Delete deprecated protos.

PiperOrigin-RevId: 199822232

3 files changed, 1 insertions, 499 deletions

diff --git a/tensorflow/compiler/xla/rpc/xla_service.proto b/tensorflow/compiler/xla/rpc/xla_service.proto
index 92eb19ec0f..551ae895e0 100644
--- a/tensorflow/compiler/xla/rpc/xla_service.proto
+++ b/tensorflow/compiler/xla/rpc/xla_service.proto
@@ -115,10 +115,6 @@ service XlaService {
       returns (ComputeConstantResponse) {
   }
 
-  // Retrieves the inferred shape for a value within a computation.
-  rpc GetLocalShape(GetLocalShapeRequest) returns (GetLocalShapeResponse) {
-  }
-
   // Requests one or more device handles from the target. The returned device
   // handles can be used to specify the device on which to execute computations
   // or transfer data.
@@ -132,18 +128,6 @@ service XlaService {
       returns (CreateChannelHandleResponse) {
   }
 
-  // Requests that the referenced computation be specialized for the provided
-  // arguments for subsequent execution. This permits things such as value
-  // specialization.
-  rpc Specialize(SpecializeRequest) returns (SpecializeResponse) {
-  }
-
-  // Modifies the provided computation so that subsequent executions
-  // will compute the provided ComputationDataHandle, rather than the
-  // last expression enqueued on that Computation.
-  rpc SetReturnValue(SetReturnValueRequest) returns (SetReturnValueResponse) {
-  }
-
   // Invokes the provided computation with the provided global data passed as
   // immutable arguments. The request contains the whole computation graph.
   // Returns global data output and execution timing.
diff --git a/tensorflow/compiler/xla/xla.proto b/tensorflow/compiler/xla/xla.proto
index 53ba120d21..6f07e4606b 100644
--- a/tensorflow/compiler/xla/xla.proto
+++ b/tensorflow/compiler/xla/xla.proto
@@ -225,14 +225,6 @@ message ExecutionOptions {
   repeated DeviceHandle device_handles = 5;
 }
 
-message SnapshotComputationRequest {
-  ComputationHandle computation = 1;
-}
-
-message LoadComputationSnapshotResponse {
-  ComputationHandle computation = 1;
-}
-
 message GetDeviceHandlesRequest {
   int64 device_count = 1;
 }
@@ -291,11 +283,6 @@ message ResetDeviceRequest {
 message ResetDeviceResponse {
 }
 
-message ComputationStatsRequest {
-  ComputationHandle computation = 1;
-  DebugOptions debug_options = 2;
-}
-
 message ComputationGraphStatsRequest {
   HloModuleProto computation = 1;
   DebugOptions debug_options = 2;
@@ -305,14 +292,6 @@ message ComputationStatsResponse {
   ComputationStats stats = 1;
 }
 
-message ComputationRequest {
-  string name = 1;
-}
-
-message ComputationResponse {
-  ComputationHandle computation = 1;
-}
-
 message CreateChannelHandleRequest {
 }
 
@@ -327,24 +306,6 @@ message UnregisterRequest {
 message UnregisterResponse {
 }
 
-message SetReturnValueRequest {
-  ComputationHandle computation = 1;
-  ComputationDataHandle operand = 2;
-}
-
-message SetReturnValueResponse {
-}
-
-message ExecuteRequest {
-  reserved 3, 4;
-
-  ComputationHandle computation = 1;
-  repeated GlobalDataHandle arguments = 2;
-
-  // Options that affect how XLA compiles and runs code to service this request.
-  ExecutionOptions execution_options = 5;
-}
-
 message ExecuteGraphRequest {
   HloModuleProto computation = 1;
   repeated GlobalDataHandle arguments = 2;
@@ -353,10 +314,6 @@ message ExecuteGraphRequest {
   ExecutionOptions execution_options = 3;
 }
 
-message ExecuteParallelRequest {
-  repeated ExecuteRequest requests = 1;
-}
-
 message ExecuteGraphParallelRequest {
   repeated ExecuteGraphRequest requests = 1;
 }
@@ -370,21 +327,6 @@ message ExecuteParallelResponse {
   repeated ExecuteResponse responses = 1;
 }
 
