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Label and close inactive issues Label and close inactive issues #10475: Scheduled
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Label and close inactive issues Label and close inactive issues #10474: Scheduled
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Label and close inactive issues Label and close inactive issues #10473: Scheduled
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LSTM model converted to TensorRT is slower than PyTorch on RTX 4090 Remove feedback label on comment #569: Issue comment #4490 (comment) created by nMoussa
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LSTM model converted to TensorRT is slower than PyTorch on RTX 4090 Blossom-CI #8001: Issue comment #4490 (comment) created by nMoussa
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Label and close inactive issues Label and close inactive issues #10472: Scheduled
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Label and close inactive issues Label and close inactive issues #10471: Scheduled
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Label and close inactive issues Label and close inactive issues #10470: Scheduled
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Label and close inactive issues Label and close inactive issues #10469: Scheduled
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Polygraphy only supports a single input sample (iteration) during debug reduce Blossom-CI #8000: Issue comment #4607 (comment) created by timothyanderson096-ocdealcheck
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Polygraphy only supports a single input sample (iteration) during debug reduce Remove feedback label on comment #568: Issue comment #4607 (comment) created by timothyanderson096-ocdealcheck
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Myelin "Could not infer output types for operation: dequantize" on SM 8.7 (Orin); identical engine builds on SM 11.0 (Thor) with the same TensorRT 10.16.2.10 Blossom-CI #7999: Issue comment #4832 (comment) created by kvnloo
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Myelin "Could not infer output types for operation: dequantize" on SM 8.7 (Orin); identical engine builds on SM 11.0 (Thor) with the same TensorRT 10.16.2.10 Remove feedback label on comment #567: Issue comment #4832 (comment) created by kvnloo
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TRT 11.1 strongly-typed FP32 engine silently produces wrong results for a DETR-style detection model (correct in ONNXRuntime and TRT 10.13) Remove feedback label on comment #566: Issue comment #4813 (comment) created by kvnloo
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TRT 11.1 strongly-typed FP32 engine silently produces wrong results for a DETR-style detection model (correct in ONNXRuntime and TRT 10.13) Blossom-CI #7998: Issue comment #4813 (comment) created by kvnloo
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TRT 11.2: Transpose of a network input folded into a fused MHA operand with the permutation applied to the shape but not to the strides Remove feedback label on comment #565: Issue comment #4826 (comment) created by kvnloo
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TRT 11.2: Transpose of a network input folded into a fused MHA operand with the permutation applied to the shape but not to the strides Blossom-CI #7997: Issue comment #4826 (comment) created by kvnloo
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TensorRT Build Error: Tensor Volume Exceeds 2^31 Limit for Large Fixed Shapes (Super-Resolution/Restoration Models) Remove feedback label on comment #564: Issue comment #4408 (comment) created by kvnloo
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TensorRT Build Error: Tensor Volume Exceeds 2^31 Limit for Large Fixed Shapes (Super-Resolution/Restoration Models) Blossom-CI #7996: Issue comment #4408 (comment) created by kvnloo
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DINOv2 (Vision Transformer) FMHA Fusion Failure in TensorRT 10.8.0.43 with PyTorch 2.7.1 ONNX Export (with GPU 3080) Blossom-CI #7995: Issue comment #4537 (comment) created by kvnloo
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DINOv2 (Vision Transformer) FMHA Fusion Failure in TensorRT 10.8.0.43 with PyTorch 2.7.1 ONNX Export (with GPU 3080) Remove feedback label on comment #563: Issue comment #4537 (comment) created by kvnloo
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Precision/behavior failure of TensorRT 10.12 when running mixed FP32/FP16 image restoration on GPU RTX 3080 Laptop Blossom-CI #7994: Issue comment #4645 (comment) created by kvnloo
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Precision/behavior failure of TensorRT 10.12 when running mixed FP32/FP16 image restoration on GPU RTX 3080 Laptop Remove feedback label on comment #562: Issue comment #4645 (comment) created by kvnloo
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LSTM model converted to TensorRT is slower than PyTorch on RTX 4090 Remove feedback label on comment #561: Issue comment #4490 (comment) created by kvnloo
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LSTM model converted to TensorRT is slower than PyTorch on RTX 4090 Blossom-CI #7993: Issue comment #4490 (comment) created by kvnloo
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