EnzymeXLA Dialect

Reactant.MLIR.Dialects.enzymexla.blas_symm Method

blas_symm

C := alpha_A_B + beta_C, or C := alpha_B_A + beta_C, where alpha and beta are scalars, A is a symmetric matrix"

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Reactant.MLIR.Dialects.enzymexla.blas_syrk Method

blas_syrk

C := alpha_A_A^T + beta_C, or C := alpha_A^T_A + beta_C, where alpha and beta are scalars. C must be a n x n symmetric matrix.

If fill is present, then both the upper and lower triangles of the matrix are filled. Otherwise the values in the non-uplo part of the matrix are undefined.

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Reactant.MLIR.Dialects.enzymexla.blas_trmm Method

blas_trmm

B := alpha * op(A) x B, or B := alpha * B x op(A), where alpha is a scalar, B is a m x n matrix, A is a unit, or non-unit, upper or lower triangular matrix, and op(A) is one of op(A) = A, or op(A) = A^T or A^H.

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Reactant.MLIR.Dialects.enzymexla.gpu_wrapper Method

gpu_wrapper

The optional arguments to this operation are suggestions about what block dimensions this gpu kernel should have - usually taken f rom kernel launch params

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Reactant.MLIR.Dialects.enzymexla.lapack_gemqrt Method

lapack_gemqrt

This operation is modeled after LAPACK's *GEMQR routines.

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Reactant.MLIR.Dialects.enzymexla.lapack_geqrf Method

lapack_geqrf

This operation computes the QR factorization of a matrix using Householder reflections. Mathematically, it decomposes A into the product of an orthogonal matri x Q and an upper triangular matrix R, such that A = QR.

This operation is modeled after LAPACK's *GEQRF routines, which returns the result in the QR packed format.

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Reactant.MLIR.Dialects.enzymexla.lapack_geqrt Method

lapack_geqrt

This operation computes the QR factorization of a matrix using Householder reflections. Mathematically, it decomposes A into the product of an orthogonal matrix Q and an upper triangular matrix R, such that A = QR.

This operation is modeled after LAPACK's *GEQRT routines, which returns the result in the QR CompactWY format.

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Reactant.MLIR.Dialects.enzymexla.lapack_orgqr Method

lapack_orgqr

This operation is modeled after LAPACK's _ORGQR/_UNGQR routines.

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Reactant.MLIR.Dialects.enzymexla.lapack_ormqr Method

lapack_ormqr

This operation is modeled after LAPACK's *ORMQR routines.

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Reactant.MLIR.Dialects.enzymexla.linalg_qr Method

linalg_qr

This operation computes the QR factorization of a matrix using Householder reflections. Mathematically, it decomposes A into the product of an orthogonal (unitary if complex) matrix Q and an upper triangular matrix R, such that A = QR.

If A has size m x n and m > n, Q is an m x n isometric matrix. If m < n, R will be a m x n trapezoidal matrix.

This operation is modeled after the mathematical formulation of the QR factorization, and not after LAPACK's compact formats.

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Reactant.MLIR.Dialects.enzymexla.memcpy Method

memcpy

The gpu.memcpy operation copies the content of one memref to another.

The op does not execute before all async dependencies have finished executing.

If the async keyword is present, the op is executed asynchronously (i.e. it does not block until the execution has finished on the device). In that case, it returns a !gpu.async.token.

Example

%token = gpu.memcpy async [%dep] %dst, %src : memref<?xf32, 1>, memref<?xf32>

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