A serialized sparse-tensor value
Value parameters
- dims
-
The shape of the underlying dense-tensor: [dim_1, dim_2, ... dim_rank]
- indices
-
The indices of the non-default values, which may be stored in one of two formats. (a) Indices can be a tensor of shape [NNZ, rank] with the [i,j]-th value corresponding to the j-th index of the i-th value (in the values tensor). (b) Indices can be a tensor of shape [NNZ], in which case the i-th value must be the linearized-index of the i-th value (in the values tensor). The linearized-index can be converted into an index tuple (k_1,...,k_rank) using the shape provided below. The indices must appear in ascending order without duplication. In the first format, the ordering is lexicographic-ordering: e.g., index-value [1,4] must appear before [2,1]
- values
-
The sequence of non-default values are encoded as a tensor of shape [NNZ]. The default-value is zero for numeric tensors, and empty-string for string tensors. values must have a non-empty name present which serves as a name for SparseTensorProto when used in sparse_initializer list.
Attributes
- Companion
- object
- Graph
-
- Supertypes
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trait Updatable[SparseTensorProto]trait GeneratedMessagetrait Serializabletrait Producttrait Equalsclass Objecttrait Matchableclass Any