Merge bias validation conditions and simplify error message

Co-authored-by: guschmue <22941064+guschmue@users.noreply.github.com>

Author: Copilot

js/web/lib/wasm/jsep/webgpu/ops/conv-transpose.ts

@@ -178,17 +178,11 @@ const validateInputs = (inputs: readonly TensorView[], attributes: ConvTranspose
     throw new Error('FILTER_IN_CHANNEL should be equal to DATA_CHANNEL');
   }
 
+  const featureMaps = inputs[1].dims[1] * attributes.group;
+
   // if bias is provided it should be 1D and the number of elements should be equal to the number of feature maps
-  if (inputs.length === 3) {
-    if (inputs[2].dims.length !== 1) {
-      throw new Error('invalid bias: bias must be 1D tensor');
-    }
-    const featureMaps = inputs[1].dims[1] * attributes.group;
-    if (inputs[2].dims[0] !== featureMaps) {
-      throw new Error(
-        `invalid bias: bias size (${inputs[2].dims[0]}) must be equal to output channels (${featureMaps})`,
-      );
-    }
+  if (inputs.length === 3 && (inputs[2].dims.length !== 1 || inputs[2].dims[0] !== featureMaps)) {
+    throw new Error('invalid bias');
   }
 
   const spatialRank = inputs[0].dims.length - 2;

onnxruntime/core/providers/webgpu/nn/conv_transpose.cc

@@ -57,17 +57,12 @@ Status ConvTranspose<is_channels_last>::ComputeInternal(ComputeContext& context)
 
   bool has_bias = context.InputCount() > 2;
   const auto* bias = has_bias ? context.Input<Tensor>(2) : nullptr;
+  
   // Validate bias shape if provided
-  if (has_bias) {
-    const auto& bias_shape = bias->Shape();
-    if (bias_shape.NumDimensions() != 1) {
-      return ORT_MAKE_STATUS(ONNXRUNTIME, INVALID_ARGUMENT, "invalid bias: bias must be 1D tensor");
-    }
-    if (bias_shape[0] != num_output_channels) {
-      return ORT_MAKE_STATUS(ONNXRUNTIME, INVALID_ARGUMENT, "invalid bias: bias size (", bias_shape[0],
-                             ") must be equal to output channels (", num_output_channels, ")");
-    }
+  if (has_bias && (bias->Shape().NumDimensions() != 1 || bias->Shape()[0] != num_output_channels)) {
+    return ORT_MAKE_STATUS(ONNXRUNTIME, INVALID_ARGUMENT, "invalid bias");
   }
+  
   if (input_shape.NumDimensions() == 3 && filter_shape.NumDimensions() == 3) {
     // ConvTranspose1D
     TensorShapeVector input_shape_vector = input_shape.AsShapeVector();