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| author |  A. Unique TensorFlower <gardener@tensorflow.org> | 2016-07-18 17:22:15 -0800 |
|---|---|---|
| committer | TensorFlower Gardener <gardener@tensorflow.org> | 2016-07-18 18:33:42 -0700 |
| commit | 9f8a2729bf6045fbbc30845f34f381778b27ebad (patch) | |
| tree | 7089245a839660a4556e331f8711379ffd0c0808 | |
| parent | e1b5108ff36a8ae521930e0b2cdf58573814248c (diff) | |
Update generated Python Op docs.
Change: 127783883
| -rw-r--r-- | tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.batch_matrix_determinant.md | 2 | ||||
| -rw-r--r-- | tensorflow/g3doc/api_docs/python/math_ops.md | 2 |
2 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.batch_matrix_determinant.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.batch_matrix_determinant.md index 83f9503a4d..d55bf96f18 100644 --- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.batch_matrix_determinant.md +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard2/tf.batch_matrix_determinant.md @@ -3,7 +3,7 @@ Calculates the determinants for a batch of square matrices. The input is a tensor of shape `[..., M, M]` whose inner-most 2 dimensions -form square matrices. The output is a 1-D tensor containing the determinants +form square matrices. The output is a tensor containing the determinants for all input submatrices `[..., :, :]`. ##### Args: diff --git a/tensorflow/g3doc/api_docs/python/math_ops.md b/tensorflow/g3doc/api_docs/python/math_ops.md index 748c9221bf..5d2f1bca3f 100644 --- a/tensorflow/g3doc/api_docs/python/math_ops.md +++ b/tensorflow/g3doc/api_docs/python/math_ops.md @@ -1384,7 +1384,7 @@ Calculates the determinant of a square matrix. Calculates the determinants for a batch of square matrices. The input is a tensor of shape `[..., M, M]` whose inner-most 2 dimensions -form square matrices. The output is a 1-D tensor containing the determinants +form square matrices. The output is a tensor containing the determinants for all input submatrices `[..., :, :]`. ##### Args: |