],
)

cc_library(
    name = "coordinator",
    srcs = ["training/coordinator.cc"],
    hdrs = ["training/coordinator.h"],
    deps = [
        "//tensorflow/core:lib",
        "//tensorflow/core:lib_internal",
        "//tensorflow/core:protos_all_cc",
    ],
)

tf_cc_test(
    name = "coordinator_test",
    srcs = ["training/coordinator_test.cc"],
    deps = [
        ":cc_ops",

// If called multiple times, the Type field is set to the value of the last call.
func (b *JSONSchemaPropsApplyConfiguration) WithType(value string) *JSONSchemaPropsApplyConfiguration {
	b.Type = &value
	return b
}

// WithFormat sets the Format field in the declarative configuration to the given value

	return &EphemeralContainerApplyConfiguration{}
}

// WithName sets the Name field in the declarative configuration to the given value
// and returns the receiver, so that objects can be built by chaining "With" function invocations.
// If called multiple times, the Name field is set to the value of the last call.
func (b *EphemeralContainerApplyConfiguration) WithName(value string) *EphemeralContainerApplyConfiguration {

        'When `representative_dataset` is not provided, the model should be '
        'trained with quantization-aware training (QAT).'
    )
  if quantization_options.min_num_elements_for_weights > 0:
    logging.warn(
        'min_num_elements_for_weights is set but is not supported for the '
        'Post-training static range quantization. '
        'The flag is ignored.'
    )

  if is_qat_saved_model_or_method_no_quantize:

	return &PersistentVolumeSourceApplyConfiguration{}
}

// WithGCEPersistentDisk sets the GCEPersistentDisk field in the declarative configuration to the given value
// and returns the receiver, so that objects can be built by chaining "With" function invocations.
// If called multiple times, the GCEPersistentDisk field is set to the value of the last call.

	return &EphemeralContainerCommonApplyConfiguration{}
}

// WithName sets the Name field in the declarative configuration to the given value
// and returns the receiver, so that objects can be built by chaining "With" function invocations.
// If called multiple times, the Name field is set to the value of the last call.
func (b *EphemeralContainerCommonApplyConfiguration) WithName(value string) *EphemeralContainerCommonApplyConfiguration {

#include "tensorflow/compiler/mlir/quantization/tensorflow/python/py_function_lib.h"
#include "tensorflow/core/protobuf/meta_graph.pb.h"

namespace mlir::quant::stablehlo {

// Component for static-range post-training quantization (PTQ).
// TODO: b/320607042 - Add tests in python level.
class StaticRangePtqComponent : public Component {
 public:
  // Name of this component. Used for debugging purposes.

          service:
            name: service1
            port:
              number: 4200
        # Subpath without trailing /
      - path: /sub/path
        backend:
          service:
            name: service1
            port:
              number: 4201
      # With a trailing /
      - path: /sub/path/
        backend:
          service:
            name: service1
            port:

// If called multiple times, the Type field is set to the value of the last call.
func (b *JSONSchemaPropsApplyConfiguration) WithType(value string) *JSONSchemaPropsApplyConfiguration {
	b.Type = &value
	return b
}

// WithFormat sets the Format field in the declarative configuration to the given value

	return &PodSpecApplyConfiguration{}
}

// WithVolumes adds the given value to the Volumes field in the declarative configuration
// and returns the receiver, so that objects can be build by chaining "With" function invocations.
// If called multiple times, values provided by each call will be appended to the Volumes field.