on Ampere based GPUs.TensorFloat-32, or TF32 for short, is a math mode
        for NVIDIA Ampere based GPUs which causes certain float32 ops, such as
        matrix multiplications and convolutions, to run much faster on Ampere
        GPUs but with reduced precision. This reduced precision has not been
        found to effect convergence quality of deep learning models in practice.

}\n  }\n\n  > .list-group:last-child {\n    .list-group-item:last-child {\n      @include border-bottom-radius($card-border-radius);\n    }\n  }\n}\n\n.card-body {\n  // Enable `flex-grow: 1` for decks and groups so that card blocks take up\n  // as much space as possible, ensuring footers are aligned to the bottom.\n  flex: 1 1 auto;\n  // Workaround for the image size bug in IE\n  // See: https://github.com/twbs/bootstrap/pull/28855\n  min-height: 1px;\n  padding: $card-spacer-x;\n  color: $card...

}\n  }\n\n  > .list-group:last-child {\n    .list-group-item:last-child {\n      @include border-bottom-radius($card-border-radius);\n    }\n  }\n}\n\n.card-body {\n  // Enable `flex-grow: 1` for decks and groups so that card blocks take up\n  // as much space as possible, ensuring footers are aligned to the bottom.\n  flex: 1 1 auto;\n  // Workaround for the image size bug in IE\n  // See: https://github.com/twbs/bootstrap/pull/28855\n  min-height: 1px;\n  padding: $card-spacer-x;\n  color: $card...