ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());

  // Add a placeholder to the graph.
  auto* placeholder_op = TF_NewAbstractOp(graph_ctx);
  TF_AbstractOpSetOpType(placeholder_op, "Placeholder", status.get());
  ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());
  TF_AbstractOpSetOpName(placeholder_op, "my_ph", status.get());
  ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());

Guillaume Nodet <******@****.***> 1729859506 +0200

  TF_OperationDescription* placeholder_desc =
      TF_NewOperation(body.get(), "Placeholder", "Placeholder");
  TF_SetAttrType(placeholder_desc, "dtype", TF_FLOAT);
  TF_Operation* placeholder_op = TF_FinishOperation(placeholder_desc, status);
  if (TF_GetCode(status) != TF_OK) return;
  TF_Output x{placeholder_op, 0};

  TF_OperationDescription* reduce_desc =

    return;
  }

  TF_Operation* placeholder_op = TF_GraphOperationByName(
      session->graph,
      tensorflow::strings::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;
  }

 * It allows for the replacement of placeholders (e.g., ${variable}) with their corresponding values.
 *
 * @since 4.0.0
 */
@Experimental
public interface Interpolator extends Service {

    /**
     * Interpolates the values in the given map using the provided callback function.
     * This method defaults to setting empty strings for unresolved placeholders.
     *

olor:#495057;background-color:#fff;border-color:#80bdff;outline:0;box-shadow:inset 0 0 0 transparent}.form-control::-webkit-input-placeholder{color:#939ba2;opacity:1}.form-control::-moz-placeholder{color:#939ba2;opacity:1}.form-control:-ms-input-placeholder{color:#939ba2;opacity:1}.form-control::-ms-input-placeholder{color:#939ba2;opacity:1}.form-control::placeholder{color:#939ba2;opacity:1}.form-control:disabled,.form-control[readonly]{background-color:#e9ecef;opacity:1}input[type=date].form-co...

						<c:set var="ph_old_password">
							<la:message key="labels.profile.placeholder_old_password" />
						</c:set>
						<la:password property="oldPassword" class="form-control"
									 placeholder="${ph_old_password}" />
						<div class="input-group-append">
							<span class="input-group-text"><em class="fa fa-lock fa-fw"></span>
						</div>
					</div>
					<div class="input-group mb-3">

                      _CONTRIB_WARNING)
# The templated code that replaces the placeholder above sometimes
# sets the __all__ variable. If it does, we have to be sure to add
# "contrib".
if "__all__" in vars():
  vars()["__all__"].append("contrib")

from tensorflow.python.platform import flags
# The "app" module will be imported as part of the placeholder section above.
_current_module.app.flags = flags  # pylint: disable=undefined-variable

						<c:set var="ph_old_password">
							<la:message key="labels.profile.placeholder_old_password" />
						</c:set>
						<la:password property="oldPassword" class="form-control"
									 placeholder="${ph_old_password}" />
						<div class="input-group-append">
							<span class="input-group-text"><em class="fa fa-lock fa-fw"></span>
						</div>
					</div>
					<div class="input-group mb-3">

      default: 1

  - type: input
    id: author-other-languages-experience
    attributes:
      label: "Other Languages Experience"
      description: "What other languages do you have experience with?"
      placeholder: "Go, Python, JS, Rust"
    validations:
      required: false

  - type: checkboxes
    id: related-idea
    attributes:
      label: "Related Idea"
      options: