Ensure that numerator is divisible by the denominator.

For a given operation `op`, computes whether it is beneficial to sink the operation into the kernel. An operation can be sunk if doing so does not int

Suppose m and n are non-negative integers.

Generates unrolled copies of scf::ForOp 'loopBodyBlock', with associated 'forOpIV' by 'unrollFactor', calling 'ivRemapFn' to remap 'forOpIV' for each

Get the resulting extent in a given dimension. This is computed with any number of extent tensors and shifted offsets into them.

Return null is not a copy-removable copy-like ops, otherwise return the copied result value.

Get ops that depends on the given op in the same block. It assumes the ops in the block do not have regions.

Returns nullptr if not found or supported.

Returns the `EdgePaddingHigh` for `axis`.

Return the operand index if 'value' is a operand of 'op' If there are multiple operands of 'op' that are all 'value', return the first index

Returns the fusion op this descriptor holds.

Returns nullptr if not found or supported.

Return the iteration domain range.

For any mutable type, map it to a type such that all other types which it can alias will be mapped to the same type. This function follows a similar l

static */

Return a value representing an access into a global string with the given name, creating the string if necessary.

add pre-defined pdll patterns here.

Promotes result types for arithmetic operations on Tensor operands using new type promotion logic. See tensor_attributes.rst for details. This doesn't

sparse_ids = sparse_ops.sparse_reshape(sparse_ids, [ math_ops.reduce_prod( array_ops.slice(original_shape, [0], [original_rank - 1])), array_ops.gathe

rewrite sparse_fill_empty_rows + sparse_segment_reduction to sparse_segment_reduction_with_empty_rows

Returns the `StartIndex` for `axis`.