Fix build failure in `bazel test -s --config=opt --cache_test_results=no //tensorflow...

With the most recent master the following test fails:
```
bazel test -s --config=opt --cache_test_results=no //tensorflow/python/kernel_tests:init_ops_test
...
...
...
    eye = linalg_ops.eye(n, dtype=self.dtype)
NameError: global name 'linalg_ops' is not defined
```

This fix fixes the test failure.

Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

diff --git a/tensorflow/python/ops/init_ops.py b/tensorflow/python/ops/init_ops.py
index 820e56e..f93bf0a 100644 (file)
--- a/tensorflow/python/ops/init_ops.py
+++ b/tensorflow/python/ops/init_ops.py
@@ -848,7 +848,7 @@ class ConvolutionOrthogonal1D(ConvolutionOrthogonal):
     """
     n = projection_matrix.shape.as_list()[0]
     kernel = {}
-    eye = linalg_ops.eye(n, dtype=self.dtype)
+    eye = linalg_ops_impl.eye(n, dtype=self.dtype)
     kernel[0] = projection_matrix
     kernel[1] = eye - projection_matrix
     return kernel
@@ -976,7 +976,7 @@ class ConvolutionOrthogonal3D(ConvolutionOrthogonal):
     if p1_shape != p2.shape.as_list() or p1_shape != p3.shape.as_list():
       raise ValueError("The dimension of the matrices must be the same.")
     n = p1_shape[0]
-    eye = linalg_ops.eye(n, dtype=self.dtype)
+    eye = linalg_ops_impl.eye(n, dtype=self.dtype)
     kernel2x2x2 = {}
     def matmul(p1, p2, p3):
       return math_ops.matmul(math_ops.matmul(p1, p2), p3)