[mlir][linalg] Fix invalid IR in Linalg op fusion (#74425)

Linalg op fusion (`Linalg/Transforms/Fusion.cpp`) used to generate
invalid fused producer ops:
```
error: 'linalg.conv_2d_nhwc_hwcf' op expected type of operand #2 ('tensor<1x8x16x4xf32>') to match type of corresponding result ('tensor<?x?x?x?xf32>')
note: see current operation:
%24 = "linalg.conv_2d_nhwc_hwcf"(%21, %22, %23) <{dilations = dense<1> : tensor<2xi64>, operandSegmentSizes = array<i32: 2, 1>, strides = dense<2> : tensor<2xi64>}> ({
^bb0(%arg9: f32, %arg10: f32, %arg11: f32):
  %28 = "arith.mulf"(%arg9, %arg10) <{fastmath = #arith.fastmath<none>}> : (f32, f32) -> f32
  %29 = "arith.addf"(%arg11, %28) <{fastmath = #arith.fastmath<none>}> : (f32, f32) -> f32
  "linalg.yield"(%29) : (f32) -> ()
}) {linalg.memoized_indexing_maps = [affine_map<(d0, d1, d2, d3, d4, d5, d6) -> (d0, d1 * 2 + d4, d2 * 2 + d5, d6)>, affine_map<(d0, d1, d2, d3, d4, d5, d6) -> (d4, d5, d6, d3)>, affine_map<(d0, d1, d2, d3, d4, d5, d6) -> (d0, d1, d2, d3)>]} : (tensor<1x?x?x3xf32>, tensor<3x3x3x4xf32>, tensor<1x8x16x4xf32>) -> tensor<?x?x?x?xf32>
```

This is a problem because the input IR to greedy pattern rewriter during
`-test-linalg-greedy-fusion` is invalid. This commit fixes tests such as
`mlir/test/Dialect/Linalg/tile-and-fuse-tensors.mlir` when verifying the
IR after each pattern application (#74270).

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