Automerge: [mlir][tosa] Fix transpose_conv2d verifier when output channels are dynamic (#147062)

This commit fixes a transpose_conv2d verifier check which compares the
output channels size to the bias size. The check didn't make sure output
channels were static before performing the comparison. This lead to
failures such as:
```
'tosa.transpose_conv2d' op bias channels expected to be equal to output channels (-9223372036854775808) or 1, got 5
```
when the output channels size was dynamic.

Author: lhutton1

mlir/lib/Dialect/Tosa/IR/TosaOps.cpp

@@ -3417,7 +3417,8 @@ LogicalResult TransposeConv2DOp::verify() {
     return success();
 
   const int64_t outputChannels = outputType.getDimSize(3);
-  if (biasChannels != outputChannels && biasChannels != 1)
+  if (!ShapedType::isDynamic(outputChannels) &&
+      biasChannels != outputChannels && biasChannels != 1)
     return emitOpError(
                "bias channels expected to be equal to output channels (")
            << outputChannels << ") or 1, got " << biasChannels;

mlir/test/Dialect/Tosa/tosa-infer-shapes.mlir

@@ -1032,6 +1032,15 @@ func.func @transpose_conv2d_strided(%arg0: tensor<1x5x7x1xf32>, %arg1: tensor<1x
 
 // -----
 
+// CHECK-LABEL: @transpose_conv2d_dynamic_out_channels
+func.func @transpose_conv2d_dynamic_out_channels(%arg0: tensor<2x1x1x3xf32>, %arg1: tensor<5x3x6x3xf32>, %arg2: tensor<5xf32>, %arg3: tensor<1xf32>, %arg4: tensor<1xf32>) {
+  // CHECK: -> tensor<2x3x6x5xf32>
+  %0 = tosa.transpose_conv2d %arg0, %arg1, %arg2, %arg3, %arg4 {acc_type = f32, out_pad = array<i64: 0, 0, 0, 0>, stride = array<i64: 1, 1>} : (tensor<2x1x1x3xf32>, tensor<5x3x6x3xf32>, tensor<5xf32>, tensor<1xf32>, tensor<1xf32>) -> tensor<2x3x6x?xf32>
+  return
+}
+
+// -----
+
 // CHECK-LABEL: @resize_int_horizontal
 func.func @resize_int_horizontal(%arg0: tensor<1x15x13x1xi8>) {
   %scale = tosa.const_shape { values = dense<[11, 7, 89, 6]> : tensor<4xindex> } : () -> !tosa.shape<4>