torch-mlir

Author	SHA1	Message	Date
Sean Silva	3f4161635c	Bump llvm-project to be7352c00d51f4358db3a23ed6a077f7cb48eafd - TensorFromElementsOp -> tensor::FromElementsOp - `cmpi "eq", ...` -> `cmpi eq, ...`. Same for `cmpf` - syntax change for private func ops - some changes to the python bindings	2021-01-21 11:16:55 -08:00
Sean Silva	97d6d04d41	Bump llvm-project to 16c6e9c58e9ae50a775945e6b407f1891f353d2f Changes: - linalg init tensor change (outs+init -> just outs) - IntegerType::get and other builtin types now take the context as the first arg - LLVMType::* is gone. Now LLVM Types are just regular Type's.	2021-01-05 16:12:11 -08:00
Aaron Arthurs	85898aaf10	Add TCF convolutional op with bias addition (#137 )	2020-12-15 12:53:12 -08:00
Sean Silva	1c7c362e29	[TCP] Replace tcp.matmul with linalg.matmul. This involved adding a `tcp.splatted` op to splat a dynamically sized init tensor. See rationale in TCPOps.td docs. One interesting observation is that when lowering tcf.matmul to linalg.matmul, we need to both 1) create the error checks and 2) calculate a shape transfer function to create the init tensors. Previously, 2) was deferred to bufferizing tcp.matmul later. I'm not sure if this is a conflation of concerns or not. For now, it's not a big burden.	2020-11-10 18:58:28 -08:00