pose-tensorflow iteration: 60000 loss: 0.0414 lr: 0.02 2018-04-08 21:22:32.268116: W tensorflow/core/framework/op_kernel.cc:1192] Not found: ; No such file or directory

iteration: 60000 loss: 0.0414 lr: 0.02 2018-04-08 21:22:32.268116: W tensorflow/core/framework/op_kernel.cc:1192] Not found: ; No such file or directory

Open monajalal opened this issue 6 years ago • 3 comments

Right on the 60k iteration, I got this error, please suggest what might have been wrong. Can you also share your models for MPII human pose dataset? I basically followed all the instructions for training and had no error until 60k-th iteration!!

iteration: 59940 loss: 0.0395 lr: 0.02
iteration: 59960 loss: 0.0473 lr: 0.02
iteration: 59980 loss: 0.0389 lr: 0.02
iteration: 60000 loss: 0.0414 lr: 0.02
2018-04-08 21:22:32.268116: W tensorflow/core/framework/op_kernel.cc:1192] Not found: ; No such file or directory
Traceback (most recent call last):
  File "/scratch/sjn/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1323, in _do_call
    return fn(*args)
  File "/scratch/sjn/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1302, in _run_fn
    status, run_metadata)
  File "/scratch/sjn/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/errors_impl.py", line 473, in __exit__
    c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.NotFoundError: ; No such file or directory
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resnet_v1_101/block3/unit_6/bottleneck_v1/conv1/BatchNorm/moving_mean/_1993, resnet_v1_101/block3/unit_6/bottleneck_v1/conv1/BatchNorm/moving_variance/_1995, resnet_v1_101/block3/unit_6/bottleneck_v1/conv1/weights/_1997, resnet_v1_101/block3/unit_6/bottleneck_v1/conv2/BatchNorm/beta/_1999, resnet_v1_101/block3/unit_6/bottleneck_v1/conv2/BatchNorm/gamma/_2001, resnet_v1_101/block3/unit_6/bottleneck_v1/conv2/BatchNorm/moving_mean/_2003, resnet_v1_101/block3/unit_6/bottleneck_v1/conv2/BatchNorm/moving_variance/_2005, resnet_v1_101/block3/unit_6/bottleneck_v1/conv2/weights/_2007, resnet_v1_101/block3/unit_6/bottleneck_v1/conv3/BatchNorm/beta/_2009, resnet_v1_101/block3/unit_6/bottleneck_v1/conv3/BatchNorm/gamma/_2011, resnet_v1_101/block3/unit_6/bottleneck_v1/conv3/BatchNorm/moving_mean/_2013, resnet_v1_101/block3/unit_6/bottleneck_v1/conv3/BatchNorm/moving_variance/_2015, resnet_v1_101/block3/unit_6/bottleneck_v1/conv3/weights/_2017, resnet_v1_101/block3/unit_7/bottleneck_v1/conv1/BatchNorm/beta/_2019, resnet_v1_101/block3/unit_7/bottleneck_v1/conv1/BatchNorm/gamma/_2021, resnet_v1_101/block3/unit_7/bottleneck_v1/conv1/BatchNorm/moving_mean/_2023, resnet_v1_101/block3/unit_7/bottleneck_v1/conv1/BatchNorm/moving_variance/_2025, resnet_v1_101/block3/unit_7/bottleneck_v1/conv1/weights/_2027, resnet_v1_101/block3/unit_7/bottleneck_v1/conv2/BatchNorm/beta/_2029, resnet_v1_101/block3/unit_7/bottleneck_v1/conv2/BatchNorm/gamma/_2031, resnet_v1_101/block3/unit_7/bottleneck_v1/conv2/BatchNorm/moving_mean/_2033, resnet_v1_101/block3/unit_7/bottleneck_v1/conv2/BatchNorm/moving_variance/_2035, resnet_v1_101/block3/unit_7/bottleneck_v1/conv2/weights/_2037, resnet_v1_101/block3/unit_7/bottleneck_v1/conv3/BatchNorm/beta/_2039, resnet_v1_101/block3/unit_7/bottleneck_v1/conv3/BatchNorm/gamma/_2041, resnet_v1_101/block3/unit_7/bottleneck_v1/conv3/BatchNorm/moving_mean/_2043, resnet_v1_101/block3/unit_7/bottleneck_v1/conv3/BatchNorm/moving_variance/_2045, resnet_v1_101/block3/unit_7/bottleneck_v1/conv3/weights/_2047, resnet_v1_101/block3/unit_8/bottleneck_v1/conv1/BatchNorm/beta/_2049, resnet_v1_101/block3/unit_8/bottleneck_v1/conv1/BatchNorm/gamma/_2051, resnet_v1_101/block3/unit_8/bottleneck_v1/conv1/BatchNorm/moving_mean/_2053, resnet_v1_101/block3/unit_8/bottleneck_v1/conv1/BatchNorm/moving_variance/_2055, resnet_v1_101/block3/unit_8/bottleneck_v1/conv1/weights/_2057, resnet_v1_101/block3/unit_8/bottleneck_v1/conv2/BatchNorm/beta/_2059, resnet_v1_101/block3/unit_8/bottleneck_v1/conv2/BatchNorm/gamma/_2061, resnet_v1_101/block3/unit_8/bottleneck_v1/conv2/BatchNorm/moving_mean/_2063, resnet_v1_101/block3/unit_8/bottleneck_v1/conv2/BatchNorm/moving_variance/_2065, resnet_v1_101/block3/unit_8/bottleneck_v1/conv2/weights/_2067, resnet_v1_101/block3/unit_8/bottleneck_v1/conv3/BatchNorm/beta/_2069, 