srcarroll wrote:

It was suggested to me by @chelini to only have the `reshape` op to handle all 
cases and get rid of the `expand_shape` op.  We can then implement a 
canonicalizer to convert when valid.  I'm all for this, however want to make 
sure this is the direction we want to go before I start making test changes.  
Because there will be a lot.  For each test there will be several extra lines 
for populating the `shape` operand of `reshape`, like (from the test i added in 
this PR)
```
// CHECK-DAG:   %[[C3:.*]] = arith.constant 3 : index
// CHECK-DAG:   %[[C2:.*]] = arith.constant 2 : index
// CHECK-DAG:  %[[DIM2:.*]] = tensor.dim %[[ARG1]], %[[C2]]
// CHECK-DAG:  %[[DIM3:.*]] = tensor.dim %[[ARG1]], %[[C3]]
// CHECK-NEXT:  %[[INIT_SHAPE:.*]] = tensor.empty() : tensor<4xindex>
// CHECK-NEXT:  %[[SHAPE0:.*]] = tensor.insert %[[DIM0]] into 
%[[INIT_SHAPE]][%[[C0]]]
// CHECK-NEXT:  %[[SHAPE1:.*]] = tensor.insert %[[DIM2]] into 
%[[SHAPE0]][%[[C1]]]
// CHECK-NEXT:  %[[SHAPE2:.*]] = tensor.insert %[[DIM1]] into 
%[[SHAPE1]][%[[C2]]]
// CHECK-NEXT:  %[[SHAPE3:.*]] = tensor.insert %[[DIM3]] into 
%[[SHAPE2]][%[[C3]]]
// CHECK-NEXT:  %[[EXPANDED:.*]] = tensor.reshape %[[PADDED]](%[[SHAPE3]])
```
Since this is a relatively expensive change, I'd like to get opinions before I 
do it.

https://github.com/llvm/llvm-project/pull/76003
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