package xla

Get desktop application:
View/edit binary Protocol Buffers messages

Used in: OpRequest

• BinaryOperation binop = 2

• optional ComputationDataHandle lhs = 3

• optional ComputationDataHandle rhs = 4

• repeated int64 broadcast_dimensions = 5

Used in: BinaryOpRequest

• BINOP_INVALID = 0

• BINOP_ADD = 1

  Arithmetic operations.

• BINOP_DIV = 2

• BINOP_MUL = 3

• BINOP_SUB = 4

• BINOP_EQ = 5

  Comparison operators.

• BINOP_GE = 6

• BINOP_GT = 7

• BINOP_LE = 8

• BINOP_LT = 9

• BINOP_NE = 10

• BINOP_DOT = 12

  Dot product, matrix multiply.

• BINOP_INDEX = 13

  Indexes into the LHS with the RHS. If the RHS is higher-rank, this is a gather operation. Note: currently out of bounds indices may crash the underlying XLA machine.

• BINOP_MAX = 14

  Element-wise maximum.

• BINOP_MIN = 15

  Element-wise minimum.

• BINOP_POW = 16

  Raises the left-hand-side to the right-hand-side power.

• BINOP_REM = 17

  Remainder operation.

• BINOP_LOGICAL_AND = 18

  Logical operators

• BINOP_LOGICAL_OR = 19

Used in: OpRequest

• optional ComputationDataHandle operand = 2

• repeated int64 broadcast_sizes = 3

Used in: OpRequest

• optional ComputationHandle to_apply = 2

• repeated ComputationDataHandle operands = 3

Handle given to a user to represent a channel between two computations via a Send and Recv instruction pair. Channels are unbuffered, so Send Send instructions will be blocked until the data is transferred.

Used in: CreateChannelHandleResponse, RecvRequest, SendRequest

• 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.

Used in: BinaryOpRequest, BroadcastRequest, CallRequest, ComputeConstantRequest, ConcatenateRequest, ConvertRequest, ConvolveRequest, CrossReplicaSumRequest, CustomCallRequest, DynamicSliceRequest, DynamicUpdateSliceRequest, GetLocalShapeRequest, GetTupleElementRequest, IsConstantRequest, MapRequest, OpResponse, OperationRequest, PadRequest, ReduceRequest, ReduceWindowRequest, ReshapeRequest, ReverseRequest, RngRequest, SelectAndScatterRequest, SendRequest, SetReturnValueRequest, SliceRequest, TernaryOpRequest, TraceRequest, UnaryOpRequest, VariadicOpRequest, WhileRequest

• int64 handle = 1

Handle given to a user that represents a computation that the user builds up before execution.

Used in: CallRequest, ComputationResponse, ComputationStatsRequest, ComputeConstantRequest, ExecuteAsyncRequest, ExecuteRequest, GetComputationShapeRequest, GetLocalShapeRequest, IsConstantRequest, LoadComputationSnapshotResponse, MapRequest, OpRequest, ReduceRequest, ReduceWindowRequest, SelectAndScatterRequest, SessionComputation, SetReturnValueRequest, SnapshotComputationRequest, SpecializeRequest, WhileRequest

• int64 handle = 1

• string name = 1

• optional ComputationHandle computation = 1

Statistics of a computation.

Used in: ComputationStatsResponse

• double flop_count = 1

  The number of floating point operations in the computation.

• double transcendental_count = 2

  The number of transcendental operations (e.g., exp) in the computation.

• optional ComputationHandle computation = 1

• optional ComputationStats stats = 1

• optional ComputationHandle computation = 1

• optional ComputationDataHandle operand = 2

• optional Layout output_layout = 3

• optional GlobalDataHandle output = 1

Used in: OpRequest

• repeated ComputationDataHandle operands = 2

• int64 dimension = 3

  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).

Used in: OpRequest

• optional Literal literal = 2

Used in: OpRequest

• optional ComputationDataHandle operand = 2

• PrimitiveType new_element_type = 3

Used in: ConvolveRequest

• int64 batch_dimension = 1

  The number of the dimension that represents batch in the input (lhs) and output.

• int64 feature_dimension = 2

  The number of the dimension that represents features in the input (lhs) and output.

• repeated int64 spatial_dimensions = 5

  The dimension numbers for the spatial dimensions that the window moves through in the input (lhs) and output.

• int64 kernel_input_feature_dimension = 3

  The number of the dimension that represents input features in the convolutional kernel (rhs).

