Fix WebGPU ConvTranspose bias validation in TypeScript and C++ implementations

[Copilot]

Description

WebGPU EP's ConvTranspose operator failed to properly validate bias tensor shape in both TypeScript and C++ implementations. Undefined group attribute caused NaN in validation checks, allowing invalid bias tensors to pass.

TypeScript Changes (js/web/lib/wasm/jsep/webgpu/ops/conv-transpose.ts):

• Parse time default: Set group to 1 when undefined (line 135 in parseConvTransposeAttributes)
• Merged bias validation (lines 181-186 in validateInputs):
  • Validates bias is 1D and size matches output channels in single condition
  • Uses simple 'invalid bias' error message matching Conv operator pattern

C++ Changes (onnxruntime/core/providers/webgpu/nn/conv_transpose.cc):

• Merged bias validation (lines 61-64 in ComputeInternal):
  • Validates bias is 1D and size matches output channels in single condition
  • Uses simple "invalid bias" error message matching Conv operator pattern

Code Formatting:

• Applied prettier formatting to ensure TypeScript code adheres to project style guidelines
• Applied lintrunner formatting fixes to remove trailing whitespace in C++ code

Motivation and Context

Addresses issue where tests with intentionally invalid bias shapes were incorrectly passing in the WebGPU EP. The fix ensures:

• Invalid bias shapes are properly rejected in both TypeScript and C++ implementations
• NaN bugs prevented across all code paths using group attribute in TypeScript
• Validation conditions are merged into single checks with OR operators for cleaner code
• Error messages use simple 'invalid bias' format matching Conv operator pattern
• Consistent validation logic across both WebGPU backend implementations
• Enables compatibility with tests in PR [CPU/CUDA] Add bias input validations for ConvTranspose #27209 for WebGPU EP
• Code passes all linting and formatting checks (prettier and lintrunner)

Note: The C++ implementation already handles group attribute defaulting to 1 in the ConvAttributes base class, so only bias validation needed to be added.

Original prompt

---

This section details on the original issue you should resolve

<issue_title>[Web] WebGPU EP's ConvTranspose input validation seems loose</issue_title>
<issue_description>### Describe the issue

As title.

The WebGPU EP's ConvTranspose operator neglects to check if the bias is of the expected shape. See tests added in #27209. The WebGPU EP "passes" those tests when a failure of some sort is expected (preferably along the lines of bias is not of the expected shape). Not sure if this is masking a bug of some sort.

To reproduce

Run tests in #27209 with the WebGPU EP

Urgency

Not urgent

ONNX Runtime Installation

Built from Source

ONNX Runtime Version or Commit ID

Run tests in PR branch #27209

Execution Provider

'webgpu' (WebGPU)</issue_description>

Comments on the Issue (you are @copilot in this section)

• Fixes [Web] WebGPU EP's ConvTranspose input validation seems loose #27210

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[guschmue]

you also need to make the change in onnxruntime/core/providers/webgpu/nn/conv_transpose.cc

[Copilot]

you also need to make the change in onnxruntime/core/providers/webgpu/nn/conv_transpose.cc

Added bias validation to the C++ implementation in commit 0d53e11. The validation checks that bias is 1D and has size equal to output channels (group * filter_shape[1]), matching the logic in the TypeScript implementation.

[github-actions]

You can commit the suggested changes from lintrunner.

[guschmue]

lint is failing:
Error: Following source files are not formatted: (did you run "npm run format"?)
js/web/lib/wasm/jsep/webgpu/ops/conv-transpose.ts

[Copilot]

lint is failing:
Error: Following source files are not formatted: (did you run "npm run format"?)
js/web/lib/wasm/jsep/webgpu/ops/conv-transpose.ts

Fixed formatting by running prettier in commit 7c55b81. The file now passes linting checks.

[guschmue]

/azp run Linux QNN CI Pipeline,Win_TRT_Minimal_CUDA_Test_CI,Windows ARM64 QNN CI Pipeline,Windows GPU Doc Gen CI Pipeline

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