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cuDNN Graph API Conv+Bias Fusion Test
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CUDA device and cuDNN initialized

=== TEST 1: Convolution + Bias Fusion ===
Configuration: N=16, C=16, H=16, W=16, kH=3, kW=3
Expected: Should work but FAILS with all engines rejecting (3000)

✓ Input tensor created
✓ Weight tensor created
✓ Virtual conv output created (enables fusion)
✓ Bias tensor created
✓ Output tensor created
✓ Convolution descriptor created
✓ Pointwise descriptor created
✓ Convolution operation created
✓ Bias operation created
✓ Operation graph created (conv + bias fusion)

Attempting to create execution plan...
Found 8 engines
Retrieved 0 engine configs


✗✗✗ FAILURE: ALL 0 ENGINES REJECTED FUSION ✗✗✗
Error code 3000 = CUDNN_STATUS_NOT_SUPPORTED

=== TEST 2: Convolution Only (No Fusion) ===
Configuration: Same as Test 1 but without bias fusion
Expected: Should work (and DOES work)

✓ Input tensor created
✓ Weight tensor created
✓ Output tensor created (NOT virtual - no fusion)
✓ Convolution descriptor created
✓ Convolution operation created
✓ Operation graph created (convolution only)

Attempting to create execution plan...
Found 28 engines
Retrieved 28 engine configs

✓ Engine 1 finalized successfully

✓ TEST PASSED

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SUMMARY
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Test 1 (Conv+Bias Fusion): FAILED
Test 2 (Conv Only):        PASSED

DIAGNOSIS: Graph API works but fusion is not supported
This confirms the bug is specific to conv+bias fusion