• int64 kernel_output_feature_dimension = 4

  The number of the dimension that represents output features in the convolutional kernel (rhs).

• repeated int64 kernel_spatial_dimensions = 6

  The dimension numbers for the spatial dimensions that the window moves through in the kernel (rhs). window.strides(0) is the stride in the kernel_spatial_dimensions(0) dimension.

Used in: OpRequest

• optional ComputationDataHandle lhs = 2

• optional ComputationDataHandle rhs = 3

  This is the filter/kernel.

• optional Window window = 4

  Describes the filter/kenel.

• optional ConvolutionDimensionNumbers dimension_numbers = 5

(message has no fields)

• optional ChannelHandle channel = 1

Used in: OpRequest

• optional ComputationDataHandle operand = 2

Used in: OpRequest

• string call_target_name = 2

• repeated ComputationDataHandle operands = 3

• optional Shape shape = 4

• optional GlobalDataHandle tuple_handle = 2

• repeated GlobalDataHandle element_handles = 1

Handle given to a user that represents a device to execute a computation. When replication is enabled, the device handle represents the device for the replica id 0.

Used in: ExecuteRequest, GetDeviceHandlesResponse, ResetDeviceRequest, TransferToInfeedRequest, TransferToServerRequest

• int64 handle = 1

Used in: OpRequest

• optional ComputationDataHandle operand = 2

  Operand from which to slice at dynamic 'start_indices'.

• optional ComputationDataHandle start_indices = 3

  Dynamically computed 'start_indices' for slice operation.

• repeated int64 slice_sizes = 4

  Slice sizes for each dimension (note that indices calculations are computed modulo dimension sizes to avoid out-of-bound array accesses).

Used in: OpRequest

• optional ComputationDataHandle operand = 2

  Operand on which slice 'update' is to be applied.

• optional ComputationDataHandle update = 3

  The slice update to apply to 'operand'.

• optional ComputationDataHandle start_indices = 4

  Dynamically computed start indices for the update slice operation.

• optional ComputationHandle computation = 1

• repeated GlobalDataHandle arguments = 2

• optional Shape shape_with_output_layout = 3

  This optional field is a hint to the service to store the result of the computation with a particular layout. Subsequent transfers of the array to the client may be faster using this layout. A shape is used to hold the layout to accomodate computations which have tuple output.

• uint64 seed = 4

  This optional field specifies the graph-level seed (go/tla-rng). This value could be populated with a host-side generated random number to add some additional entropy to the device. TODO(b/32083678): This forces a recompilation.

• optional ExecutionHandle execution = 1

  A handle to the execution launched asynchronously.

• repeated ExecuteRequest requests = 1

• repeated ExecuteResponse responses = 1

Used in: ExecuteParallelRequest

• optional ComputationHandle computation = 1

• repeated GlobalDataHandle arguments = 2

• optional Shape shape_with_output_layout = 3

  This optional field is a hint to the service to store the result of the computation with a particular layout. Subsequent transfers of the array to the client may be faster using this layout. A shape is used to hold the layout to accomodate computations which have tuple output.

• uint64 seed = 4

  This optional field specifies the graph-level seed. This value could be populated with a host-side generated random number to add some additional entropy to the device. A seed of 0 represents no seed set. TODO(b/32083678): This forces a recompilation.

• optional DeviceHandle device_handle = 5

  This optional field specifies a particular device to run the computation. If not provided, the default device will be chosen.

Used in: ExecuteParallelResponse

• optional GlobalDataHandle output = 1

• optional ExecutionProfile profile = 2

Handle given to a user that represents an execution that the user launched asynchronously on the device.

Used in: ExecuteAsyncResponse, WaitForExecutionRequest

• int64 handle = 1

Profile data from the execution of a computation.

Used in: ExecuteResponse, WaitForExecutionResponse

• bool compilation_cache_hit = 1

  Whether the executable was read from the compilation cache.

• int64 compile_time_ms = 2

  The time in milliseconds spent to compile the computation. This only set if the executable was not read from the compilation cache (compilation_cache_hit == false).

• int64 compute_cycle_count = 3

  The number of cycles spent for the computation. This does not include the time taken for the data transfers between the host and the device. This is a target-dependent field and only used for debugging purposes.

• int64 compute_time_ns = 4

  The time in nanoseconds spent for the computation, without data transfer.

• int64 compute_and_transfer_time_ns = 5

  The time in nanoseconds spent for the entire computation, including the result data transfer time. Current implementation does not spend any cycles for the input data transfer since the memory is initialized with the proper values before the execution.

