szagoruyko / functional-zoo Goto Github PK

HDF5-DIAG: Error detected in HDF5 (1.8.16) thread 139655733122880:
  #000: ../../../src/H5G.c line 467 in H5Gopen2(): unable to open group
    major: Symbol table
    minor: Can't open object
  #001: ../../../src/H5Gint.c line 320 in H5G__open_name(): group not found
    major: Symbol table
    minor: Object not found
  #002: ../../../src/H5Gloc.c line 430 in H5G_loc_find(): can't find object
    major: Symbol table
    minor: Object not found
  #003: ../../../src/H5Gtraverse.c line 861 in H5G_traverse(): internal path traversal failed
    major: Symbol table
    minor: Object not found
  #004: ../../../src/H5Gtraverse.c line 641 in H5G_traverse_real(): traversal operator failed
    major: Symbol table
    minor: Callback failed
  #005: ../../../src/H5Gloc.c line 385 in H5G_loc_find_cb(): object 'data_0' doesn't exist
    major: Symbol table
    minor: Object not found
terminate called after throwing an instance of 'H5::FileIException'
Aborted (core dumped)

 elif VER_MAJOR == 2:
                    if six.PY2:
                        warnings.warn("Hickle file appears to be old version (v2), attempting legacy loading...")
                        import hickle_legacy2
                        return hickle_legacy2.load(fileobj, safe=safe)
                    else:
                        raise RuntimeError("Cannot open file. This file was likely"
                                           " created with Python 2 and an old hickle version.")
                # There is an unfortunate period of time where hickle 2.1.0 claims VERSION = int(3)
                # For backward compatibility we really need to catch this.
                # Actual hickle v3 files are versioned as A.B.C (e.g. 3.1.0)

input=torch.randn(1,3,224,224)  
model=models.resnet18(pretrained=True)
for param in model.parameters():
     param.requires_grad = True
params = model.state_dict()
y=model(Variable(input))
print y
dot=make_dot(y, params)

params = model.state_dict()
for k in sorted(params.keys()):
	v = params[k]
	params[k] = autograd.Variable(v, requires_grad=True)

TypeError: Don't know how to create Python object for N5torch8autograd8VariableE

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "<stdin>", line 15, in add_nodes
  File "<stdin>", line 15, in add_nodes
  File "<stdin>", line 15, in add_nodes
  File "<stdin>", line 15, in add_nodes
  File "<stdin>", line 11, in add_nodes

>>> def add_nodes(var):
...         print(var)
...         print("didthatone")
...         if var not in seen:
...             if isinstance(var, Variable):
...                 value = '('+(', ').join(['%d'% v for v in var.size()])+')'
...                 dot.node(str(id(var)), str(value), fillcolor='lightblue')
...             else:
...                 dot.node(str(id(var)), str(type(var).__name__))
...             seen.add(var)
...             if hasattr(var, 'previous_functions'):
...                 for u in var.previous_functions:
...                     print(u)
...                     dot.edge(str(id(u[0])), str(id(var)))
...                     add_nodes(u[0])

---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
<ipython-input-10-b7f0e150648d> in <module>()
      1 from visualize import make_dot
----> 2 make_dot(loss)

/home/carnd/basic_pytorch/visualize.py in make_dot(var, params)
     55                     dot.edge(str(id(t)), str(id(var)))
     56                     add_nodes(t)
---> 57     add_nodes(var.grad_fn)
     58     return dot

/home/carnd/basic_pytorch/visualize.py in add_nodes(var)
     50                     if u[0] is not None:
     51                         dot.edge(str(id(u[0])), str(id(var)))
---> 52                         add_nodes(u[0])
     53             if hasattr(var, 'saved_tensors'):
     54                 for t in var.saved_tensors:

/home/carnd/basic_pytorch/visualize.py in add_nodes(var)
     50                     if u[0] is not None:
     51                         dot.edge(str(id(u[0])), str(id(var)))
---> 52                         add_nodes(u[0])
     53             if hasattr(var, 'saved_tensors'):
     54                 for t in var.saved_tensors:

/home/carnd/basic_pytorch/visualize.py in add_nodes(var)
     50                     if u[0] is not None:
     51                         dot.edge(str(id(u[0])), str(id(var)))
---> 52                         add_nodes(u[0])
     53             if hasattr(var, 'saved_tensors'):
     54                 for t in var.saved_tensors:

/home/carnd/basic_pytorch/visualize.py in add_nodes(var)
     50                     if u[0] is not None:
     51                         dot.edge(str(id(u[0])), str(id(var)))
---> 52                         add_nodes(u[0])
     53             if hasattr(var, 'saved_tensors'):
     54                 for t in var.saved_tensors:

/home/carnd/basic_pytorch/visualize.py in add_nodes(var)
     50                     if u[0] is not None:
     51                         dot.edge(str(id(u[0])), str(id(var)))
---> 52                         add_nodes(u[0])
     53             if hasattr(var, 'saved_tensors'):
     54                 for t in var.saved_tensors:

/home/carnd/basic_pytorch/visualize.py in add_nodes(var)
     51                         dot.edge(str(id(u[0])), str(id(var)))
     52                         add_nodes(u[0])
---> 53             if hasattr(var, 'saved_tensors'):
     54                 for t in var.saved_tensors:
     55                     dot.edge(str(id(t)), str(id(var)))

RuntimeError: Trying to backward through the graph a second time, but the buffers have already been freed. Specify retain_graph=True when calling backward the first time.