CODEWITHSUNDEEP
pythonpython-3.xtensorflow
Albert
Albert

Reputation: 399

Tensorflow function that gives 1 for the values in a range

I am trying to write a function based on Tensorflow to give output 1 if the value is between minval and maxval, and gives output 0 otherwise.

I use the graph structure that first finds all values below maxval and all values above minval and uses logical and. 

import tensorflow as tf
def betweentf(inp,minval,maxval):
    x=tf.Variable(inp,name='x',dtype=tf.float32)
    z1=tf.math.greater(x,minval,name='mygreater')
    z2=tf.math.less(x,maxval,name='myless')
    z=tf.math.logical_and(z1,z2)
    out=tf.cast(z, tf.float32)
    return out

x=tf.Variable([1,2,3,4,5,6,7],name='x',dtype=tf.float32)
r=betweentf(x,1,3)
sess=tf.Session()
sess.run(x.initializer)
result=sess.run(r)
print(result)
sess.close()

I am not sure what the problem is. Here is the error:

---------------------------------------------------------------------------
FailedPreconditionError                   Traceback (most recent call last)
~\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\client\session.py in _do_call(self, fn, *args)
   1355     try:
-> 1356       return fn(*args)
   1357     except errors.OpError as e:

~\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\client\session.py in _run_fn(feed_dict, fetch_list, target_list, options, run_metadata)
   1340       return self._call_tf_sessionrun(
-> 1341           options, feed_dict, fetch_list, target_list, run_metadata)
   1342 

~\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\client\session.py in _call_tf_sessionrun(self, options, feed_dict, fetch_list, target_list, run_metadata)
   1428         self._session, options, feed_dict, fetch_list, target_list,
-> 1429         run_metadata)
   1430 

FailedPreconditionError: Attempting to use uninitialized value x_4
     [[{{node x_4/read}}]]

During handling of the above exception, another exception occurred:

FailedPreconditionError                   Traceback (most recent call last)
<ipython-input-5-2d5235662348> in <module>
     12 sess=tf.Session()
     13 sess.run(x.initializer)
---> 14 result=sess.run(r)
     15 print(result)
     16 sess.close()

~\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\client\session.py in run(self, fetches, feed_dict, options, run_metadata)
    948     try:
    949       result = self._run(None, fetches, feed_dict, options_ptr,
--> 950                          run_metadata_ptr)
    951       if run_metadata:
    952         proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)

~\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\client\session.py in _run(self, handle, fetches, feed_dict, options, run_metadata)
   1171     if final_fetches or final_targets or (handle and feed_dict_tensor):
   1172       results = self._do_run(handle, final_targets, final_fetches,
-> 1173                              feed_dict_tensor, options, run_metadata)
   1174     else:
   1175       results = []

~\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\client\session.py in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)
   1348     if handle is None:
   1349       return self._do_call(_run_fn, feeds, fetches, targets, options,
-> 1350                            run_metadata)
   1351     else:
   1352       return self._do_call(_prun_fn, handle, feeds, fetches)

~\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\client\session.py in _do_call(self, fn, *args)
   1368           pass
   1369       message = error_interpolation.interpolate(message, self._graph)
-> 1370       raise type(e)(node_def, op, message)
   1371 
   1372   def _extend_graph(self):

FailedPreconditionError: Attempting to use uninitialized value x_4
     [[node x_4/read (defined at <ipython-input-5-2d5235662348>:3) ]]