-message ExecuteAsyncRequest {
-  reserved 3, 4;
-
-  ComputationHandle computation = 1;
-  repeated GlobalDataHandle arguments = 2;
-
-  // Options that affect how XLA compiles and runs code to service this request.
-  ExecutionOptions execution_options = 6;
-}
-
-message ExecuteAsyncResponse {
-  // A handle to the execution launched asynchronously.
-  ExecutionHandle execution = 1;
-}
-
 message WaitForExecutionRequest {
   ExecutionHandle execution = 1;
 }
@@ -394,31 +336,13 @@ message WaitForExecutionResponse {
   ExecutionProfile profile = 2;
 }
 
-message IsConstantRequest {
-  ComputationHandle computation = 1;
-  ComputationDataHandle operand = 2;
-  int64 num_parameters = 3;
-}
-
-message IsConstantResponse {
-  bool is_constant = 1;
-}
-
-message ComputeConstantRequest {
-  ComputationHandle computation = 1;
-  ComputationDataHandle operand = 2;
-  Layout output_layout = 3;
-  repeated LiteralProto parameters = 4;
-}
-
 message ComputeConstantGraphRequest {
   HloModuleProto computation = 1;
   Layout output_layout = 2;
 }
 
 message ComputeConstantResponse {
-  // A LiteralProto is returned directly for this request, instead of a
-  // ComputationDataHandle.
+  // A LiteralProto is returned directly for this request.
   LiteralProto literal = 1;
 }
 
@@ -460,14 +384,6 @@ message LoadDataResponse {
   int64 nanoseconds = 5;
 }
 
-message SpecializeRequest {
-  ComputationHandle computation = 1;
-  repeated GlobalDataHandle arguments = 2;
-}
-
-message SpecializeResponse {
-}
-
 message GetShapeRequest {
   GlobalDataHandle data = 1;
 }
@@ -476,14 +392,6 @@ message GetShapeResponse {
   Shape shape = 1;
 }
 
-message GetComputationShapeRequest {
-  ComputationHandle computation = 1;
-}
-
-message GetComputationShapeResponse {
-  ProgramShape program_shape = 1;
-}
-
 message UnpackRequest {
   GlobalDataHandle data = 1;
 }
diff --git a/tensorflow/compiler/xla/xla_data.proto b/tensorflow/compiler/xla/xla_data.proto
index 6bdfb0179c..963d3836ed 100644
--- a/tensorflow/compiler/xla/xla_data.proto
+++ b/tensorflow/compiler/xla/xla_data.proto
@@ -276,12 +276,6 @@ message ExecutionProfile {
   int64 compute_and_transfer_time_ns = 5;
 }
 
-// Handle given to a user that represents a computation that the user builds up
-// before execution.
-message ComputationHandle {
-  int64 handle = 1;
-}
-
 // Handle given to a user that represents an execution that the user launched
 // asynchronously on the device.
 message ExecutionHandle {
@@ -295,13 +289,6 @@ message GlobalDataHandle {
   int64 handle = 1;
 }
 
-// Handle given to a user that represents a data result in a computation.
-// This is used to pass to subsequent computations that depends upon the data as
-// an operand.
-message ComputationDataHandle {
-  int64 handle = 1;
-}
-
 // Handle given to a user that represents a replicated virtual device. Each
 // replicated device represents N physical devices for execution where N is the
 // number of replicas.
@@ -441,44 +428,6 @@ message GatherDimensionNumbers {
   int64 index_vector_dim = 4;
 }
 
-// Operation requests that are all collected as a tagged union with a oneof
-// field in OpRequest.
-
-message ConstantRequest {
-  LiteralProto literal = 2;
-}
-
-message GetTupleElementRequest {
-  ComputationDataHandle operand = 2;
-  int64 index = 3;
-}
-
-message SliceRequest {
-  ComputationDataHandle operand = 2;
-  repeated int64 start_indices = 3;
-  repeated int64 limit_indices = 4;
-  repeated int64 strides = 5;
-}
-
-message DynamicSliceRequest {
-  // Operand from which to slice at dynamic 'start_indices'.
-  ComputationDataHandle operand = 2;
-  // Dynamically computed 'start_indices' for slice operation.
-  ComputationDataHandle start_indices = 3;
-  // Slice sizes for each dimension (note that indices calculations are computed
-  // modulo dimension sizes to avoid out-of-bound array accesses).
-  repeated int64 slice_sizes = 4;
-}
-
-message DynamicUpdateSliceRequest {
-  // Operand on which slice 'update' is to be applied.
-  ComputationDataHandle operand = 2;
-  // The slice update to apply to 'operand'.
-  ComputationDataHandle update = 3;
-  // Dynamically computed start indices for the update slice operation.
-  ComputationDataHandle start_indices = 4;
-}
-
 message ConvolutionDimensionNumbers {
   // The number of the dimension that represents batch in the input.
   int64 input_batch_dimension = 7;
@@ -516,13 +465,6 @@ message ConvolutionDimensionNumbers {
   // Next = 13
 };
 
