rgba($color, .25);\n        }\n      }\n    }\n  }\n}\n","// Gradients\n\n@mixin gradient-bg($color) {\n  @if $enable-gradients {\n    background: $color linear-gradient(180deg, mix($body-bg, $color, 15%), $color) repeat-x;\n  } @else {\n    background-color: $color;\n  }\n}\n\n// Horizontal gradient, from left to right\n//\n// Creates two color stops, start and end, by specifying a color and position for each color stop.\n@mixin gradient-x($start-color: $gray-700, $end-color: $gray-800, $start-percent:...

-primary .bootstrap-datetimepicker-widget table td.second:hover,\n.card.bg-gradient-primary .bootstrap-datetimepicker-widget table thead tr:first-child th:hover,\n.card.bg-gradient-primary .bootstrap-datetimepicker-widget table td.day:hover,\n.card.bg-gradient-primary .bootstrap-datetimepicker-widget table td.hour:hover,\n.card.bg-gradient-primary .bootstrap-datetimepicker-widget table td.minute:hover,\n.card.bg-gradient-primary .bootstrap-datetimepicker-widget table td.second:hover {\n  background:...

.table td,.card.bg-primary .bootstrap-datetimepicker-widget .table th{border:none}.card.bg-gradient-primary .bootstrap-datetimepicker-widget table td.day:hover,.card.bg-gradient-primary .bootstrap-datetimepicker-widget table td.hour:hover,.card.bg-gradient-primary .bootstrap-datetimepicker-widget table td.minute:hover,.card.bg-gradient-primary .bootstrap-datetimepicker-widget table td.second:hover,.card.bg-gradient-primary .bootstrap-datetimepicker-widget table thead tr:first-child th:hover,.card.bg-primary...

bool GetAttrValue(TF_Operation* oper, const char* attr_name,
                  tensorflow::AttrValue* attr_value, TF_Status* s);

// Returns a sorted vector of std::pair<function_name, gradient_func> from
// graph_def.library().gradient()
std::vector<std::pair<string, string>> GetGradDefs(
    const tensorflow::GraphDef& graph_def);

// Returns a sorted vector of names contained in `grad_def`

// A TF_ExecutionContext stores knowledge about how to execute an operation.
// E.g. it could know whether we're in eager mode or graph mode, keeps track
// of gradient tapes, etc.
typedef struct TF_ExecutionContext TF_ExecutionContext;

// A TF_AbstractTensor is an input to an operation. E.g. it could be a union
// type of eager and graph tensors. It is also the result of executing an

std::vector<std::pair<string, string>> GetGradDefs(
    const tensorflow::GraphDef& graph_def) {
  std::vector<std::pair<string, string>> grads;
  for (const tensorflow::GradientDef& grad : graph_def.library().gradient()) {
    grads.emplace_back(grad.function_name(), grad.gradient_func());
  }
  std::sort(grads.begin(), grads.end());
  return grads;
}

std::vector<string> GetFuncNames(const tensorflow::GraphDef& graph_def) {
  std::vector<string> names;

  if (TF_GetCode(status) != TF_OK) return;

  tensorflow::GradientDef gdef;
  gdef.set_function_name(func->record->fdef().signature().name());
  gdef.set_gradient_func(grad->record->fdef().signature().name());
  status->status = g->graph.AddGradientDef(std::move(gdef));
}

int TF_GraphNumFunctions(TF_Graph* g) {
  tensorflow::mutex_lock l(g->mu);

    status->status = tensorflow::errors::Internal(
        "Invalid text proto for GraphDef: ", text_proto);
    return {};
  }
  const auto& fdef_lib = gdef.library();
  if (fdef_lib.gradient_size() > 0) {
    status->status = tensorflow::errors::Internal(
        "GradientDef is not supported in reading Dataset related functions: ",
        text_proto);
    return {};
  }

content:center;overflow:hidden;color:#fff;text-align:center;white-space:nowrap;background-color:#007bff;transition:width .6s ease}@media (prefers-reduced-motion:reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-size:1rem 1rem}.progress-bar-animated{-webkit-animation:progress-bar-stripes 1s linear in...

content:center;overflow:hidden;color:#fff;text-align:center;white-space:nowrap;background-color:#007bff;transition:width .6s ease}@media (prefers-reduced-motion:reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-size:1rem 1rem}.progress-bar-animated{-webkit-animation:progress-bar-stripes 1s linear in...