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resnet_v1_101/block3/unit_9/bottleneck_v1/conv2/weights/_2097, resnet_v1_101/block3/unit_9/bottleneck_v1/conv3/BatchNorm/beta/_2099, resnet_v1_101/block3/unit_9/bottleneck_v1/conv3/BatchNorm/gamma/_2101, resnet_v1_101/block3/unit_9/bottleneck_v1/conv3/BatchNorm/moving_mean/_2103, resnet_v1_101/block3/unit_9/bottleneck_v1/conv3/BatchNorm/moving_variance/_2105, resnet_v1_101/block3/unit_9/bottleneck_v1/conv3/weights/_2107, resnet_v1_101/block4/unit_1/bottleneck_v1/conv1/BatchNorm/beta/_2109, resnet_v1_101/block4/unit_1/bottleneck_v1/conv1/BatchNorm/gamma/_2111, resnet_v1_101/block4/unit_1/bottleneck_v1/conv1/BatchNorm/moving_mean/_2113, resnet_v1_101/block4/unit_1/bottleneck_v1/conv1/BatchNorm/moving_variance/_2115, resnet_v1_101/block4/unit_1/bottleneck_v1/conv1/weights/_2117, resnet_v1_101/block4/unit_1/bottleneck_v1/conv2/BatchNorm/beta/_2119, resnet_v1_101/block4/unit_1/bottleneck_v1/conv2/BatchNorm/gamma/_2121, 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resnet_v1_101/block4/unit_2/bottleneck_v1/conv3/BatchNorm/moving_variance/_2175, resnet_v1_101/block4/unit_2/bottleneck_v1/conv3/weights/_2177, resnet_v1_101/block4/unit_3/bottleneck_v1/conv1/BatchNorm/beta/_2179, resnet_v1_101/block4/unit_3/bottleneck_v1/conv1/BatchNorm/gamma/_2181, resnet_v1_101/block4/unit_3/bottleneck_v1/conv1/BatchNorm/moving_mean/_2183, resnet_v1_101/block4/unit_3/bottleneck_v1/conv1/BatchNorm/moving_variance/_2185, resnet_v1_101/block4/unit_3/bottleneck_v1/conv1/weights/_2187, resnet_v1_101/block4/unit_3/bottleneck_v1/conv2/BatchNorm/beta/_2189, resnet_v1_101/block4/unit_3/bottleneck_v1/conv2/BatchNorm/gamma/_2191, resnet_v1_101/block4/unit_3/bottleneck_v1/conv2/BatchNorm/moving_mean/_2193, resnet_v1_101/block4/unit_3/bottleneck_v1/conv2/BatchNorm/moving_variance/_2195, resnet_v1_101/block4/unit_3/bottleneck_v1/conv2/weights/_2197, resnet_v1_101/block4/unit_3/bottleneck_v1/conv3/BatchNorm/beta/_2199, resnet_v1_101/block4/unit_3/bottleneck_v1/conv3/BatchNorm/gamma/_2201, resnet_v1_101/block4/unit_3/bottleneck_v1/conv3/BatchNorm/moving_mean/_2203, resnet_v1_101/block4/unit_3/bottleneck_v1/conv3/BatchNorm/moving_variance/_2205, resnet_v1_101/block4/unit_3/bottleneck_v1/conv3/weights/_2207, resnet_v1_101/conv1/BatchNorm/beta/_2209, resnet_v1_101/conv1/BatchNorm/gamma/_2211, resnet_v1_101/conv1/BatchNorm/moving_mean/_2213, resnet_v1_101/conv1/BatchNorm/moving_variance/_2215, resnet_v1_101/conv1/weights/_2217)]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/scratch/sjn/anaconda/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1573, in save
    {self.saver_def.filename_tensor_name: checkpoint_file})
  File "/scratch/sjn/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 889, in run
    run_metadata_ptr)
  File "/scratch/sjn/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1120, in _run
    feed_dict_tensor, options, run_metadata)
  File "/scratch/sjn/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1317, in _do_run
    options, run_metadata)
  File "/scratch/sjn/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1336, in _do_call
    raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.NotFoundError: ; No such file or directory