-message ConvolveRequest {
-  ComputationDataHandle lhs = 2;
-  ComputationDataHandle rhs = 3;  // This is the filter/kernel.
-  Window window = 4;              // Describes the filter/kernel.
-  ConvolutionDimensionNumbers dimension_numbers = 5;
-}
-
 enum FftType {
   FFT = 0;    // Forward FFT; complex in, complex out.
   IFFT = 1;   // Inverse FFT; complex in, complex out.
@@ -531,56 +473,6 @@ enum FftType {
               //                   fft_length real out
 }
 
-message FftRequest {
-  FftType fft_type = 1;
-  repeated int64 fft_length = 2;  // Multivalent for higher-order FFT.
-  ComputationDataHandle operand = 3;
-}
-
-message InfeedRequest {
-  // The shape of the data returned by reading the device's infeed buffer.
-  Shape shape = 2;
-
-  // Additional infeed configuration for the backend.
-  bytes config = 3;
-}
-
-message OutfeedRequest {
-  // The shape of the data returned by reading the device's outfeed buffer.
-  Shape shape = 1;
-
-  // Operand to the Outfeed. Supports tuple.
-  ComputationDataHandle operand = 2;
-
-  // Backend-specific information for how to perform the outfeed.
-  bytes outfeed_config = 3;
-}
-
-message CallRequest {
-  ComputationHandle to_apply = 2;
-  repeated ComputationDataHandle operands = 3;
-}
-
-message CustomCallRequest {
-  string call_target_name = 2;
-  repeated ComputationDataHandle operands = 3;
-  Shape shape = 4;
-}
-
-message HostComputeRequest {
-  // Operand to the HostCompute. Supports tuple.
-  repeated ComputationDataHandle operands = 1;
-
-  // Name used to identify HostSend/Recv channels.
-  string channel_name = 2;
-
-  // Cost estimate in nanoseconds.
-  int64 cost_estimate_ns = 3;
-
-  // The shape of any data returned by host.
-  Shape shape = 4;
-}
-
 message DotDimensionNumbers {
   // The dimension numbers that represent the 'lhs' contracting dimensions.
   repeated int64 lhs_contracting_dimensions = 1;
@@ -592,179 +484,6 @@ message DotDimensionNumbers {
   repeated int64 rhs_batch_dimensions = 4;
 };
 
