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Update ops-related pbtxt files.

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A. Unique TensorFlower 2017-05-26 22:04:18 -07:00 committed by TensorFlower Gardener
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tensorflow/core/ops/ops.pbtxt
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@ -5458,7 +5458,7 @@ op {
}
output_arg {
name: "output"
description: "A double tensor of shape [12], the elements of which are:\n [0]: is initialized (1.0) or not (0.0).\n [1]: total number of elements\n [2]: NaN element count\n [3]: generalized -inf count: elements <= lower_bound. lower_bound is -inf by\n default.\n [4]: negative element count (excluding -inf), if lower_bound is the default\n -inf. Otherwise, this is the count of elements > lower_bound and < 0.\n [5]: zero element count\n [6]: positive element count (excluding +inf), if upper_bound is the default\n -inf. Otherwise, this is the count of elements < upper_bound and > 0.\n [7]: generalized +inf count, elements >= upper_bound. upper_bound is +inf by\n default.\nOutput elements [1:8] are all zero, if the tensor is uninitialized.\n [8]: minimum of all non-inf and non-NaN elements.\n If uninitialized or no such element exists: +inf.\n [9]: maximum of all non-inf and non-NaN elements.\n If uninitialized or no such element exists: -inf.\n [10]: mean of all non-inf and non-NaN elements.\n If uninitialized or no such element exists: NaN.\n [11]: variance of all non-inf and non-NaN elements.\n If uninitialized or no such element exists: NaN."
description: "A double tensor of shape [14 + nDimensions], where nDimensions is the\n the number of dimensions of the tensor\'s shape. The elements of output are:\n [0]: is initialized (1.0) or not (0.0).\n [1]: total number of elements\n [2]: NaN element count\n [3]: generalized -inf count: elements <= lower_bound. lower_bound is -inf by\n default.\n [4]: negative element count (excluding -inf), if lower_bound is the default\n -inf. Otherwise, this is the count of elements > lower_bound and < 0.\n [5]: zero element count\n [6]: positive element count (excluding +inf), if upper_bound is the default\n -inf. Otherwise, this is the count of elements < upper_bound and > 0.\n [7]: generalized +inf count, elements >= upper_bound. upper_bound is +inf by\n default.\nOutput elements [1:8] are all zero, if the tensor is uninitialized.\n [8]: minimum of all non-inf and non-NaN elements.\n If uninitialized or no such element exists: +inf.\n [9]: maximum of all non-inf and non-NaN elements.\n If uninitialized or no such element exists: -inf.\n [10]: mean of all non-inf and non-NaN elements.\n If uninitialized or no such element exists: NaN.\n [11]: variance of all non-inf and non-NaN elements.\n If uninitialized or no such element exists: NaN.\n [12]: Data type of the tensor encoded as an enum integer. See the DataType\n proto for more details.\n [13]: Number of dimensions of the tensor (ndims).\n [14+]: Sizes of the dimensions."
type: DT_DOUBLE
}
attr {