output = self.decoder(*features)
50
51 masks = self.segmentation_head(decoder_output)

~/anaconda3/envs/pysyft/lib/python3.7/site-packages/torch/nn/modules/module.py in call(self, *input, **kwargs)
530 result = self._slow_forward(*input, **kwargs)
531 else:
--> 532 result = self.forward(*input, **kwargs)
533 for hook in self._forward_hooks.values():
534 hook_result = hook(self, input, result)

in forward(self, *features)
110 for i, decoder_block in enumerate(self.blocks):
111 skip = skips[i] if i < len(skips) else None
--> 112 x = decoder_block(x, skip)
113
114 return x

~/anaconda3/envs/pysyft/lib/python3.7/site-packages/torch/nn/modules/module.py in call(self, *input, **kwargs)
530 result = self._slow_forward(*input, **kwargs)
531 else:
--> 532 result = self.forward(*input, **kwargs)
533 for hook in self._forward_hooks.values():
534 hook_result = hook(self, input, result)

in forward(self, x, skip)
27
28 def forward(self, x, skip=None):
---> 29 x = F.interpolate(x, scale_factor=2, mode="nearest")
30 if skip is not None:
31 x = torch.cat([x, skip], dim=1)

~/anaconda3/envs/pysyft/lib/python3.7/site-packages/syft/generic/frameworks/hook/hook.py in overloaded_func(*args, **kwargs)
338 handle_func_command = syft.framework.Tensor.handle_func_command
339
--> 340 response = handle_func_command(command)
341
342 return response

~/anaconda3/envs/pysyft/lib/python3.7/site-packages/syft/frameworks/torch/tensors/interpreters/native.py in handle_func_command(cls, command)
386 # Change the library path to avoid errors on layers like AvgPooling
387 cmd = cls.fix_torch_library(cmd)
--> 388 response = cls.get_response(cmd, args, kwargs)
389
390 return response

~/anaconda3/envs/pysyft/lib/python3.7/site-packages/syft/frameworks/torch/tensors/interpreters/native.py in get_response(cmd, args, kwargs_)
416
417 if isinstance(args_, tuple):
--> 418 response = command_method(*args_, **kwargs_)
419 else:
420 response = command_method(args_, **kwargs_)

~/anaconda3/envs/pysyft/lib/python3.7/site-packages/torch/nn/functional.py in interpolate(input, size, scale_factor, mode, align_corners)
2507 align_corners = False
2508
-> 2509 if input.dim() == 3 and mode == 'nearest':
2510 return torch._C._nn.upsample_nearest1d(input, _output_size(1))
2511 elif input.dim() == 4 and mode == 'nearest':

~/anaconda3/envs/pysyft/lib/python3.7/site-packages/syft/generic/frameworks/hook/hook.py in overloaded_native_method(self, *args, **kwargs)
172 except BaseException as e:
173 # we can make some errors more descriptive with this method
--> 174 raise route_method_exception(e, self, args, kwargs)
175
176 else: # means that there is a wrapper to remove

~/anaconda3/envs/pysyft/lib/python3.7/site-packages/syft/generic/frameworks/hook/hook.py in overloaded_native_method(self, *args, **kwargs)
168
169 try:
--> 170 response = method(*args, **kwargs)
171
172 except BaseException as e:

~/anaconda3/envs/pysyft/lib/python3.7/site-packages/syft/generic/frameworks/hook/tensors.py in dim(self)
105
106 def dim(self):
--> 107 return len(self.shape)
108
109 tensor_type.dim = dim

~/anaconda3/envs/pysyft/lib/python3.7/site-packages/syft/frameworks/torch/tensors/interpreters/native.py in shape(self)
135 def shape(self):
136 if self.is_wrapper:
--> 137 return self.child.shape
138 else:
139 return self.native_shape

AttributeError: 'Tensor' object has no attribute 'child'

[github-actions]

This issue has been marked stale because it has been open 30 days with no activity. Leave a comment or remove the stale label to unmark it. Otherwise, this will be closed in 7 days.

[cereallarceny]

Hello! Just letting you know that we are no longer planning on supporting anything on the 0.2.x product line and that all work should be ported over to 0.3.x, which is considered a complete rebuild of PySyft. Because of that, I'll be closing this issue. If you feel this is a mistake, or if the issue actually applies to 0.3.x as well, please feel free to ping me on Slack and I'll reopen the issue.

[deepquantum88]

but the problem is that version 0.3.x does not support torchhook. If it's supported please share an example.