pub struct AffineForOperation<'c> { /* private fields */ }Expand description
A for operation. For operation.
Syntax:
operation ::= `affine.for` ssa-id `=` lower-bound `to` upper-bound
(`step` integer-literal)? `{` op* `}`
lower-bound ::= `max`? affine-map-attribute dim-and-symbol-use-list | shorthand-bound
upper-bound ::= `min`? affine-map-attribute dim-and-symbol-use-list | shorthand-bound
shorthand-bound ::= ssa-id | `-`? integer-literalThe affine.for operation represents an affine loop nest. It has one region
containing its body. This region must contain one block that terminates with
affine.yield. Note: when
affine.for is printed in custom format, the terminator is omitted. The
block has one argument of index type that
represents the induction variable of the loop.
The affine.for operation executes its body a number of times iterating
from a lower bound to an upper bound by a stride. The stride, represented by
step, is a positive constant integer which defaults to “1” if not present.
The lower and upper bounds specify a half-open range: the range includes the
lower bound but does not include the upper bound.
The lower and upper bounds of a affine.for operation are represented as an
application of an affine mapping to a list of SSA values passed to the map.
The same restrictions hold for
these SSA values as for all bindings of SSA values to dimensions and
symbols.
The affine mappings for the bounds may return multiple results, in which
case the max/min keywords are required (for the lower/upper bound
respectively), and the bound is the maximum/minimum of the returned values.
There is no semantic ambiguity, but MLIR syntax requires the use of these
keywords to make things more obvious to human readers.
Many upper and lower bounds are simple, so MLIR accepts two custom form
syntaxes: the form that accepts a single ‘ssa-id’ (e.g. %N) is shorthand
for applying that SSA value to a function that maps a single symbol to
itself, e.g., ()[s]->(s)()[%N]. The integer literal form (e.g. -42) is
shorthand for a nullary mapping function that returns the constant value
(e.g. ()->(-42)()).
Example showing reverse iteration of the inner loop:
#map57 = affine_map<(d0)[s0] -> (s0 - d0 - 1)>
func.func @simple_example(%A: memref<?x?xf32>, %B: memref<?x?xf32>) {
%N = dim %A, 0 : memref<?x?xf32>
affine.for %i = 0 to %N step 1 {
affine.for %j = 0 to %N { // implicitly steps by 1
%0 = affine.apply #map57(%j)[%N]
%tmp = call @F1(%A, %i, %0) : (memref<?x?xf32>, index, index)->(f32)
call @F2(%tmp, %B, %i, %0) : (f32, memref<?x?xf32>, index, index)->()
}
}
return
}affine.for can also operate on loop-carried variables (iter_args) and
return the final values after loop termination. The initial values of the
variables are passed as additional SSA operands to the affine.for
following the operands for the loop’s lower and upper bounds. The
operation’s region has equivalent arguments for each variable representing
the value of the variable at the current iteration.
The region must terminate with an affine.yield that passes all the current
iteration variables to the next iteration, or to the affine.for’s results
if at the last iteration. For affine.for’s that execute zero iterations, the
initial values of the loop-carried variables (corresponding to the SSA
operands) will be the op’s results.
For example, to sum-reduce a memref:
func.func @reduce(%buffer: memref<1024xf32>) -> (f32) {
// Initial sum set to 0.
%sum_0 = arith.constant 0.0 : f32
// iter_args binds initial values to the loop's region arguments.
%sum = affine.for %i = 0 to 10 step 2
iter_args(%sum_iter = %sum_0) -> (f32) {
%t = affine.load %buffer[%i] : memref<1024xf32>
%sum_next = arith.addf %sum_iter, %t : f32
// Yield current iteration sum to next iteration %sum_iter or to %sum
// if final iteration.
affine.yield %sum_next : f32
}
return %sum : f32
}%res:2 = affine.for %i = 0 to 128 iter_args(%arg0 = %init0, %arg1 = %init1)
-> (index, index) {
%y0 = arith.addi %arg0, %c1 : index
%y1 = arith.addi %arg1, %c2 : index
affine.yield %y0, %y1 : index, index
}If the affine.for defines any values, a yield terminator must be
explicitly present. The number and types of the “affine.for” results must
match the initial values in the iter_args binding and the yield operands.
Implementations§
Source§impl<'c> AffineForOperation<'c>
impl<'c> AffineForOperation<'c>
Sourcepub fn as_operation(&self) -> &Operation<'c>
pub fn as_operation(&self) -> &Operation<'c>
Returns a generic operation.
Sourcepub fn builder(
context: &'c Context,
location: Location<'c>,
) -> AffineForOperationBuilder<'c, Unset, Unset, Unset, Unset, Unset, Unset, Unset, Unset>
pub fn builder( context: &'c Context, location: Location<'c>, ) -> AffineForOperationBuilder<'c, Unset, Unset, Unset, Unset, Unset, Unset, Unset, Unset>
Creates a builder.
pub fn results(&self) -> impl Iterator<Item = OperationResult<'c, '_>>
pub fn lower_bound_operands( &self, ) -> Result<impl Iterator<Item = Value<'c, '_>>, Error>
pub fn upper_bound_operands( &self, ) -> Result<impl Iterator<Item = Value<'c, '_>>, Error>
pub fn inits(&self) -> Result<impl Iterator<Item = Value<'c, '_>>, Error>
pub fn region(&self) -> Result<RegionRef<'c, '_>, Error>
pub fn lower_bound_map(&self) -> Result<Attribute<'c>, Error>
pub fn set_lower_bound_map(&mut self, value: Attribute<'c>)
pub fn upper_bound_map(&self) -> Result<Attribute<'c>, Error>
pub fn set_upper_bound_map(&mut self, value: Attribute<'c>)
pub fn step(&self) -> Result<IntegerAttribute<'c>, Error>
pub fn set_step(&mut self, value: IntegerAttribute<'c>)
Trait Implementations§
Source§impl<'c> Clone for AffineForOperation<'c>
impl<'c> Clone for AffineForOperation<'c>
Source§fn clone(&self) -> AffineForOperation<'c>
fn clone(&self) -> AffineForOperation<'c>
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source. Read more