yaroslavvb / memory_probe_ops Goto Github PK

When i run memory-probe-examples.ipynb file this error displayed in In[2]
import urllib.request response = urllib.request.urlopen("https://raw.githubusercontent.com/yaroslavvb/memory_probe_ops/master/linux.memory_probe_ops.so") open("memory_probe_ops.so", "wb").write(response.read()) memory_probe_ops = tf.load_op_library("./memory_probe_ops.so")

NotFoundError Traceback (most recent call last)
in ()
2 response = urllib.request.urlopen("https://raw.githubusercontent.com/yaroslavvb/memory_probe_ops/master/linux.memory_probe_ops.so")
3 open("memory_probe_ops.so", "wb").write(response.read())
----> 4 memory_probe_ops = tf.load_op_library("./memory_probe_ops.so")

~/.local/lib/python3.6/site-packages/tensorflow/python/framework/load_library.py in load_op_library(library_filename)
54 """
55 with errors_impl.raise_exception_on_not_ok_status() as status:
---> 56 lib_handle = py_tf.TF_LoadLibrary(library_filename, status)
57
58 op_list_str = py_tf.TF_GetOpList(lib_handle)

~/.local/lib/python3.6/site-packages/tensorflow/python/framework/errors_impl.py in exit(self, type_arg, value_arg, traceback_arg)
471 None, None,
472 compat.as_text(c_api.TF_Message(self.status.status)),
--> 473 c_api.TF_GetCode(self.status.status))
474 # Delete the underlying status object from memory otherwise it stays alive
475 # as there is a reference to status from this from the traceback due to

NotFoundError: ./memory_probe_ops.so: undefined symbol: _ZTIN10tensorflow8OpKernelE

Hi,

do this support multi-gpu?

Thanks