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resnet_v1_101/block3/unit_6/bottleneck_v1/conv1/BatchNorm/moving_mean/_1993, resnet_v1_101/block3/unit_6/bottleneck_v1/conv1/BatchNorm/moving_variance/_1995, resnet_v1_101/block3/unit_6/bottleneck_v1/conv1/weights/_1997, resnet_v1_101/block3/unit_6/bottleneck_v1/conv2/BatchNorm/beta/_1999, resnet_v1_101/block3/unit_6/bottleneck_v1/conv2/BatchNorm/gamma/_2001, resnet_v1_101/block3/unit_6/bottleneck_v1/conv2/BatchNorm/moving_mean/_2003, resnet_v1_101/block3/unit_6/bottleneck_v1/conv2/BatchNorm/moving_variance/_2005, resnet_v1_101/block3/unit_6/bottleneck_v1/conv2/weights/_2007, resnet_v1_101/block3/unit_6/bottleneck_v1/conv3/BatchNorm/beta/_2009, resnet_v1_101/block3/unit_6/bottleneck_v1/conv3/BatchNorm/gamma/_2011, resnet_v1_101/block3/unit_6/bottleneck_v1/conv3/BatchNorm/moving_mean/_2013, resnet_v1_101/block3/unit_6/bottleneck_v1/conv3/BatchNorm/moving_variance/_2015, resnet_v1_101/block3/unit_6/bottleneck_v1/conv3/weights/_2017, resnet_v1_101/block3/unit_7/bottleneck_v1/conv1/BatchNorm/beta/_2019, resnet_v1_101/block3/unit_7/bottleneck_v1/conv1/BatchNorm/gamma/_2021, resnet_v1_101/block3/unit_7/bottleneck_v1/conv1/BatchNorm/moving_mean/_2023, resnet_v1_101/block3/unit_7/bottleneck_v1/conv1/BatchNorm/moving_variance/_2025, resnet_v1_101/block3/unit_7/bottleneck_v1/conv1/weights/_2027, resnet_v1_101/block3/unit_7/bottleneck_v1/conv2/BatchNorm/beta/_2029, resnet_v1_101/block3/unit_7/bottleneck_v1/conv2/BatchNorm/gamma/_2031, resnet_v1_101/block3/unit_7/bottleneck_v1/conv2/BatchNorm/moving_mean/_2033, resnet_v1_101/block3/unit_7/bottleneck_v1/conv2/BatchNorm/moving_variance/_2035, resnet_v1_101/block3/unit_7/bottleneck_v1/conv2/weights/_2037, resnet_v1_101/block3/unit_7/bottleneck_v1/conv3/BatchNorm/beta/_2039, resnet_v1_101/block3/unit_7/bottleneck_v1/conv3/BatchNorm/gamma/_2041, resnet_v1_101/block3/unit_7/bottleneck_v1/conv3/BatchNorm/moving_mean/_2043, resnet_v1_101/block3/unit_7/bottleneck_v1/conv3/BatchNorm/moving_variance/_2045, resnet_v1_101/block3/unit_7/bottleneck_v1/conv3/weights/_2047, resnet_v1_101/block3/unit_8/bottleneck_v1/conv1/BatchNorm/beta/_2049, resnet_v1_101/block3/unit_8/bottleneck_v1/conv1/BatchNorm/gamma/_2051, resnet_v1_101/block3/unit_8/bottleneck_v1/conv1/BatchNorm/moving_mean/_2053, resnet_v1_101/block3/unit_8/bottleneck_v1/conv1/BatchNorm/moving_variance/_2055, resnet_v1_101/block3/unit_8/bottleneck_v1/conv1/weights/_2057, resnet_v1_101/block3/unit_8/bottleneck_v1/conv2/BatchNorm/beta/_2059, resnet_v1_101/block3/unit_8/bottleneck_v1/conv2/BatchNorm/gamma/_2061, resnet_v1_101/block3/unit_8/bottleneck_v1/conv2/BatchNorm/moving_mean/_2063, resnet_v1_101/block3/unit_8/bottleneck_v1/conv2/BatchNorm/moving_variance/_2065, resnet_v1_101/block3/unit_8/bottleneck_v1/conv2/weights/_2067, resnet_v1_101/block3/unit_8/bottleneck_v1/conv3/BatchNorm/beta/_2069, resnet_v1_101/block3/unit_8/bottleneck_v1/conv3/BatchNorm/gamma/_2071, resnet_v1_101/block3/unit_8/bottleneck_v1/conv3/BatchNorm/moving_mean/_2073, resnet_v1_101/block3/unit_8/bottleneck_v1/conv3/BatchNorm/moving_variance/_2075, resnet_v1_101/block3/unit_8/bottleneck_v1/conv3/weights/_2077, resnet_v1_101/block3/unit_9/bottleneck_v1/conv1/BatchNorm/beta/_2079, resnet_v1_101/block3/unit_9/bottleneck_v1/conv1/BatchNorm/gamma/_2081, resnet_v1_101/block3/unit_9/bottleneck_v1/conv1/BatchNorm/moving_mean/_2083, resnet_v1_101/block3/unit_9/bottleneck_v1/conv1/BatchNorm/moving_variance/_2085, resnet_v1_101/block3/unit_9/bottleneck_v1/conv1/weights/_2087, resnet_v1_101/block3/unit_9/bottleneck_v1/conv2/BatchNorm/beta/_2089, resnet_v1_101/block3/unit_9/bottleneck_v1/conv2/BatchNorm/gamma/_2091, resnet_v1_101/block3/unit_9/bottleneck_v1/conv2/BatchNorm/moving_mean/_2093, resnet_v1_101/block3/unit_9/bottleneck_v1/conv2/BatchNorm/moving_variance/_2095, resnet_v1_101/block3/unit_9/bottleneck_v1/conv2/weights/_2097, resnet_v1_101/block3/unit_9/bottleneck_v1/conv3/BatchNorm/beta/_2099, resnet_v1_101/block3/unit_9/bottleneck_v1/conv3/BatchNorm/gamma/_2101, resnet_v1_101/block3/unit_9/bottleneck_v1/conv3/BatchNorm/moving_mean/_2103, resnet_v1_101/block3/unit_9/bottleneck_v1/conv3/BatchNorm/moving_variance/_2105, resnet_v1_101/block