{
  "id": "kena0ki/trt-optimized-rsna-convnextv2-inference",
  "id_no": 35369603,
  "title": "[trt][Optimized] RSNA ConvNextV2 Inference",
  "code_file": "trt-optimized-rsna-convnextv2-inference.ipynb",
  "language": "python",
  "kernel_type": "notebook",
  "is_private": false,
  "enable_gpu": true,
  "enable_tpu": false,
  "enable_internet": false,
  "keywords": [
    "gpu"
  ],
  "dataset_sources": [
    "",
    "markwijkhuizen/keras-cv-attention-models",
    "christofhenkel/nvidia-dali-nightly-cuda110-1230dev",
    "markwijkhuizen/rsna-efficientnetv2-training-tensorflow-tpu-ds",
    "remekkinas/rsnamodules",
    "tivfrvqhs5/torch-tensorrt-pkg"
  ],
  "kernel_sources": [
    "vslaykovsky/rsna-2022-whl"
  ],
  "competition_sources": [
    "rsna-breast-cancer-detection"
  ],
  "model_sources": [],
  "docker_image": "gcr.io/kaggle-private-byod/python@sha256:57c4ea6e84d0d186c13de35874062b80fa4cca1a4311f6ab510b636f627b80d9",
  "machine_shape": "Gpu"
}