Deprecate C++ kernel for matrix exponential, which is now implemented as a python function.

PiperOrigin-RevId: 210180168

1 files changed, 2 insertions, 29 deletions

diff --git a/tensorflow/core/api_def/base_api/api_def_MatrixExponential.pbtxt b/tensorflow/core/api_def/base_api/api_def_MatrixExponential.pbtxt
index d7b56aec87..46da1de1c3 100644
--- a/tensorflow/core/api_def/base_api/api_def_MatrixExponential.pbtxt
+++ b/tensorflow/core/api_def/base_api/api_def_MatrixExponential.pbtxt
@@ -1,32 +1,5 @@
 op {
   graph_op_name: "MatrixExponential"
-  in_arg {
-    name: "input"
-    description: <<END
-Shape is `[..., M, M]`.
-END
-  }
-  out_arg {
-    name: "output"
-    description: <<END
-Shape is `[..., M, M]`.
-
-@compatibility(scipy)
-Equivalent to scipy.linalg.expm
-@end_compatibility
-END
-  }
-  summary: "Computes the matrix exponential of one or more square matrices:"
-  description: <<END
-\\(exp(A) = \sum_{n=0}^\infty A^n/n!\\)
-
-The exponential is computed using a combination of the scaling and squaring
-method and the Pade approximation. Details can be founds in:
-Nicholas J. Higham, "The scaling and squaring method for the matrix exponential
-revisited," SIAM J. Matrix Anal. Applic., 26:1179-1193, 2005.
-
-The input is a tensor of shape `[..., M, M]` whose inner-most 2 dimensions
-form square matrices. The output is a tensor of the same shape as the input
-containing the exponential for all input submatrices `[..., :, :]`.
-END
+  visibility: SKIP
+  summary: "Deprecated, use python implementation tf.linalg.matrix_exponential."
 }