3/unit_9/bottleneck_v1/conv3/weights/_2107, resnet_v1_101/block4/unit_1/bottleneck_v1/conv1/BatchNorm/beta/_2109, resnet_v1_101/block4/unit_1/bottleneck_v1/conv1/BatchNorm/gamma/_2111, resnet_v1_101/block4/unit_1/bottleneck_v1/conv1/BatchNorm/moving_mean/_2113, resnet_v1_101/block4/unit_1/bottleneck_v1/conv1/BatchNorm/moving_variance/_2115, resnet_v1_101/block4/unit_1/bottleneck_v1/conv1/weights/_2117, resnet_v1_101/block4/unit_1/bottleneck_v1/conv2/BatchNorm/beta/_2119, resnet_v1_101/block4/unit_1/bottleneck_v1/conv2/BatchNorm/gamma/_2121, resnet_v1_101/block4/unit_1/bottleneck_v1/conv2/BatchNorm/moving_mean/_2123, resnet_v1_101/block4/unit_1/bottleneck_v1/conv2/BatchNorm/moving_variance/_2125, resnet_v1_101/block4/unit_1/bottleneck_v1/conv2/weights/_2127, resnet_v1_101/block4/unit_1/bottleneck_v1/conv3/BatchNorm/beta/_2129, resnet_v1_101/block4/unit_1/bottleneck_v1/conv3/BatchNorm/gamma/_2131, resnet_v1_101/block4/unit_1/bottleneck_v1/conv3/BatchNorm/moving_mean/_2133, resnet_v1_101/block4/unit_1/bottleneck_v1/conv3/BatchNorm/moving_variance/_2135, resnet_v1_101/block4/unit_1/bottleneck_v1/conv3/weights/_2137, resnet_v1_101/block4/unit_1/bottleneck_v1/shortcut/BatchNorm/beta/_2139, resnet_v1_101/block4/unit_1/bottleneck_v1/shortcut/BatchNorm/gamma/_2141, resnet_v1_101/block4/unit_1/bottleneck_v1/shortcut/BatchNorm/moving_mean/_2143, resnet_v1_101/block4/unit_1/bottleneck_v1/shortcut/BatchNorm/moving_variance/_2145, resnet_v1_101/block4/unit_1/bottleneck_v1/shortcut/weights/_2147, resnet_v1_101/block4/unit_2/bottleneck_v1/conv1/BatchNorm/beta/_2149, resnet_v1_101/block4/unit_2/bottleneck_v1/conv1/BatchNorm/gamma/_2151, resnet_v1_101/block4/unit_2/bottleneck_v1/conv1/BatchNorm/moving_mean/_2153, resnet_v1_101/block4/unit_2/bottleneck_v1/conv1/BatchNorm/moving_variance/_2155, resnet_v1_101/block4/unit_2/bottleneck_v1/conv1/weights/_2157, resnet_v1_101/block4/unit_2/bottleneck_v1/conv2/BatchNorm/beta/_2159, resnet_v1_101/block4/unit_2/bottleneck_v1/conv2/BatchNorm/gamma/_2161, resnet_v1_101/block4/unit_2/bottleneck_v1/conv2/BatchNorm/moving_mean/_2163, resnet_v1_101/block4/unit_2/bottleneck_v1/conv2/BatchNorm/moving_variance/_2165, resnet_v1_101/block4/unit_2/bottleneck_v1/conv2/weights/_2167, resnet_v1_101/block4/unit_2/bottleneck_v1/conv3/BatchNorm/beta/_2169, resnet_v1_101/block4/unit_2/bottleneck_v1/conv3/BatchNorm/gamma/_2171, resnet_v1_101/block4/unit_2/bottleneck_v1/conv3/BatchNorm/moving_mean/_2173, resnet_v1_101/block4/unit_2/bottleneck_v1/conv3/BatchNorm/moving_variance/_2175, resnet_v1_101/block4/unit_2/bottleneck_v1/conv3/weights/_2177, resnet_v1_101/block4/unit_3/bottleneck_v1/conv1/BatchNorm/beta/_2179, resnet_v1_101/block4/unit_3/bottleneck_v1/conv1/BatchNorm/gamma/_2181, resnet_v1_101/block4/unit_3/bottleneck_v1/conv1/BatchNorm/moving_mean/_2183, resnet_v1_101/block4/unit_3/bottleneck_v1/conv1/BatchNorm/moving_variance/_2185, resnet_v1_101/block4/unit_3/bottleneck_v1/conv1/weights/_2187, resnet_v1_101/block4/unit_3/bottleneck_v1/conv2/BatchNorm/beta/_2189, resnet_v1_101/block4/unit_3/bottleneck_v1/conv2/BatchNorm/gamma/_2191, resnet_v1_101/block4/unit_3/bottleneck_v1/conv2/BatchNorm/moving_mean/_2193, resnet_v1_101/block4/unit_3/bottleneck_v1/conv2/BatchNorm/moving_variance/_2195, resnet_v1_101/block4/unit_3/bottleneck_v1/conv2/weights/_2197, resnet_v1_101/block4/unit_3/bottleneck_v1/conv3/BatchNorm/beta/_2199, resnet_v1_101/block4/unit_3/bottleneck_v1/conv3/BatchNorm/gamma/_2201, resnet_v1_101/block4/unit_3/bottleneck_v1/conv3/BatchNorm/moving_mean/_2203, resnet_v1_101/block4/unit_3/bottleneck_v1/conv3/BatchNorm/moving_variance/_2205, resnet_v1_101/block4/unit_3/bottleneck_v1/conv3/weights/_2207, resnet_v1_101/conv1/BatchNorm/beta/_2209, resnet_v1_101/conv1/BatchNorm/gamma/_2211, resnet_v1_101/conv1/BatchNorm/moving_mean/_2213, resnet_v1_101/conv1/BatchNorm/moving_variance/_2215, resnet_v1_101/conv1/weights/_2217)]]

