This patch adjust the load/store matrix intrinsics, formerly known as
llvm.matrix.columnwise.load/store, to improve the naming and allow
passing of extra information (volatile).
The patch performs the following changes:
* Rename columnwise.load/store to column.major.load/store. This is more
expressive and also more in line with the naming in Clang.
* Changes the stride arguments from i32 to i64. The stride can be
larger than i32 and this makes things more uniform with the way
things are handled in Clang.
* A new boolean argument is added to indicate whether the load/store
is volatile. The lowering respects that when emitting vector
load/store instructions
* MatrixBuilder is updated to require both Alignment and IsVolatile
arguments, which are passed through to the generated intrinsic. The
alignment is set using the `align` attribute.
The changes are grouped together in a single patch, to have a single
commit that breaks the compatibility. We probably should be fine with
updating the intrinsics, as we did not yet officially support them in
the last stable release. If there are any concerns, we can add
auto-upgrade rules for the columnwise intrinsics though.
Reviewers: anemet, Gerolf, hfinkel, andrew.w.kaylor, LuoYuanke, nicolasvasilache, rjmccall, ftynse
Reviewed By: anemet, nicolasvasilache
Differential Revision: https://reviews.llvm.org/D81472
Some tests were missing alignment info. Subsequent changes properly
preserve the set alignment. Set it properly beforehand, to avoid
unnecessary test changes.
This patch adds infrastructure for forward shape propagation to
LowerMatrixIntrinsics. It also updates the pass to make use of
the shape information to break up larger vector operations and to
eliminate unnecessary conversion operations between columnwise matrixes
and flattened vectors: if shape information is available for an
instruction, lower the operation to a set of instructions operating on
columns. For example, a store of a matrix is broken down into separate
stores for each column. For users that do not have shape
information (e.g. because they do not yet support shape information
aware lowering), we pack the result columns into a flat vector and
update those users.
It also adds shape aware lowering for the first non-intrinsic
instruction: vector stores.
Example:
For
%c = call <4 x double> @llvm.matrix.transpose(<4 x double> %a, i32 2, i32 2)
store <4 x double> %c, <4 x double>* %Ptr
We generate the code below without shape propagation. Note %9 which
combines the columns of the transposed matrix into a flat vector.
%split = shufflevector <4 x double> %a, <4 x double> undef, <2 x i32> <i32 0, i32 1>
%split1 = shufflevector <4 x double> %a, <4 x double> undef, <2 x i32> <i32 2, i32 3>
%1 = extractelement <2 x double> %split, i64 0
%2 = insertelement <2 x double> undef, double %1, i64 0
%3 = extractelement <2 x double> %split1, i64 0
%4 = insertelement <2 x double> %2, double %3, i64 1
%5 = extractelement <2 x double> %split, i64 1
%6 = insertelement <2 x double> undef, double %5, i64 0
%7 = extractelement <2 x double> %split1, i64 1
%8 = insertelement <2 x double> %6, double %7, i64 1
%9 = shufflevector <2 x double> %4, <2 x double> %8, <4 x i32> <i32 0, i32 1, i32 2, i32 3>
store <4 x double> %9, <4 x double>* %Ptr
With this patch, we propagate the 2x2 shape information from the
transpose to the store and we generate the code below. Note that we
store the columns directly and do not need an extra shuffle.
%9 = bitcast <4 x double>* %Ptr to double*
%10 = bitcast double* %9 to <2 x double>*
store <2 x double> %4, <2 x double>* %10, align 8
%11 = getelementptr double, double* %9, i32 2
%12 = bitcast double* %11 to <2 x double>*
store <2 x double> %8, <2 x double>* %12, align 8
Reviewers: anemet, Gerolf, reames, hfinkel, andrew.w.kaylor
Reviewed By: anemet
Differential Revision: https://reviews.llvm.org/D70897
Florian Hahn