python - TensorFlow 缺少 FFT 的 CPU 运算(InvalidArgumentError : No OpKernel was registered to support Op 'FFT' with these attrs)

Question

我是 tensorflow 新手，想要创建一个对实际数据执行 fft 的图，类似于 numpys rfft 函数:

def rfftOp(_in, name='rfft', graph=tf.get_default_graph()):    
    with graph.as_default():
        with tf.device('/cpu:0'):
            with tf.name_scope(name):
                cast = tf.complex(tf.cast(_in, tf.float32, name='cast_to_float32'), tf.constant(0.0, dtype=tf.float32), name='cast_to_complex')
                fftOp = tf.fft(cast, name='fft')
                half, _ = tf.split(0, 2, fftOp, name='split')
                double = tf.mul(tf.constant(2.0, dtype=tf.complex64), half)
                return double

sess = tf.InteractiveSession()
inp = tf.placeholder(np.float64, shape=(256,), name='input')
fftOp = rfftOp(inp)
print(sess.run(fftOp, feed_dict={inp: d}))

但是，我收到以下错误消息:

---------------------------------------------------------------------------
InvalidArgumentError                      Traceback (most recent call last)
<ipython-input-18-0f6d789c912c> in <module>()
      6 inp = tf.placeholder(np.float64, shape=(256,), name='input')
      7 fftOp = rfftOp(inp)
----> 8 print(sess.run(fftOp, feed_dict={inp: d}))

/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.pyc in run(self, fetches, feed_dict, options, run_metadata)
    338     try:
    339       result = self._run(None, fetches, feed_dict, options_ptr,
--> 340                          run_metadata_ptr)
    341       if run_metadata:
    342         proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)

/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.pyc in _run(self, handle, fetches, feed_dict, options, run_metadata)
    562     try:
    563       results = self._do_run(handle, target_list, unique_fetches,
--> 564                              feed_dict_string, options, run_metadata)
    565     finally:
    566       # The movers are no longer used. Delete them.

/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.pyc in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)
    635     if handle is None:
    636       return self._do_call(_run_fn, self._session, feed_dict, fetch_list,
--> 637                            target_list, options, run_metadata)
    638     else:
    639       return self._do_call(_prun_fn, self._session, handle, feed_dict,

/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.pyc in _do_call(self, fn, *args)
    657       # pylint: disable=protected-access
    658       raise errors._make_specific_exception(node_def, op, error_message,
--> 659                                             e.code)
    660       # pylint: enable=protected-access
    661 

InvalidArgumentError: No OpKernel was registered to support Op 'FFT' with these attrs
     [[Node: rfft_4/fft = FFT[_device="/device:CPU:0"](rfft_4/cast_to_complex)]]
Caused by op u'rfft_4/fft', defined at:
  File "/usr/lib/python2.7/runpy.py", line 162, in _run_module_as_main
    "__main__", fname, loader, pkg_name)
  File "/usr/lib/python2.7/runpy.py", line 72, in _run_code
    exec code in run_globals
  File "/usr/local/lib/python2.7/dist-packages/ipykernel/__main__.py", line 3, in <module>
    app.launch_new_instance()
  File "/usr/local/lib/python2.7/dist-packages/traitlets/config/application.py", line 596, in launch_instance
    app.start()
  File "/usr/local/lib/python2.7/dist-packages/ipykernel/kernelapp.py", line 442, in start
    ioloop.IOLoop.instance().start()
  File "/usr/local/lib/python2.7/dist-packages/zmq/eventloop/ioloop.py", line 162, in start
    super(ZMQIOLoop, self).start()
  File "/usr/local/lib/python2.7/dist-packages/tornado/ioloop.py", line 883, in start
    handler_func(fd_obj, events)
  File "/usr/local/lib/python2.7/dist-packages/tornado/stack_context.py", line 275, in null_wrapper
    return fn(*args, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/zmq/eventloop/zmqstream.py", line 440, in _handle_events
    self._handle_recv()
  File "/usr/local/lib/python2.7/dist-packages/zmq/eventloop/zmqstream.py", line 472, in _handle_recv
    self._run_callback(callback, msg)
  File "/usr/local/lib/python2.7/dist-packages/zmq/eventloop/zmqstream.py", line 414, in _run_callback
    callback(*args, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/tornado/stack_context.py", line 275, in null_wrapper
    return fn(*args, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/ipykernel/kernelbase.py", line 276, in dispatcher
    return self.dispatch_shell(stream, msg)
  File "/usr/local/lib/python2.7/dist-packages/ipykernel/kernelbase.py", line 228, in dispatch_shell
    handler(stream, idents, msg)
  File "/usr/local/lib/python2.7/dist-packages/ipykernel/kernelbase.py", line 391, in execute_request
    user_expressions, allow_stdin)
  File "/usr/local/lib/python2.7/dist-packages/ipykernel/ipkernel.py", line 199, in do_execute
    shell.run_cell(code, store_history=store_history, silent=silent)
  File "/usr/local/lib/python2.7/dist-packages/IPython/core/interactiveshell.py", line 2723, in run_cell
    interactivity=interactivity, compiler=compiler, result=result)
  File "/usr/local/lib/python2.7/dist-packages/IPython/core/interactiveshell.py", line 2825, in run_ast_nodes
    if self.run_code(code, result):
  File "/usr/local/lib/python2.7/dist-packages/IPython/core/interactiveshell.py", line 2885, in run_code
    exec(code_obj, self.user_global_ns, self.user_ns)
  File "<ipython-input-18-0f6d789c912c>", line 7, in <module>
    fftOp = rfftOp(inp)
  File "<ipython-input-17-e44d5219afe4>", line 6, in rfftOp
    fftOp = tf.fft(cast, name='fft')
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/gen_math_ops.py", line 518, in fft
    return _op_def_lib.apply_op("FFT", in_=in_, name=name)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/op_def_library.py", line 655, in apply_op
    op_def=op_def)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 2154, in create_op
    original_op=self._default_original_op, op_def=op_def)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 1154, in __init__
    self._traceback = _extract_stack()

表明 tensorflow fft 的 Op 丢失。我发现了类似的issue ，但它专注于 GPU Op。我正在使用tensorflow/tensorflow docker 图像。

那么，docker 镜像中是否缺少任何内容，或者我是否必须以另一种方式使用tensorflows fft？

Answer 1

您正在通过使用 tf.device('/cpu:0') 调用 来强制 TensorFlow 尝试在 CPU 上运行 FFT 运算。然而，FFT 运算目前仅针对 GPU 实现，这就是您最终收到错误消息的原因。

如果您有可用的 GPU，您可以简单地删除对 tf.device() 的调用。然后，TensorFlow 将自动在 GPU 上运行 FFT 运算。