SparseReshape

public final class SparseReshape

Reshapes a SparseTensor to represent values in a new dense shape.

This operation has the same semantics as reshape on the represented dense tensor. The `input_indices` are recomputed based on the requested `new_shape`.

If one component of `new_shape` is the special value -1, the size of that dimension is computed so that the total dense size remains constant. At most one component of `new_shape` can be -1. The number of dense elements implied by `new_shape` must be the same as the number of dense elements originally implied by `input_shape`.

Reshaping does not affect the order of values in the SparseTensor.

If the input tensor has rank `R_in` and `N` non-empty values, and `new_shape` has length `R_out`, then `input_indices` has shape `[N, R_in]`, `input_shape` has length `R_in`, `output_indices` has shape `[N, R_out]`, and `output_shape` has length `R_out`.

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

static SparseReshape
create ( Scope scope, Operand < TInt64 > inputIndices, Operand < TInt64 > inputShape, Operand < TInt64 > newShape)
Factory method to create a class wrapping a new SparseReshape operation.
Output < TInt64 >
Output < TInt64 >

Inherited Methods

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "SparseReshape"

Public Methods

public static SparseReshape create ( Scope scope, Operand < TInt64 > inputIndices, Operand < TInt64 > inputShape, Operand < TInt64 > newShape)

Factory method to create a class wrapping a new SparseReshape operation.

Parameters
scope current scope
inputIndices 2-D. `N x R_in` matrix with the indices of non-empty values in a SparseTensor.
inputShape 1-D. `R_in` vector with the input SparseTensor's dense shape.
newShape 1-D. `R_out` vector with the requested new dense shape.
Returns
  • a new instance of SparseReshape

public Output < TInt64 > outputIndices ()

2-D. `N x R_out` matrix with the updated indices of non-empty values in the output SparseTensor.

public Output < TInt64 > outputShape ()

1-D. `R_out` vector with the full dense shape of the output SparseTensor. This is the same as `new_shape` but with any -1 dimensions filled in.