mirror of https://github.com/llvm/torch-mlir
30 lines
1.0 KiB
MLIR
30 lines
1.0 KiB
MLIR
|
// RUN: npcomp-run-mlir %s \
|
||
|
|
// RUN: -invoke pow2 \
|
||
|
|
// RUN: -arg-value="dense<8.0> : tensor<f32>" \
|
||
|
|
// RUN: -shared-libs=%npcomp_runtime_shlib 2>&1 \
|
||
|
|
// RUN: | FileCheck %s
|
||
|
|
|
||
|
|
// 2^8 == 256
|
||
|
|
// CHECK: output #0: dense<2.560000e+02> : tensor<f32>
|
||
|
|
func @pow2(%arg0: tensor<f32>) -> tensor<f32> {
|
||
|
|
%c0 = constant 0 : index
|
||
|
|
%c1 = constant 1 : index
|
||
|
|
|
||
|
|
// Slight awkwardness: convert the tensor<f32> to an index.
|
||
|
|
// TODO: Allow passing plain integers/floats (not tensors) at
|
||
|
|
// calling convention boundaries.
|
||
|
|
|
||
|
|
%num_iters_float = extract_element %arg0[] : tensor<f32>
|
||
|
|
%num_iters_i32 = fptosi %num_iters_float : f32 to i32
|
||
|
|
%num_iters = index_cast %num_iters_i32 : i32 to index
|
||
|
|
|
||
|
|
// Repeatedly add the value to itself %num_iters times.
|
||
|
|
%tensor_c1 = constant dense<1.0> : tensor<f32>
|
||
|
|
%ret = scf.for %iv = %c0 to %num_iters step %c1 iter_args(%iter = %tensor_c1) -> tensor<f32> {
|
||
|
|
%doubled = tcf.add %iter, %iter : (tensor<f32>, tensor<f32>) -> tensor<f32>
|
||
|
|
scf.yield %doubled : tensor<f32>
|
||
|
|
}
|
||
|
|
return %ret : tensor<f32>
|
||
|
|
}
|
||
|
|
|