[MLIR][affine] Proper handling of vector load / stores in Affine dialect and transformations

[dragondracarys007]

In the context of Issue-115849 , I see that affine transformation is producing invalid IR like below where vector is being stored to a memref of size 1x1xf32.

`affine.vector_store %5, %alloc[0, 0] : memref<1x1xf32>, vector<64x64xf32>

%6 = affine.vector_load %alloc[0, 0] : memref<1x1xf32>, vector<64x512xf32>`

I think validity of the affine transformations need to be enhanced by introducing good verifiers.

[llvmbot]

@llvm/issue-subscribers-mlir-affine

Author: None (dragondracarys007)

In the context of [Issue-115849](https://github.com//issues/115849) , I see that affine transformation is producing invalid IR like below where vector is being stored to a memref of size 1x1xf32.

`affine.vector_store %5, %alloc[0, 0] : memref<1x1xf32>, vector<64x64xf32>

%6 = affine.vector_load %alloc[0, 0] : memref<1x1xf32>, vector<64x512xf32>`

I think validity of the affine transformations need to be enhanced by introducing good verifiers.

[llvmbot]

Hi!

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[llvmbot]

@llvm/issue-subscribers-good-first-issue

Author: None (dragondracarys007)

In the context of [Issue-115849](https://github.com//issues/115849) , I see that affine transformation is producing invalid IR like below where vector is being stored to a memref of size 1x1xf32.

`affine.vector_store %5, %alloc[0, 0] : memref<1x1xf32>, vector<64x64xf32>

%6 = affine.vector_load %alloc[0, 0] : memref<1x1xf32>, vector<64x512xf32>`

I think validity of the affine transformations need to be enhanced by introducing good verifiers.

[bondhugula]

In this case, the transformation that generated invalid IR shouldn't have happened in the first place. I seehttps://github.com//issues/115849 as an instance of this issue.