[mlir][linalg][bufferize] Fix CallOp bufferization

Previously, CallOps did not have any aliasing OpResult/OpOperand pairs. Therefore, CallOps were mostly ignored by the analysis and buffer copies were not inserted when necessary.

This commit introduces the following changes:
* Function bbArgs writable by default. A function can now be bufferized without inspecting its callers.
* Callers must introduce buffer copies of function arguments when necessary. If a function is external, the caller must conservatively assume that a function argument is modified by the callee after bufferization. If the function is not external, the caller inspects the callee to determine if a function argument is modified.

Differential Revision: https://reviews.llvm.org/D116457

Author: matthias-springer

mlir/lib/Dialect/Linalg/ComprehensiveBufferize/BufferizableOpInterface.cpp

@@ -256,6 +256,7 @@ bool mlir::linalg::comprehensive_bufferize::BufferizationState::
 /// themselves (e.g., ExtractSliceOp).
 bool mlir::linalg::comprehensive_bufferize::BufferizationState::isValueRead(
     Value value) const {
+  assert(value.getType().isa<TensorType>() && "expected TensorType");
   SmallVector<OpOperand *> workingSet;
   for (OpOperand &use : value.getUses())
     workingSet.push_back(&use);