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torch-mlir/test/npcomp-run-mlir/basic.mlir

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Bump llvm-project to 52cae05e087b3d4fd02849fc37c387c720055ffb (2020/6/10). * Fixes compile errors from upstream. * XFAIL several tests that are now failing to legalize (will hand off to Sean).
2020-06-12 07:08:58 +08:00
// XFAIL: *
Add bare-bones npcomp-run-mlir. The code isn't super clean, but is a useful incremental step establishing most of the boilerplate for future enhancements. We can't print or return tensors yet so correctness TBD, but I've stepped into the running code in the debugger so I know it definitely is running. This is the first step to building out an npcomp mini-runtime. The mini-runtime doesn't have to be fancy or complex, but it should at least be layered nicely (which this code and the current compiler interaction with the "runtime" code is not). Now that we have boilerplate for e2e execution in some form, we can build that out.
2020-05-29 07:41:36 +08:00
// RUN: npcomp-run-mlir -input %s -invoke basic -arg-value="dense<[1.0]> : tensor<1xf32>" \
// RUN: -shared-libs=%npcomp_runtime_shlib 2>&1 | FileCheck %s
// CHECK: SUCCESS
func @basic(%arg0: tensor<?xf32>) {
%0 = "tcf.add"(%arg0, %arg0) : (tensor<?xf32>, tensor<?xf32>) -> tensor<?xf32>
return
}