• optional ComputationHandle computation = 1

• optional ProgramShape program_shape = 1

• int64 device_count = 1

• repeated DeviceHandle device_handles = 1

• optional ComputationHandle computation = 1

• optional ComputationDataHandle operand = 2

• optional Shape shape = 1

• optional GlobalDataHandle data = 1

• optional Shape shape = 1

Used in: OpRequest

• optional ComputationDataHandle operand = 2

• int64 index = 3

Handle given to a user that represents a globally accessible allocation. Contrast this against a ComputationDataHandle, which is not globally accessible, since it only exists within a specific computation.

Used in: ComputeConstantResponse, DeconstructTupleRequest, DeconstructTupleResponse, ExecuteAsyncRequest, ExecuteRequest, ExecuteResponse, GetShapeRequest, LoadDataResponse, SpecializeRequest, TransferToClientInProcessRequest, TransferToClientRequest, TransferToServerInProcessResponse, TransferToServerResponse, UnpackRequest, UnpackResponse, UnregisterRequest, WaitForExecutionResponse

• int64 handle = 1

Used in: OpRequest

• optional Shape shape = 2

  The shape of the data returned by reading the device's infeed buffer.

• optional ComputationHandle computation = 1

• optional ComputationDataHandle operand = 2

• bool is_constant = 1

A layout describes how the array is placed in (1D) memory space. This includes the minor-to-major ordering of dimensions within a shape, as well as any padding present in those dimensions. Clients must specify the layouts of input Literals to the computation. Layouts specified in interior operations which take Shapes (for example, Convert) are ignored. See the XLA documentation for more information on shapes and layouts.

Used in: ComputeConstantRequest, Shape

• repeated int64 minor_to_major = 1

  Sequence of dimension numbers, from minor (fastest varying index) to major (slowest varying index). This field is required.

• repeated int64 padded_dimensions = 2

  The width to which the layout of each dimension is padded up to. If present, the size of the padded_dimensions must equal the rank of the shape. The padding appears at the end of a dimension, not at the beginning. This kind of padding, unlike padding in e.g. convolution, is not part of the shape.

• PaddingValue padding_value = 3

  Describes the values in the padding specified by padded_dimensions.

Literals are used when the server and client need to exchange materialized data / results. Literals are also used to describe constants used in computations. Transfers to/from the client are encoded in literal form, and the structure of the repeated fields is implied by the shape.

Used in: ConstantRequest, SessionModule, TransferToClientResponse, TransferToInfeedRequest, TransferToServerRequest

• optional Shape shape = 1

• repeated bool preds = 2

• bytes u8s = 3

• repeated int32 s32s = 4

• repeated int64 s64s = 5

• repeated uint32 u32s = 6

• repeated uint64 u64s = 7

• repeated float f32s = 8

• repeated double f64s = 9

• repeated Literal tuple_literals = 10

• optional SessionModule module = 1

• optional ComputationHandle computation = 1

• string columnio_tablet_path = 1

  Describes the path of the ColumnIO tablet to load.

• string columnio_field = 2

  Describes the field to load within the ColumnIO tablet.

• optional Shape element_shape = 3

  Individual element shape, excluding rows.

• int64 offset = 4

  Warning: ColumnIO does not support random-access, so use offset with caution in performance-critical scenarios.

• int64 limit = 5

  Maximum number of elements (with shape element_shape) to load.

• bool zip = 6

  If more than one item is requested (via limit > 1), then this request attribute zips together the produced vectors.

• optional GlobalDataHandle data = 1

• optional Shape data_shape = 2

• int64 available_rows = 3

• int64 rows_loaded = 4

• int64 nanoseconds = 5

Used in: OpRequest

• repeated ComputationDataHandle operands = 2

• optional ComputationHandle to_apply = 3

• repeated ComputationDataHandle static_operands = 4

Used in: OperationRequest

• optional ComputationHandle computation = 1

• 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

  • 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

  • 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

  • UnaryOpRequest unary_op_request = 27

  • VariadicOpRequest variadic_op_request = 28

  • WhileRequest while_request = 29

  • SendRequest send_request = 30

  • RecvRequest recv_request = 31

    Next: 32

• optional ComputationDataHandle output = 1

Describes a single operation request.

