diff --git a/mlir/lib/Dialect/Tosa/IR/TosaOps.cpp b/mlir/lib/Dialect/Tosa/IR/TosaOps.cpp
index a0dc8964f7a02..85ab48b37813f 100644
--- a/mlir/lib/Dialect/Tosa/IR/TosaOps.cpp
+++ b/mlir/lib/Dialect/Tosa/IR/TosaOps.cpp
@@ -3429,7 +3429,8 @@ 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;
diff --git a/mlir/test/Dialect/Tosa/tosa-infer-shapes.mlir b/mlir/test/Dialect/Tosa/tosa-infer-shapes.mlir
index e280c1155f526..d0f40279421f4 100644
--- a/mlir/test/Dialect/Tosa/tosa-infer-shapes.mlir
+++ b/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>