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author | 2016-10-28 10:34:17 -0800 | |
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committer | 2016-10-28 12:01:15 -0700 | |
commit | 0dabf374b951fc2959d0f8c0cd0823fa7d766c44 (patch) | |
tree | 8b37819710dc1fb2f909705c652c30328d4103b6 /tensorflow/core/ops/ops.pbtxt | |
parent | e2d51a87f0727f8537b46048d8241aeebb6e48d6 (diff) |
Update ops-related pbtxt files.
Change: 137533468
Diffstat (limited to 'tensorflow/core/ops/ops.pbtxt')
-rw-r--r-- | tensorflow/core/ops/ops.pbtxt | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/core/ops/ops.pbtxt b/tensorflow/core/ops/ops.pbtxt index 7d41813fd6..512b3dcd66 100644 --- a/tensorflow/core/ops/ops.pbtxt +++ b/tensorflow/core/ops/ops.pbtxt @@ -15992,7 +15992,7 @@ op { type: "type" } summary: "Selects elements from `t` or `e`, depending on `condition`." - description: "The `t`, and `e` tensors must all have the same shape,\nand the output will also have that shape. The `condition` tensor\nmust be a scalar if `t` and `e` are scalars. If `t` and `e` are vectors\nor higher rank, then `condition` must be either a vector with size\nmatching the first dimension of `t`, or must have the same shape as `t`.\n\nThe `condition` tensor acts as a mask that chooses, based on the value at each\nelement, whether the corresponding element / row in the output should be\ntaken from `t` (if true) or `e` (if false).\n\nIf `condition` is a vector and `t` and `e` are higher rank matrices, then\nit chooses which row (outer dimension) to copy from `t` and `e`.\nIf `condition` has the same shape as `t` and `e`, then it chooses which\nelement to copy from `t` and `e`.\n\nFor example:\n\n```prettyprint\n# \'condition\' tensor is [[True, False]\n# [False, True]]\n# \'t\' is [[1, 2],\n# [3, 4]]\n# \'e\' is [[5, 6],\n# [7, 8]]\nselect(condition, t, e) ==> [[1, 6],\n [7, 4]]\n\n\n# \'condition\' tensor is [True, False]\n# \'t\' is [[1, 2],\n# [3, 4]]\n# \'e\' is [[5, 6],\n# [7, 8]]\nselect(condition, t, e) ==> [[1, 2],\n [7, 8]]\n\n```" + description: "The `t`, and `e` tensors must all have the same shape, and the\noutput will also have that shape.\n\nThe `condition` tensor must be a scalar if `t` and `e` are scalars.\nIf `t` and `e` are vectors or higher rank, then `condition` must be either a\nscalar, a vector with size matching the first dimension of `t`, or must have\nthe same shape as `t`.\n\nThe `condition` tensor acts as a mask that chooses, based on the value at each\nelement, whether the corresponding element / row in the output should be\ntaken from `t` (if true) or `e` (if false).\n\nIf `condition` is a vector and `t` and `e` are higher rank matrices, then\nit chooses which row (outer dimension) to copy from `t` and `e`.\nIf `condition` has the same shape as `t` and `e`, then it chooses which\nelement to copy from `t` and `e`.\n\nFor example:\n\n```prettyprint\n# \'condition\' tensor is [[True, False]\n# [False, True]]\n# \'t\' is [[1, 2],\n# [3, 4]]\n# \'e\' is [[5, 6],\n# [7, 8]]\nselect(condition, t, e) ==> [[1, 6],\n [7, 4]]\n\n\n# \'condition\' tensor is [True, False]\n# \'t\' is [[1, 2],\n# [3, 4]]\n# \'e\' is [[5, 6],\n# [7, 8]]\nselect(condition, t, e) ==> [[1, 2],\n [7, 8]]\n\n```" } op { name: "SelfAdjointEig" |