Caused by op 'save_1/SaveV2', defined at:
  File "../../../train.py", line 140, in <module>
    train()
  File "../../../train.py", line 94, in train
    saver = tf.train.Saver(max_to_keep=5)
  File "/scratch/sjn/anaconda/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1218, in __init__
    self.build()
  File "/scratch/sjn/anaconda/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1227, in build
    self._build(self._filename, build_save=True, build_restore=True)
  File "/scratch/sjn/anaconda/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1263, in _build
    build_save=build_save, build_restore=build_restore)
  File "/scratch/sjn/anaconda/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 748, in _build_internal
    save_tensor = self._AddSaveOps(filename_tensor, saveables)
  File "/scratch/sjn/anaconda/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 296, in _AddSaveOps
    save = self.save_op(filename_tensor, saveables)
  File "/scratch/sjn/anaconda/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 239, in save_op
    tensors)
  File "/scratch/sjn/anaconda/lib/python3.6/site-packages/tensorflow/python/ops/gen_io_ops.py", line 1163, in save_v2
    shape_and_slices=shape_and_slices, tensors=tensors, name=name)
  File "/scratch/sjn/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper
    op_def=op_def)
  File "/scratch/sjn/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 2956, in create_op
    op_def=op_def)
  File "/scratch/sjn/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1470, in __init__
    self._traceback = self._graph._extract_stack()  # pylint: disable=protected-access

