*     message is formed by replacing each {@code %s} placeholder in the template with an
   *     argument. These are matched by position - the first {@code %s} gets {@code
   *     errorMessageArgs[0]}, etc. Unmatched arguments will be appended to the formatted message in
   *     square braces. Unmatched placeholders will be left as-is.

}

void TF_SetAttrPlaceholder(TF_OperationDescription* desc, const char* attr_name,
                           const char* placeholder) {
  tensorflow::AttrValue attr_value;
  attr_value.set_placeholder(placeholder);
  desc->node_builder.Attr(attr_name, attr_value);
}

void TF_SetAttrFuncName(TF_OperationDescription* desc, const char* attr_name,

				<div class="input-group">
					<input class="form-control form-control-sidebar" name="q" id="query"
						   maxlength="1000"
						   placeholder="<la:message key="labels.sidebar.placeholder_search" />">
					<div class="input-group-append">
						<button class="btn btn-sidebar" type="submit" name="search" id="search-btn">

   *     message is formed by replacing each {@code %s} placeholder in the template with an
   *     argument. These are matched by position - the first {@code %s} gets {@code
   *     errorMessageArgs[0]}, etc. Unmatched arguments will be appended to the formatted message in
   *     square braces. Unmatched placeholders will be left as-is.

 {\n  .placeholder {\n    animation: placeholder-glow 2s ease-in-out infinite;\n  }\n}\n\n@keyframes placeholder-glow {\n  50% {\n    opacity: $placeholder-opacity-min;\n  }\n}\n\n.placeholder-wave {\n  mask-image: linear-gradient(130deg, $black 55%, rgba(0, 0, 0, (1 - $placeholder-opacity-min)) 75%, $black 95%);\n  mask-size: 200% 100%;\n  animation: placeholder-wave 2s linear infinite;\n}\n\n@keyframes placeholder-wave {\n  100% {\n    mask-position: -200% 0%;\n  }\n}\n","// All-caps `RGBA()` function...

      session->graph, absl::StrCat("arg_tensor_enqueue_", tensor_id).c_str());
  if (placeholder_op == nullptr) {
    status->status = tensorflow::errors::Internal(
        "Unable to find the placeholder node as input to enqueue in the TF "
        "graph.");
    return;
  }

  VLOG(1) << "Running the enqueue op";
  TF_Output input{placeholder_op, 0};
  TF_SessionRun(session, /*run_options*/ nullptr,

                    updatePhase(data.phase, 'active');
                    var phaseMessage = config.labels.phases[data.phase] || data.message || 'Processing...';
                    // Replace __keywords__ placeholder with actual keywords
                    if (data.keywords) {
                        phaseMessage = phaseMessage.replace('__keywords__', data.keywords);
                    }

#80bdff;\n  outline: 0;\n  box-shadow: inset 0 0 0 rgba(0, 0, 0, 0);\n}\n\n.form-control::-webkit-input-placeholder {\n  color: #939ba2;\n  opacity: 1;\n}\n\n.form-control::-moz-placeholder {\n  color: #939ba2;\n  opacity: 1;\n}\n\n.form-control:-ms-input-placeholder {\n  color: #939ba2;\n  opacity: 1;\n}\n\n.form-control::-ms-input-placeholder {\n  color: #939ba2;\n  opacity: 1;\n}\n\n.form-control::placeholder {\n  color: #939ba2;\n  opacity: 1;\n}\n\n.form-control:disabled, .form-control[readonly] {\n ...

 * at one time; if a value is not available to be edited then [edit] will return null.
 *
 *  * When an entry is being **created** it is necessary to supply a full set of values; the empty
 *    value should be used as a placeholder if necessary.
 *
 *  * When an entry is being **edited**, it is not necessary to supply data for every value; values
 *    default to their previous value.
 *

}

TEST(CAPI, Function_ident_CPU) {
  // First create a simple identity function.
  TF_Graph* function_graph = TF_NewGraph();
  TF_OperationDescription* arg_descr =
      TF_NewOperation(function_graph, "Placeholder", "arg");
  TF_SetAttrType(arg_descr, "dtype", TF_INT32);
  TF_Status* status = TF_NewStatus();
  TF_Operation* arg = TF_FinishOperation(arg_descr, status);
  ASSERT_TRUE(TF_GetCode(status) == TF_OK) << TF_Message(status);