<table border="1" cellspacing="0" cellpadding="8">
    <tr>
        <th>Issue</th>
        <td>
            <a href=https://github.com/llvm/llvm-project/issues/119531>119531</a>
        </td>
    </tr>

    <tr>
        <th>Summary</th>
        <td>
            [mlir] Not able to bufferize tensor.concat operation
        </td>
    </tr>

    <tr>
      <th>Labels</th>
      <td>
            mlir
      </td>
    </tr>

    <tr>
      <th>Assignees</th>
      <td>
      </td>
    </tr>

    <tr>
      <th>Reporter</th>
      <td>
          UtkarshKunwar
      </td>
    </tr>
</table>

<pre>
    Tag: `llvmorg-19.1.5`

## Sample Input

```mlir
// concat.mlir
func.func @main(%1: tensor<3x4xf32>, %2: tensor<2x4xf32>) -> tensor<5x4xf32>
{
  %3 = tensor.concat dim(0) %1, %2: (tensor<3x4xf32>, tensor<2x4xf32>) -> tensor<5x4xf32>
  return %3: tensor<5x4xf32>
}
```

## Command used

```bash
mlir-opt concat.mlir --one-shot-bufferize
```

## Error encountered

```bash
concat.mlir:3:8: error: op was not bufferized
  %3 = tensor.concat dim(0) %1, %2: (tensor<3x4xf32>, tensor<2x4xf32>) -> tensor<5x4xf32>
       ^
concat.mlir:3:8: note: see current operation: %0 = "tensor.concat"(%arg0, %arg1) <{dim = 0 : i64}> : (tensor<3x4xf32>, tensor<2x4xf32>) -> tensor<5x4xf32>
```
</pre>
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