NotFoundError (see above for traceback): ; No such file or directory
	 [[Node: save_1/SaveV2 = SaveV2[dtypes=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, 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During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "../../../train.py", line 140, in <module>
    train()
  File "../../../train.py", line 132, in train
    saver.save(sess, model_name, global_step=it)
  File "/scratch/sjn/anaconda/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1594, in save
    raise exc
ValueError: Parent directory of snapshot doesn't exist, can't save.
^CException ignored in: <module 'threading' from '/scratch/sjn/anaconda/lib/python3.6/threading.py'>
Traceback (most recent call last):
  File "/scratch/sjn/anaconda/lib/python3.6/threading.py", line 1294, in _shutdown
    t.join()

complete error can be found at: https://hastebin.com/pivuzisece.lua

This is my pose_cfg.yaml file:

dataset: /scratch2/body_pose/pose-tensorflow/dataset/cropped/dataset.mat
dataset_type: "mpii"

pos_dist_thresh: 17
global_scale: 0.8452830189
scale_jitter_lo: 0.85
scale_jitter_up: 1.15

net_type: resnet_101
init_weights: ../../pretrained/resnet_v1_101.ckpt

location_refinement: true
locref_huber_loss: true
locref_loss_weight: 0.05
locref_stdev: 7.2801

intermediate_supervision: true
intermediate_supervision_layer: 12

max_input_size: 850
multi_step:
- [0.005, 10000]
- [0.02, 430000]
- [0.002, 730000]
- [0.001, 1030000]
display_iters: 20
save_iters: 60000

mirror: true

Apr 09 '18 01:04 monajalal

Replace the line 132 in train.py : saver.save(sess, model_name, global_step=it) to saver.save(sess, str('./'+model_name), global_step=it) and it should work

Apr 12 '18 20:04 meet10may

have you download the pretrained model？can you share it with me. because the download site cannot open.thank you very much!

May 17 '18 08:05 1Rookiechang

Replace the line 132 in train.py : saver.save(sess, model_name, global_step=it) to saver.save(sess, str('./'+model_name), global_step=it) and it should work

It works. Thank you so much!

Oct 19 '19 09:10 ZP-Guo

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iteration: 60000 loss: 0.0414 lr: 0.02 2018-04-08 21:22:32.268116: W tensorflow/core/framework/op_kernel.cc:1192] Not found: ; No such file or directory

pose-tensorflow
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