torch-mlir/test/E2E
Sean Silva f18014f60c LowerRankedShapes: support shape.const_shape op.
Also, the previous code had a special case for deleting this op when it
had no uses. This is subsumed by the change in this commit since now
shape.const_shape is properly lowered.

With this change, the included test case with multiple serially
dependent ops works!
This specific issue was related to the scalar argument to that
function. We needed to compute a broadcast of a scalar shape (which is a
shape.const_shape) with another shape.
2020-07-08 20:12:40 -07:00
..
e2e-basic.mlir Rework e2e flow to use new "npcomprt" 2020-07-08 19:36:19 -07:00
e2e-mixed-ranks.mlir Rework e2e flow to use new "npcomprt" 2020-07-08 19:36:19 -07:00
lower-alloc-memref-ops.mlir Lower tcp.alloc_memref ops to tcp.get_extent + std.alloc. 2020-05-18 12:53:31 -07:00
lower-linalg-tensor-to-memref.mlir Add custom assembly format for tcp.alloc_memref/tcp.get_extent 2020-05-11 15:28:34 -07:00
lower-ranked-shapes.mlir LowerRankedShapes: support shape.const_shape op. 2020-07-08 20:12:40 -07:00
lower-to-llvm.mlir Rework e2e flow to use new "npcomprt" 2020-07-08 19:36:19 -07:00
lower-to-npcomprt-abi.mlir Rework e2e flow to use new "npcomprt" 2020-07-08 19:36:19 -07:00
resolve-shape-of-ops.mlir Add custom assembly format for tcp.alloc_memref/tcp.get_extent 2020-05-11 15:28:34 -07:00
resolve-tensor-load-store-ops.mlir Add custom assembly format for tcp.alloc_memref/tcp.get_extent 2020-05-11 15:28:34 -07:00