//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful
// but WITHOUT ANY WARRANTY; without even the implied warranty of

//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful
// but WITHOUT ANY WARRANTY; without even the implied warranty of

            !backward_pass_ops.contains(user)) {
          core_tpu_ops.insert(user);
        }
      }
    }
  }

  // Gather all TPU ops marked for compilation in this while loop body that also
  // are not in one of the two other sets.
  for (Operation& op : loop_body_func.getOps()) {
    // Find all TPU ops that don't belong to the forward or backward pass.

		case expfmt.OpenMetricsVersion_0_0_1, "":
			return FmtOpenMetrics_0_0_1
		}
	}
	return FmtText
}

func scrapeAndWriteAgentMetrics(registry prometheus.Gatherer, w io.Writer) error {
	mfs, err := registry.Gather()
	enc := expfmt.NewEncoder(w, FmtText)
	if err != nil {
		return err
	}
	for _, mf := range mfs {
		if err := enc.Encode(mf); err != nil {
			return err
		}
	}

  //   f = scale * (q - zero_point)
  // For other quantization types, the QuantizationDetails below is used.
  min:[float];  // For importing back into tensorflow.
  max:[float];  // For importing back into tensorflow.
  scale:[float];  // For dequantizing the tensor's values.
  zero_point:[long];

  // If this is not none, the other quantization parameters (i.e. min, max,

// a sign of a bug in an Analyzer.
func (s *Set) Encode() []byte {
	encoder := new(objectpath.Encoder)

	// TODO(adonovan): opt: use a more efficient encoding
	// that avoids repeating PkgPath for each fact.

	// Gather all facts, including those from imported packages.
	var gobFacts []gobFact

	s.mu.Lock()
	for k, fact := range s.m {
		if debug {
			log.Printf("%v => %s\n", k, fact)
		}

    rhs_remove_idx.insert(v);
  }

  // Gather shapes for output.
  for (auto v : ddn.lhs_batch_dimensions()) {
    output_shape.push_back(lhs_shape[v]);
  }

  // Batch dimension is gathered from the right side.
  if (output_shape.empty()) {
    for (auto v : ddn.rhs_batch_dimensions()) {
      output_shape.push_back(rhs_shape[v]);
    }
  }

  // Gather remaining dimensions.

		return true
	}

	c.queue.Forget(key)
	return true
}

func (c *nodeResourcesController) sync(ctx context.Context, driverName string) error {
	logger := klog.FromContext(ctx)

	// Gather information about the actual and desired state.
	slices := c.sliceStore.List()
	var driverResources []*resourceapi.ResourceModel
	c.mutex.RLock()
	if active, ok := c.activePlugins[driverName]; ok {

      : inner_op_result(inner_op_result), island_result(island_result) {}

  Value inner_op_result;
  Value island_result;
};

// This structure is used to gather the new operands and result of an island
// during merging.
struct IslandOperandsAndResults {
  llvm::SmallSetVector<Value, 8> operands;
  llvm::SmallVector<IslandResult> results;
};

  // followed by gather. This is used when the saved model import path is used
  // during which resources don't get frozen in the python layer.
  pass_manager->addNestedPass<mlir::func::FuncOp>(
      mlir::TFDevice::CreateDecomposeResourceOpsPass());

  pass_manager->addPass(mlir::TF::CreateTFRegionControlFlowToFunctional());
}

// This is the later part of the conversion in isolation. This enables a caller