-message DotRequest {
-  ComputationDataHandle lhs = 2;
-  ComputationDataHandle rhs = 3;
-  DotDimensionNumbers dimension_numbers = 4;
-}
-
-message MapRequest {
-  repeated ComputationDataHandle operands = 2;
-  ComputationHandle to_apply = 3;
-  repeated ComputationDataHandle static_operands = 4;
-  // The dimensions over which to map.
-  // Example mapping a Dot operation along the batch dimension 0:
-  //   operand0.shape = [2, 2, 2], operand1.shape = [2,2,3]
-  //   Map({operand0, operand1}, Dot, {0})
-  repeated int64 dimensions = 5;
-}
-
-message ReduceRequest {
-  // Operand to the reduction.
-  ComputationDataHandle operand = 2;
-
-  // Initial value for the reduction. This must be consistent with the result
-  // shape of to_apply.
-  ComputationDataHandle init_value = 3;
-
-  // The dimensions to reduce over.
-  repeated int64 dimensions = 4;
-
-  // The computation to apply in the reduction.
-  ComputationHandle to_apply = 5;
-}
-
-message ReduceWindowRequest {
-  ComputationDataHandle operand = 2;
-  ComputationDataHandle init_value = 3;
-  Window window = 4;
-  ComputationHandle to_apply = 5;
-}
-
-message BatchNormTrainingRequest {
-  ComputationDataHandle operand = 1;
-  ComputationDataHandle scale = 2;
-  ComputationDataHandle offset = 3;
-  float epsilon = 4;
-  int64 feature_index = 5;
-}
-
-message BatchNormInferenceRequest {
-  ComputationDataHandle operand = 1;
-  ComputationDataHandle scale = 2;
-  ComputationDataHandle offset = 3;
-  ComputationDataHandle mean = 4;
-  ComputationDataHandle variance = 5;
-  float epsilon = 6;
-  int64 feature_index = 7;
-}
-
-message BatchNormGradRequest {
-  ComputationDataHandle operand = 1;
-  ComputationDataHandle scale = 2;
-  ComputationDataHandle mean = 3;
-  ComputationDataHandle variance = 4;
-  ComputationDataHandle grad_output = 5;
-  float epsilon = 6;
-  int64 feature_index = 7;
-}
-
-message CrossReplicaSumRequest {
-  ComputationDataHandle operand = 2;
-}
-
-message SelectAndScatterRequest {
-  // Operand array on which the windows slide.
-  ComputationDataHandle operand = 2;
-
-  // Source array for the data to scatter.
-  ComputationDataHandle source = 3;
-
-  // Initial scalar value for each element in the output.
-  ComputationDataHandle init_value = 4;
-
-  // Window configuration.
-  Window window = 5;
-
-  // Binary function used to select an element from each window.
-  ComputationHandle select = 6;
-
-  // Binary function used to combine each scattered value from source with the
-  // current output value at the selected location.
-  ComputationHandle scatter = 7;
-}
-
-message ReverseRequest {
-  ComputationDataHandle operand = 2;
-  repeated int64 dimensions = 3;
-}
-
-message BroadcastRequest {
-  ComputationDataHandle operand = 2;
-  repeated int64 broadcast_sizes = 3;
-}
-
-message PadRequest {
-  ComputationDataHandle operand = 2;
-  ComputationDataHandle padding_value = 3;
-  PaddingConfig padding_config = 4;
-}
-
-message ReshapeRequest {
-  ComputationDataHandle operand = 2;
-
-  // The dimension order for collapse (from fastest-changing to slowest).
-  repeated int64 dimensions = 3;
-
-  // The new dimension sizes (from dimension 0 to n-1).
-  repeated int64 new_sizes = 4;
-}
-
-message TransposeRequest {
-  ComputationDataHandle operand = 2;
-
-  // The permutation of the operand's dimensions (in the range 0 to n-1).
-  repeated int64 dimensions = 3;
-}
-
-message ParameterRequest {
-  Shape shape = 2;
-  int64 parameter = 3;
-  string name = 4;
-}
-
-message GetLocalShapeRequest {
-  ComputationHandle computation = 1;
-  ComputationDataHandle operand = 2;
-}
-
-message GetLocalShapeResponse {
-  Shape shape = 1;
-}
-
-message TraceRequest {
-  string tag = 2;
-  ComputationDataHandle operand = 3;
-}
-
-message ConvertRequest {
-  ComputationDataHandle operand = 2;
-  PrimitiveType new_element_type = 3;
-}
-
-message ConcatenateRequest {
-  repeated ComputationDataHandle operands = 2;
-  // The dimension in which we concatenate; e.g. if you had dimension arrays of
-  // [4, 1] and [5, 1], you'd concatenate in dimension 0 to produce a [9, 1].
-  // Attempting to concatenate those in dimension 1 would produce an error, as
-  // 4 != 5 (and there is no ragged array support).
-  int64 dimension = 3;
-}
-
-message ConditionalRequest {
-  ComputationDataHandle predicate = 2;
-  ComputationDataHandle true_operand = 3;
-  ComputationHandle true_computation = 4;
-  ComputationDataHandle false_operand = 5;
-  ComputationHandle false_computation = 6;
-}
-
-message WhileRequest {
-  ComputationHandle condition = 2;
-  ComputationHandle body = 3;
-  ComputationDataHandle init = 4;
-}
-
 enum UnaryOperation {
   UNOP_INVALID = 0;
 
@@ -827,11 +546,6 @@ enum UnaryOperation {
   UNOP_LOG1P = 19;
 }
 
-message UnaryOpRequest {
-  UnaryOperation unop = 2;
-  ComputationDataHandle operand = 3;
-}
-
 enum BinaryOperation {
   BINOP_INVALID = 0;
 
@@ -876,13 +590,6 @@ enum BinaryOperation {
   BINOP_ATAN2 = 24;
 }
 
-message BinaryOpRequest {
-  BinaryOperation binop = 2;
-  ComputationDataHandle lhs = 3;
-  ComputationDataHandle rhs = 4;
-  repeated int64 broadcast_dimensions = 5;
-}
-
 enum RandomDistribution {
   RNG_INVALID = 0;
 