Original stack trace for 'x_4/read':
  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 <module>
    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 505, in start
    self.io_loop.start()
  File "C:\ProgramData\Anaconda3\lib\site-packages\tornado\platform\asyncio.py", line 148, in start
    self.asyncio_loop.run_forever()
  File "C:\ProgramData\Anaconda3\lib\asyncio\base_events.py", line 539, in run_forever
    self._run_once()
  File "C:\ProgramData\Anaconda3\lib\asyncio\base_events.py", line 1775, in _run_once
    handle._run()
  File "C:\ProgramData\Anaconda3\lib\asyncio\events.py", line 88, in _run
    self._context.run(self._callback, *self._args)
  File "C:\ProgramData\Anaconda3\lib\site-packages\tornado\ioloop.py", line 690, in <lambda>
    lambda f: self._run_callback(functools.partial(callback, future))
  File "C:\ProgramData\Anaconda3\lib\site-packages\tornado\ioloop.py", line 743, in _run_callback
    ret = callback()
  File "C:\ProgramData\Anaconda3\lib\site-packages\tornado\gen.py", line 787, in inner
    self.run()
  File "C:\ProgramData\Anaconda3\lib\site-packages\tornado\gen.py", line 748, in run
    yielded = self.gen.send(value)
  File "C:\ProgramData\Anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 365, in process_one
    yield gen.maybe_future(dispatch(*args))
  File "C:\ProgramData\Anaconda3\lib\site-packages\tornado\gen.py", line 209, in wrapper
    yielded = next(result)
  File "C:\ProgramData\Anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 272, in dispatch_shell
    yield gen.maybe_future(handler(stream, idents, msg))
  File "C:\ProgramData\Anaconda3\lib\site-packages\tornado\gen.py", line 209, in wrapper
    yielded = next(result)
  File "C:\ProgramData\Anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 542, in execute_request
    user_expressions, allow_stdin,
  File "C:\ProgramData\Anaconda3\lib\site-packages\tornado\gen.py", line 209, in wrapper
    yielded = next(result)
  File "C:\ProgramData\Anaconda3\lib\site-packages\ipykernel\ipkernel.py", line 294, 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 536, in run_cell
    return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
  File "C:\ProgramData\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2854, in run_cell
    raw_cell, store_history, silent, shell_futures)
  File "C:\ProgramData\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2880, in _run_cell
    return runner(coro)
  File "C:\ProgramData\Anaconda3\lib\site-packages\IPython\core\async_helpers.py", line 68, in _pseudo_sync_runner
    coro.send(None)
  File "C:\ProgramData\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 3057, in run_cell_async
    interactivity=interactivity, compiler=compiler, result=result)
  File "C:\ProgramData\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 3248, in run_ast_nodes
    if (await self.run_code(code, result,  async_=asy)):
  File "C:\ProgramData\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 3325, in run_code
    exec(code_obj, self.user_global_ns, self.user_ns)
  File "<ipython-input-5-2d5235662348>", line 11, in <module>
    r=betweentf(x,1,3)
  File "<ipython-input-5-2d5235662348>", line 3, in betweentf
    x=tf.Variable(inp,name='x',dtype=tf.float32)
  File "C:\Users\r.jack\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\ops\variables.py", line 259, in __call__
    return cls._variable_v1_call(*args, **kwargs)
  File "C:\Users\r.jack\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\ops\variables.py", line 220, in _variable_v1_call
    shape=shape)
  File "C:\Users\r.jack\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\ops\variables.py", line 198, in <lambda>
    previous_getter = lambda **kwargs: default_variable_creator(None, **kwargs)
  File "C:\Users\r.jack\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\ops\variable_scope.py", line 2511, in default_variable_creator
    shape=shape)
  File "C:\Users\r.jack\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\ops\variables.py", line 263, in __call__
    return super(VariableMetaclass, cls).__call__(*args, **kwargs)
  File "C:\Users\r.jack\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\ops\variables.py", line 1568, in __init__
    shape=shape)
  File "C:\Users\r.jack\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\ops\variables.py", line 1755, in _init_from_args
    self._snapshot = array_ops.identity(self._variable, name="read")
  File "C:\Users\r.jack\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\util\dispatch.py", line 180, in wrapper
    return target(*args, **kwargs)
  File "C:\Users\r.jack\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\ops\array_ops.py", line 86, in identity
    ret = gen_array_ops.identity(input, name=name)
  File "C:\Users\r.jack\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\ops\gen_array_ops.py", line 4996, in identity
    "Identity", input=input, name=name)
  File "C:\Users\r.jack\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\framework\op_def_library.py", line 788, in _apply_op_helper
    op_def=op_def)
  File "C:\Users\r.jack\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\util\deprecation.py", line 507, in new_func
    return func(*args, **kwargs)
  File "C:\Users\r.jack\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\framework\ops.py", line 3616, in create_op
    op_def=op_def)
  File "C:\Users\r.jack\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\framework\ops.py", line 2005, in __init__
    self._traceback = tf_stack.extract_stack()

Question 1: How can I fix it?

Question 2: Any easier way to implement this?

Upvotes: 0

Views: 88

Answers (1)

thushv89
thushv89

Reputation: 11333

Question 1

I am not sure what you expect by trying to create another tf.variable (i.e. inp) with a tf.variable (i.e. x). If you remove that, your code should work.

import tensorflow as tf

def betweentf(inp,minval,maxval):    
    z1=tf.math.greater(inp,minval,name='mygreater')
    z2=tf.math.less(inp,maxval,name='myless')
    z=tf.math.logical_and(z1,z2)
    out=tf.cast(z, tf.float32)
    return out

x=tf.Variable([1,2,3,4,5,6,7],name='x',dtype=tf.float32)
r=betweentf(x,1,3)
sess=tf.Session()
sess.run(x.initializer)
result=sess.run(r)
print(result)
sess.close()

Question 2

I can't really think of another way.

Upvotes: 2

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