tensorflow: Invoke get_shape() on sparse_tensor leads to feeding error

If I invoke get_shape method on sparse_tensor, the shape tensor will be added into the _unfeedable_tensors set of the current graph. Then when I feed the sparse tensor, an error occurs.

The codes below show this error

import tensorflow as tf
import numpy as np

shape = np.array([7, 9, 2], dtype=np.int64)
indices = np.array([[3, 2, 0], [4, 5, 1]], dtype=np.int64)
values = np.array([1.0, 2.0], dtype=np.float32)
x = tf.sparse_placeholder(tf.float32, shape=shape)

with tf.Session() as sess:
    x.get_shape() # <-- Troublemaker
    # This line leads to the exception:
    # 	   Tensor Tensor("Const:0", shape=(3,), dtype=int64) may not be fed.
    # The side effection of this line is that 
    # it adds the 'shape' tensor into Graph._unfeedable_tensors, 

    print(sess.run(x, feed_dict={
    	x: tf.SparseTensorValue(indices, values, shape)}))

The stacktrace

ValueError                                Traceback (most recent call last)
<ipython-input-1-baac6f49a954> in <module>()
     10     x.get_shape()
     11     print(sess.run(x, feed_dict={
---> 12     	x: tf.SparseTensorValue(indices, values, shape)}))

/Users/liqimai/anaconda3/lib/python3.5/site-packages/tensorflow/python/client/session.py in run(self, fetches, feed_dict, options, run_metadata)
    765     try:
    766       result = self._run(None, fetches, feed_dict, options_ptr,
--> 767                          run_metadata_ptr)
    768       if run_metadata:
    769         proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)

/Users/liqimai/anaconda3/lib/python3.5/site-packages/tensorflow/python/client/session.py in _run(self, handle, fetches, feed_dict, options, run_metadata)
    944                 % (np_val.shape, subfeed_t.name, str(subfeed_t.get_shape())))
    945           if not self.graph.is_feedable(subfeed_t):
--> 946             raise ValueError('Tensor %s may not be fed.' % subfeed_t)
    947           subfeed_name = compat.as_bytes(subfeed_t.name)
    948           feed_dict_string[subfeed_name] = np_val

ValueError: Tensor Tensor("Const:0", shape=(3,), dtype=int64) may not be fed.

---

System information

I do not think this bug is related to my environment. == cat /etc/issue =============================================== Darwin liqimaideMacBook-Pro.local 16.7.0 Darwin Kernel Version 16.7.0: Thu Jun 15 17:36:27 PDT 2017; root:xnu-3789.70.16~2/RELEASE_X86_64 x86_64 Mac OS X 10.12.6

== are we in docker ============================================= No

== compiler ===================================================== Apple LLVM version 9.0.0 (clang-900.0.37) Target: x86_64-apple-darwin16.7.0 Thread model: posix InstalledDir: /Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin

== uname -a ===================================================== Darwin MacBook-Pro.local 16.7.0 Darwin Kernel Version 16.7.0: Thu Jun 15 17:36:27 PDT 2017; root:xnu-3789.70.16~2/RELEASE_X86_64 x86_64

== check pips =================================================== numpy (1.11.3) protobuf (3.2.0) tensorflow (1.0.0)

== check for virtualenv ========================================= False

== tensorflow import ============================================ tf.VERSION = 1.0.0 tf.GIT_VERSION = v1.0.0-rc2-15-g47bba63-dirty tf.COMPILER_VERSION = v1.0.0-rc2-15-g47bba63-dirty Sanity check: array([1], dtype=int32)

== env ========================================================== LD_LIBRARY_PATH is unset DYLD_LIBRARY_PATH is unset

== nvidia-smi =================================================== tf_env_collect.sh: line 105: nvidia-smi: command not found

== cuda libs ===================================================