@@ -897,12 +604,6 @@ enum RandomDistribution {
   // Next: 4
 }
 
-message RngRequest {
-  RandomDistribution distribution = 2;
-  repeated ComputationDataHandle parameter = 3;
-  Shape shape = 4;
-}
-
 enum TernaryOperation {
   TRIOP_INVALID = 0;
 
@@ -916,13 +617,6 @@ enum TernaryOperation {
   TRIOP_CLAMP = 3;
 }
 
-message TernaryOpRequest {
-  TernaryOperation triop = 2;
-  ComputationDataHandle lhs = 3;
-  ComputationDataHandle rhs = 4;
-  ComputationDataHandle ehs = 5;
-}
-
 enum VariadicOperation {
   VAROP_INVALID = 0;
 
@@ -930,34 +624,6 @@ enum VariadicOperation {
   VAROP_TUPLE = 1;
 }
 
-message VariadicOpRequest {
-  VariadicOperation varop = 2;
-  repeated ComputationDataHandle operands = 3;
-}
-
-message ReducePrecisionRequest {
-  ComputationDataHandle operand = 1;
-  int32 exponent_bits = 2;
-  int32 mantissa_bits = 3;
-}
-
-message SendRequest {
-  ComputationDataHandle operand = 1;
-  ChannelHandle channel_handle = 2;
-}
-
-message RecvRequest {
-  Shape shape = 1;
-  ChannelHandle channel_handle = 2;
-}
-
-message GatherRequest {
-  ComputationDataHandle input = 1;
-  ComputationDataHandle gather_indices = 2;
-  GatherDimensionNumbers dimension_numbers = 3;
-  repeated int64 window_bounds = 4;
-}
-
 message OpSharding {
   enum Type {
     // This sharding is replicated across all devices (implies maximal,
@@ -988,59 +654,3 @@ message OpSharding {
   // to.
   repeated OpSharding tuple_shardings = 5;
 }
-
-message OpRequest {
-  ComputationHandle computation = 1;
-  OpMetadata metadata = 33;
-  OpSharding sharding = 40;
-
-  oneof op {
-    BinaryOpRequest binary_op_request = 2;
-    BroadcastRequest broadcast_request = 3;
-    CallRequest call_request = 4;
-    ConcatenateRequest concatenate_request = 5;
-    ConstantRequest constant_request = 6;
-    ConvertRequest convert_request = 7;
-    ConvolveRequest convolve_request = 8;
-    CrossReplicaSumRequest cross_replica_sum_request = 9;
-    CustomCallRequest custom_call_request = 10;
-    DotRequest dot_request = 43;
-    DynamicSliceRequest dynamic_slice_request = 11;
-    DynamicUpdateSliceRequest dynamic_update_slice_request = 12;
-    GetTupleElementRequest get_tuple_element_request = 13;
-    InfeedRequest infeed_request = 14;
-    MapRequest map_request = 15;
-    PadRequest pad_request = 16;
-    ParameterRequest parameter_request = 17;
-    ReducePrecisionRequest reduce_precision_request = 36;
-    ReduceRequest reduce_request = 18;
-    ReduceWindowRequest reduce_window_request = 19;
-    ReshapeRequest reshape_request = 20;
-    ReverseRequest reverse_request = 21;
-    RngRequest rng_request = 22;
-    SelectAndScatterRequest select_and_scatter_request = 23;
-    SliceRequest slice_request = 24;
-    TernaryOpRequest ternary_op_request = 25;
-    TraceRequest trace_request = 26;
-    TransposeRequest transpose_request = 34;
-    UnaryOpRequest unary_op_request = 27;
-    VariadicOpRequest variadic_op_request = 28;
-    WhileRequest while_request = 29;
-    SendRequest send_request = 30;
-    RecvRequest recv_request = 31;
-    OutfeedRequest outfeed_request = 32;
-    BatchNormTrainingRequest batch_norm_training_request = 35;
-    BatchNormGradRequest batch_norm_grad_request = 37;
-    BatchNormInferenceRequest batch_norm_inference_request = 38;
-    FftRequest fft_request = 41;
-    ConvertRequest bitcast_convert_request = 42;
-    ConditionalRequest conditional_request = 44;
-    HostComputeRequest host_compute_request = 45;
-    GatherRequest gather_request = 46;
-    // Next: 47
-  }
-}
-
-message OpResponse {
-  ComputationDataHandle output = 1;
-}