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/external/tensorflow/tensorflow/core/api_def/base_api/
Dapi_def_Roll.pbtxt7 elements are shifted positively (towards larger indices) along the dimension
25 positively (towards larger indices) by the offsets of `shift` along the
29 summary: "Rolls the elements of a tensor along an axis."
32 `shift` along the dimension of `axis`. Negative `shift` values will shift
34 will wrap around to the first and vice versa. Multiple shifts along multiple
43 # shifting along multiple dimensions
47 # shifting along the same axis multiple times
Dapi_def_SplitV.pbtxt12 list containing the sizes of each output tensor along the split
13 dimension. Must sum to the dimension of value along split_dim.
21 0-D. The dimension along which to split. Must be in the range
29 except along `split_dim`, where their sizes are
33 summary: "Splits a tensor into `num_split` tensors along one dimension."
Dapi_def_SparseConcat.pbtxt42 Dimension to concatenate along. Must be in range [-rank, rank),
46 summary: "Concatenates a list of `SparseTensor` along the specified dimension."
50 along increasing dimension number.
55 The output shape is identical to the inputs', except along the concat
56 dimension, where it is the sum of the inputs' sizes along that dimension.
58 The output elements will be resorted to preserve the sort order along
Dapi_def_UniqueV2.pbtxt19 A `Tensor`. Unique elements along the `axis` of `Tensor` x.
29 summary: "Finds unique elements along an axis of a tensor."
32 along the `axis` of a tensor. The returned unique elements is sorted
33 in the same order as they occur along `axis` in `x`.
35 the number of the elements in `x` along the `axis` dimension. It
Dapi_def_ReverseSequence.pbtxt31 The dimension along which reversal is performed.
36 This op first slices `input` along the dimension `batch_dim`, and for each
37 slice `i`, reverses the first `seq_lengths[i]` elements along
43 The output slice `i` along dimension `batch_dim` is then given by input
44 slice `i`, with the first `seq_lengths[i]` slices along dimension
Dapi_def_NthElement.pbtxt12 0-D. Position of sorted vector to select along the last dimension (along
19 The `n`-th order statistic along each last dimensional slice.
35 nth-smallest value in each row (resp. vector along the last dimension). Thus,
Dapi_def_UniqueWithCountsV2.pbtxt19 A `Tensor`. Unique elements along the `axis` of `Tensor` x.
35 summary: "Finds unique elements along an axis of a tensor."
38 along the `axis` of a tensor. The returned unique elements is sorted
39 in the same order as they occur along `axis` in `x`.
41 that are the same size as the number of the elements in `x` along the
Dapi_def_TopK.pbtxt12 The `k` largest elements along each last dimensional slice.
24 Number of top elements to look for along the last dimension (along each
42 row (resp. vector along the last dimension). Thus,
Dapi_def_TopKV2.pbtxt15 0-D. Number of top elements to look for along the last dimension (along each
22 The `k` largest elements along each last dimensional slice.
45 row (resp. vector along the last dimension). Thus,
Dapi_def_Concat.pbtxt7 0-D. The dimension along which to concatenate. Must be in the
21 A `Tensor` with the concatenation of values stacked along the
26 summary: "Concatenates tensors along one dimension."
Dapi_def_Split.pbtxt7 0-D. The dimension along which to split. Must be in the range
21 except along `split_dim`, where their sizes are
32 summary: "Splits a tensor into `num_split` tensors along one dimension."
Dapi_def_ConcatV2.pbtxt16 0-D. The dimension along which to concatenate. Must be in the
23 A `Tensor` with the concatenation of values stacked along the
28 summary: "Concatenates tensors along one dimension."
Dapi_def_RandomShuffle.pbtxt12 A tensor of same shape and type as `value`, shuffled along its first
30 summary: "Randomly shuffles a tensor along its first dimension."
32 The tensor is shuffled along dimension 0, such that each `value[j]` is mapped
Dapi_def_QuantizedConcat.pbtxt6 0-D. The dimension along which to concatenate. Must be in the
32 A `Tensor` with the concatenation of values stacked along the
49 summary: "Concatenates quantized tensors along one dimension."
Dapi_def_Unpack.pbtxt21 Dimension along which to unpack. Negative values wrap around, so the
27 Unpacks `num` tensors from `value` by chipping it along the `axis` dimension.
32 dimension unpacked along is gone, unlike `split`).
Dapi_def_Pack.pbtxt21 Dimension along which to pack. Negative values wrap around, so the
28 tensor in `values`, by packing them along the `axis` dimension.
41 pack([x, y, z]) => [[1, 4], [2, 5], [3, 6]] # Pack along first dim.
Dapi_def_ParallelConcat.pbtxt23 summary: "Concatenates a list of `N` tensors along the first dimension."
33 parallel_concat([x, y, z]) => [[1, 4], [2, 5], [3, 6]] # Pack along first dim.
Dapi_def_SparseSplit.pbtxt6 0-D. The dimension along which to split. Must be in the range
50 summary: "Split a `SparseTensor` into `num_split` tensors along one dimension."
Dapi_def_AllToAll.pbtxt51 On each replica, the input is split into `split_count` blocks along
54 blocks along `concat_dimension` as the output.
/external/python/cpython2/Doc/library/
Dcmath.rst50 cut for this operation lies along the negative real axis,
101 along the negative real axis to -∞, continuous from above.
124 1 along the real axis to ∞, continuous from below. The other extends left from
125 -1 along the real axis to -∞, continuous from above.
136 ``1j`` along the imaginary axis to ``∞j``, continuous from the right. The
137 other extends from ``-1j`` along the imaginary axis to ``-∞j``, continuous
165 extending left from 1 along the real axis to -∞, continuous from above.
171 One extends from ``1j`` along the imaginary axis to ``∞j``,
172 continuous from the right. The other extends from ``-1j`` along
182 extends from ``1`` along the real axis to ``∞``, continuous from below. The
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/external/python/cpython3/Doc/library/
Dcmath.rst51 cut for this operation lies along the negative real axis,
97 along the negative real axis to -∞, continuous from above.
117 1 along the real axis to ∞, continuous from below. The other extends left from
118 -1 along the real axis to -∞, continuous from above.
129 ``1j`` along the imaginary axis to ``∞j``, continuous from the right. The
130 other extends from ``-1j`` along the imaginary axis to ``-∞j``, continuous
155 extending left from 1 along the real axis to -∞, continuous from above.
161 One extends from ``1j`` along the imaginary axis to ``∞j``,
162 continuous from the right. The other extends from ``-1j`` along
169 extends from ``1`` along the real axis to ``∞``, continuous from below. The
[all …]
/external/grpc-grpc/src/python/grpcio_tests/tests/protoc_plugin/protos/requests/r/
Dtest_requests.proto30 // input payload sent along with the request.
35 // input payload sent along with the request.
60 // input payload sent along with the request.
/external/tensorflow/tensorflow/core/util/sparse/
DREADME.md10 along which the indices are ordered.
144 SparseTensors. Concatenation is performed along dimension order[0]
160 Concatenate two sparse matrices along columns.
192 conc_order = {1, 0} // Orders match along all inputs
207 // can still concatenate along this dimension.
/external/grpc-grpc/src/objective-c/examples/RemoteTestClient/
Dmessages.proto53 // Optional input payload sent along with the request.
76 // Optional input payload sent along with the request.
110 // Optional input payload sent along with the request.
/external/ltp/testcases/kernel/fs/linktest/
DREADME18 License along with this program; if not, write to the Free
50 have to be manually removed (along with any links or files in them).

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