I have the following error in the training data. Can you help me to solve it? Thanks!
H0203 opened this issue · 2 comments
Hi,
first of all thanks for the implementation, very useful to understand the paper and compare with own implementation !
I have the following error in the training data. Can you help me to solve it? Thanks!
FailedPreconditionError: Attempting to use uninitialized value conv2d_1/kernel
[[Node: conv2d_1/kernel/read = IdentityT=DT_FLOAT, _class=["loc:@conv2d_1/kernel"], _device="/job:localhost/replica:0/task:0/cpu:0"]]
Caused by op 'conv2d_1/kernel/read', defined at:
File "C:\ProgramData\Anaconda3\lib\runpy.py", line 193, in _run_module_as_main
"main", mod_spec)
File "C:\ProgramData\Anaconda3\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "C:\ProgramData\Anaconda3\lib\site-packages\ipykernel_launcher.py", line 16, in
app.launch_new_instance()
File "C:\ProgramData\Anaconda3\lib\site-packages\traitlets\config\application.py", line 658, in launch_instance
app.start()
File "C:\ProgramData\Anaconda3\lib\site-packages\ipykernel\kernelapp.py", line 477, in start
ioloop.IOLoop.instance().start()
File "C:\ProgramData\Anaconda3\lib\site-packages\zmq\eventloop\ioloop.py", line 177, in start
super(ZMQIOLoop, self).start()
File "C:\ProgramData\Anaconda3\lib\site-packages\tornado\ioloop.py", line 888, in start
handler_func(fd_obj, events)
File "C:\ProgramData\Anaconda3\lib\site-packages\tornado\stack_context.py", line 277, in null_wrapper
return fn(*args, **kwargs)
File "C:\ProgramData\Anaconda3\lib\site-packages\zmq\eventloop\zmqstream.py", line 440, in _handle_events
self._handle_recv()
File "C:\ProgramData\Anaconda3\lib\site-packages\zmq\eventloop\zmqstream.py", line 472, in _handle_recv
self._run_callback(callback, msg)
File "C:\ProgramData\Anaconda3\lib\site-packages\zmq\eventloop\zmqstream.py", line 414, in _run_callback
callback(*args, **kwargs)
File "C:\ProgramData\Anaconda3\lib\site-packages\tornado\stack_context.py", line 277, in null_wrapper
return fn(*args, **kwargs)
File "C:\ProgramData\Anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 283, in dispatcher
return self.dispatch_shell(stream, msg)
File "C:\ProgramData\Anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 235, in dispatch_shell
handler(stream, idents, msg)
File "C:\ProgramData\Anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 399, in execute_request
user_expressions, allow_stdin)
File "C:\ProgramData\Anaconda3\lib\site-packages\ipykernel\ipkernel.py", line 196, in do_execute
res = shell.run_cell(code, store_history=store_history, silent=silent)
File "C:\ProgramData\Anaconda3\lib\site-packages\ipykernel\zmqshell.py", line 533, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
File "C:\ProgramData\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2717, in run_cell
interactivity=interactivity, compiler=compiler, result=result)
File "C:\ProgramData\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2821, in run_ast_nodes
if self.run_code(code, result):
File "C:\ProgramData\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2881, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "", line 29, in
convnet.add(Conv2D(64,(10,10),activation='relu',input_shape=input_shape,kernel_initializer=W_init,kernel_regularizer=l2(2e-4)))
File "C:\ProgramData\Anaconda3\lib\site-packages\keras\models.py", line 442, in add
layer(x)
File "C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\topology.py", line 575, in call
self.build(input_shapes[0])
File "C:\ProgramData\Anaconda3\lib\site-packages\keras\layers\convolutional.py", line 134, in build
constraint=self.kernel_constraint)
File "C:\ProgramData\Anaconda3\lib\site-packages\keras\legacy\interfaces.py", line 87, in wrapper
return func(*args, **kwargs)
File "C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\topology.py", line 399, in add_weight
constraint=constraint)
File "C:\ProgramData\Anaconda3\lib\site-packages\keras\backend\tensorflow_backend.py", line 316, in variable
v = tf.Variable(value, dtype=_convert_string_dtype(dtype), name=name)
File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\ops\variables.py", line 200, in init
expected_shape=expected_shape)
File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\ops\variables.py", line 319, in _init_from_args
self._snapshot = array_ops.identity(self._variable, name="read")
File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\ops\gen_array_ops.py", line 1303, in identity
result = _op_def_lib.apply_op("Identity", input=input, name=name)
File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 767, in apply_op
op_def=op_def)
File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 2506, in create_op
original_op=self._default_original_op, op_def=op_def)
File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 1269, in init
self._traceback = _extract_stack()
FailedPreconditionError (see above for traceback): Attempting to use uninitialized value conv2d_1/kernel
[[Node: conv2d_1/kernel/read = IdentityT=DT_FLOAT, _class=["loc:@conv2d_1/kernel"], _device="/job:localhost/replica:0/task:0/cpu:0"]]
I can reproduce this error when I'm using tensorflow 1.0.0, but using tensorflow 1.4.0 and keras 2.1.1 it works for me. Try using a more recent version of keras and tensorflow and tell me how it goes.
Thank you very much for your answer. Through your hint, I've updated tensorflow 1.4.0, and now I can run this code.
Then,I have a small request. Can you give me a look at your trained weight file? Because of the longer training time, I want to get into the next section of the code faster. Thank you again for your help.