torch-mlir/test/npcomp-run-mlir/multiple-ops.mlir

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// RUN: npcomp-run-mlir -input %s \
// RUN: -invoke multiple_ops \
// RUN: -arg-value="dense<1.0> : tensor<f32>" \
// RUN: -arg-value="dense<[1.0]> : tensor<1xf32>" \
// RUN: -arg-value="dense<[[1.0, 2.0], [3.0, 4.0]]> : tensor<2x2xf32>" \
// RUN: -shared-libs=%npcomp_runtime_shlib 2>&1 \
// RUN: | FileCheck %s
// CHECK: output #0: dense<[
// CHECK-SAME: [3.000000e+00, 4.000000e+00], [5.000000e+00, 6.000000e+00]]> : tensor<2x2xf32>
func @multiple_ops(%arg0: tensor<f32>, %arg1: tensor<?xf32>, %arg2: tensor<?x?xf32>) -> tensor<?x?xf32> {
%0 = "tcf.add"(%arg1, %arg2) : (tensor<?xf32>, tensor<?x?xf32>) -> tensor<?x?xf32>
%1 = "tcf.add"(%arg0, %0) : (tensor<f32>, tensor<?x?xf32>) -> tensor<?x?xf32>
return %1 : tensor<?x?xf32>
}