-item {\n  // The separator between breadcrumbs (by default, a forward-slash: \"/\")\n  + .breadcrumb-item {\n    padding-left: $breadcrumb-item-padding;\n\n    &::before {\n      display: inline-block; // Suppress underlining of the separator in modern browsers\n      padding-right: $breadcrumb-item-padding;\n      color: $breadcrumb-divider-color;\n      content: escape-svg($breadcrumb-divider);\n    }\n  }\n\n  // IE9-11 hack to properly handle hyperlink underlines for breadcrumbs built\n  //...

-item {\n  // The separator between breadcrumbs (by default, a forward-slash: \"/\")\n  + .breadcrumb-item {\n    padding-left: $breadcrumb-item-padding;\n\n    &::before {\n      display: inline-block; // Suppress underlining of the separator in modern browsers\n      padding-right: $breadcrumb-item-padding;\n      color: $breadcrumb-divider-color;\n      content: escape-svg($breadcrumb-divider);\n    }\n  }\n\n  // IE9-11 hack to properly handle hyperlink underlines for breadcrumbs built\n  //...

    replaced with an alternative API in `tf.contrib.seq2seq`.

*   Intel MKL Integration
    (https://software.intel.com/en-us/articles/tensorflow-optimizations-on-modern-intel-architecture).
    Intel developed a number of optimized deep learning primitives: In addition
    to matrix multiplication and convolution, these building blocks include: