i want preprocess data input tensorflow, file huge , think maybe tensorflow can accelerate process on gpu. , find operation string base in library, however, when simple test, seems tensorflow not support operation on gpu, if has idea process string data on gpu in tensorflow or other advance? now, think maybe have on cuda level.
here test code:
import tensorflow tf sess = tf.interactivesession() tf.device('/gpu:0'): text = tf.constant("aa a", name="left") result = tf.string_split([text], delimiter=" ") print result.eval() and error information:
i tensorflow/core/common_runtime/gpu/gpu_device.cc:975] creating tensorflow device (/gpu:0) -> (device: 0, name: geforce gtx 1070, pci bus id: 0000:01:00.0) traceback (most recent call last): file "/media/freshield/buffer/learn_tensorflow/11_tensorboard_graph/testing.py", line 51, in <module> print result.eval() file "/home/freshield/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/sparse_tensor.py", line 225, in eval session) file "/home/freshield/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 3797, in _eval_using_default_session return session.run(tensors, feed_dict) file "/home/freshield/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 767, in run run_metadata_ptr) file "/home/freshield/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 965, in _run feed_dict_string, options, run_metadata) file "/home/freshield/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1015, in _do_run target_list, options, run_metadata) file "/home/freshield/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1035, in _do_call raise type(e)(node_def, op, message) tensorflow.python.framework.errors_impl.invalidargumenterror: cannot assign device node 'packed': not satisfy explicit device specification '/device:gpu:0' because no supported kernel gpu devices available. [[node: packed = pack[n=1, t=dt_string, axis=0, _device="/device:gpu:0"](left)]] caused op u'packed', defined at: file "/media/freshield/buffer/learn_tensorflow/11_tensorboard_graph/testing.py", line 50, in <module> result = tf.string_split([text], delimiter=" ") file "/home/freshield/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/string_ops.py", line 104, in string_split source = ops.convert_to_tensor(source, dtype=dtypes.string) file "/home/freshield/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 651, in convert_to_tensor as_ref=false) file "/home/freshield/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 716, in internal_convert_to_tensor ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref) file "/home/freshield/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/array_ops.py", line 923, in _autopacking_conversion_function return _autopacking_helper(v, inferred_dtype, name or "packed") file "/home/freshield/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/array_ops.py", line 886, in _autopacking_helper return gen_array_ops._pack(elems_as_tensors, name=scope) file "/home/freshield/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/gen_array_ops.py", line 2041, in _pack result = _op_def_lib.apply_op("pack", values=values, axis=axis, name=name) file "/home/freshield/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 763, in apply_op op_def=op_def) file "/home/freshield/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2395, in create_op original_op=self._default_original_op, op_def=op_def) file "/home/freshield/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1264, in __init__ self._traceback = _extract_stack() invalidargumenterror (see above traceback): cannot assign device node 'packed': not satisfy explicit device specification '/device:gpu:0' because no supported kernel gpu devices available. [[node: packed = pack[n=1, t=dt_string, axis=0, _device="/device:gpu:0"](left)]]
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