def testMatrixMultiply(self):
self.setUp()
memrefType = self.module.make_memref_type(self.f32Type, [32, 32])
with self.module.function_context(
"matmul", [memrefType, memrefType, memrefType], []) as fun:
A = E.IndexedValue(fun.arg(0))
B = E.IndexedValue(fun.arg(1))
C = E.IndexedValue(fun.arg(2))
c0 = E.constant_index(0)
c32 = E.constant_index(32)
with E.LoopNestContext([c0, c0, c0], [c32, c32, c32], [1, 1, 1]) as (i, j,
k):
C.store([i, j], A.load([i, k]) * B.load([k, j]))
E.ret([])
printWithCurrentFunctionName(str(fun))
def testIndexedValue(self):
memrefType = self.module.make_memref_type(self.f32Type, [10, 42])
with self.module.function_context("indexed", [memrefType],
[memrefType]) as fun:
A = E.IndexedValue(fun.arg(0))
cst = E.constant_float(1., self.f32Type)
with E.LoopNestContext(
[E.constant_index(0), E.constant_index(0)],
[E.constant_index(10),
E.constant_index(42)], [1, 1]) as (i, j):
A.store([i, j], A.load([i, j]) + cst)
E.ret([fun.arg(0)])
code = str(fun)
self.assertIn('"affine.for"()', code)
self.assertIn(
"{lower_bound: () -> (0), step: 1 : index, upper_bound: () -> (10)}",
code)
self.assertIn('"affine.for"()', code)
self.assertIn(
"{lower_bound: () -> (0), step: 1 : index, upper_bound: () -> (42)}",
code)
self.assertIn("%0 = load %arg0[%i0, %i1] : memref<10x42xf32>", code)
self.assertIn("%1 = addf %0, %cst : f32", code)
self.assertIn("store %1, %arg0[%i0, %i1] : memref<10x42xf32>", code)
def testMLIRBooleanCompilation(self):
self.setUp()
m = self.module.make_memref_type(self.boolType, [10]) # i1 tensor
with self.module.function_context("mkbooltensor", [m, m], []) as f:
input = E.IndexedValue(f.arg(0))
output = E.IndexedValue(f.arg(1))
zero = E.constant_index(0)
ten = E.constant_index(10)
with E.LoopNestContext([zero] * 3, [ten] * 3, [1] * 3) as (i, j, k):
b1 = (i < j) & (j < k)
b2 = ~b1
b3 = b2 | (k < j)
output.store([i], input.load([i]) & b3)
E.ret([])
self.module.compile()
printWithCurrentFunctionName(str(self.module.get_engine_address() == 0))
def testIndexedValue(self):
self.setUp()
memrefType = self.module.make_memref_type(self.f32Type, [10, 42])
with self.module.function_context("indexed", [memrefType],
[memrefType]) as fun:
A = E.IndexedValue(fun.arg(0))
cst = E.constant_float(1., self.f32Type)
with E.LoopNestContext(
[E.constant_index(0), E.constant_index(0)],
[E.constant_index(10), E.constant_index(42)], [1, 1]) as (i, j):
A.store([i, j], A.load([i, j]) + cst)
E.ret([fun.arg(0)])
printWithCurrentFunctionName(str(fun))
def testMatrixMultiply(self):
memrefType = self.module.make_memref_type(self.f32Type, [32, 32])
with self.module.function_context("matmul",
[memrefType, memrefType, memrefType],
[]) as fun:
A = E.IndexedValue(fun.arg(0))
B = E.IndexedValue(fun.arg(1))
C = E.IndexedValue(fun.arg(2))
c0 = E.constant_index(0)
c32 = E.constant_index(32)
with E.LoopNestContext([c0, c0, c0], [c32, c32, c32],
[1, 1, 1]) as (i, j, k):
C.store([i, j], A.load([i, k]) * B.load([k, j]))
E.ret([])
code = str(fun)
self.assertIn(
'"affine.for"() {lower_bound: () -> (0), step: 1 : index, upper_bound: () -> (32)} : () -> ()',
code)
self.assertIn("%0 = load %arg0[%i0, %i2] : memref<32x32xf32>", code)
self.assertIn("%1 = load %arg1[%i2, %i1] : memref<32x32xf32>", code)
self.assertIn("%2 = mulf %0, %1 : f32", code)
self.assertIn("store %2, %arg2[%i0, %i1] : memref<32x32xf32>", code)
