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torch-mlir/test/E2E/e2e-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: *
Initial TCF/TCP E2E seed. Very much WIP. This is enough to get tcf.add down to approximately the "linalg.generic on buffers" level of abstraction. (but there are nuances)
2020-05-07 09:41:54 +08:00
// RUN: npcomp-opt <%s -pass-pipeline=e2e-lowering-pipeline | FileCheck %s --dump-input=fail
Add ability to run without optimizations. The default is to only do the bare minimum needed for correctness, since that stresses the layering of the system maximally.
2020-06-02 10:30:13 +08:00
// RUN: npcomp-opt <%s -pass-pipeline=e2e-lowering-pipeline{optimize} | FileCheck %s --dump-input=fail
Initial TCF/TCP E2E seed. Very much WIP. This is enough to get tcf.add down to approximately the "linalg.generic on buffers" level of abstraction. (but there are nuances)
2020-05-07 09:41:54 +08:00
Tidy up test/E2E - Make rank1.mlir be the new "basic.mlir", as it is really the simplest case. - Move basic.mlir to mixed-ranks.mlir - Delete starting-from-linalg.mlir, it wasn't really useful anymore.
2020-05-15 05:57:09 +08:00
// This is the simplest case, which is easy to stare at for debugging
// purposes.
Initial TCF/TCP E2E seed. Very much WIP. This is enough to get tcf.add down to approximately the "linalg.generic on buffers" level of abstraction. (but there are nuances)
2020-05-07 09:41:54 +08:00
// CHECK-LABEL: func @rank1
func @rank1(%arg0: tensor<?xf32>, %arg1: tensor<?xf32>) -> tensor<?xf32> {
%0 = "tcf.add"(%arg0, %arg1) : (tensor<?xf32>, tensor<?xf32>) -> tensor<?xf32>
return %0 : tensor<?xf32>
}