Used in: SessionComputation

• optional ComputationDataHandle output_handle = 1

• optional Shape output_shape = 2

• repeated int64 embedded_computation_versions = 3

  For operations which call embedded computations such as "Map", these are the version(s) that the embedded computation should be called at. A version value of a computation is the ComputationDataHandle of the root of the computation at the point in time. "Call", "Map", "Reduce", and "ReduceWindow" operations take a single embedded computation so this field will have a single value for those operations. "While" operation takes two; index 0 is the "condition" version and index 1 is the "body" version.

• optional OpRequest request = 4

  The actual request, which in itself is a tagged union of all possible operation request types.

Used in: OpRequest

• optional ComputationDataHandle operand = 2

• optional ComputationDataHandle padding_value = 3

• optional PaddingConfig padding_config = 4

Describes the padding configuration for Pad operation. The padding amount on both edges as well as between the elements are specified for each dimension.

Used in: PadRequest

• repeated PaddingConfig.PaddingConfigDimension dimensions = 1

  The padding configuration for all dimensions.

Describes the padding configuration for a dimension.

Used in: PaddingConfig

• int64 edge_padding_low = 1

  Padding amount on the low-end (next to the index 0).

• int64 edge_padding_high = 2

  Padding amount on the high-end (next to the highest index).

• int64 interior_padding = 3

  Padding amount between the elements.

Describes the value held inside padding elements.

Used in: Layout

• INVALID_PAD = 0

• ZERO_PAD = 1

  Zero padding must be 0-values that correspond to the shape's element type.

• ONE_PAD = 2

  One padding must be 1-values that correspond to the shape's element type.

• LOWEST_PAD = 3

  "Lowest" padding must be the lowest values in the shape's element type, used as padding for operations like max-accumulation.

• HIGHEST_PAD = 4

  "Highest" padding must be the largest values in the shape's element type, used as padding for operations like min-accumulation.

• UNKNOWN_PAD = 5

  Unknown padding could be anything; e.g. floating NaNs!

Used in: OpRequest

• optional Shape shape = 2

• int64 parameter = 3

• string name = 4

Primitive types are the individual values that can be held in rectangular multidimensional arrays. A description of the rectangular multidimensional array dimensions / primitive type is given by Shape, below.

Used in: ConvertRequest, Shape

• PRIMITIVE_TYPE_INVALID = 0

  Invalid primitive type to serve as default.

• PRED = 1

  Predicates are two-state booleans.

• S8 = 2

  Signed integral values of fixed width.

• S16 = 3

• S32 = 4

• S64 = 5

• U8 = 6

  Unsigned integral values of fixed width.

• U16 = 7

• U32 = 8

• U64 = 9

• F16 = 10

  Floating-point values of fixed width. Note: if f16s are not natively supported on the device, they will be converted to f16 from f32 at arbirary points in the computation.

• F32 = 11

• F64 = 12

• TUPLE = 13

  A tuple is a polymorphic sequence; e.g. a shape that holds different sub-shapes. They are used for things like returning multiple values from a computation; e.g. a computation that returns weights and biases may have a signature that results in a tuple like (f32[784x2000], f32[2000]) Tuples are currently special in that they may only be rank 0.

• OPAQUE = 14

  An opaque type used for passing context specific data to a custom operation.

Shape of the parameters and output of a computation (like a traditional function signature).

Used in: GetComputationShapeResponse

• repeated Shape parameters = 1

• optional Shape result = 2

• repeated string parameter_names = 3

Used in: RngRequest

• RNG_INVALID = 0

• RNG_UNIFORM = 1

  Creates a uniform-distribution-generated random number on the interval [parameter[0], parameter[1]].

• RNG_NORMAL = 2

  Creates a normal-distribution-generated random number with mean parameter[0] and standard deviation parameter[1].

• RNG_BERNOULLI = 3

  Creates a Bernoulli-distribution-generated random number with mean parameter[0].

Used in: OpRequest

• optional Shape shape = 1

• optional ChannelHandle channel_handle = 2

Used in: OpRequest

• optional ComputationDataHandle operand = 2

  Operand to the reduction.

• optional ComputationDataHandle init_value = 3

  Initial value for the reduction. This must be consistent with the result shape of to_apply.

• repeated int64 dimensions = 4

  The dimensions to reduce over.

• optional ComputationHandle to_apply = 5

  The computation to apply in the reduction.

Used in: OpRequest

• optional ComputationDataHandle operand = 2

• optional ComputationDataHandle init_value = 3

• optional Window window = 4

• optional ComputationHandle to_apply = 5

• optional DeviceHandle device_handle = 1

(message has no fields)

Used in: OpRequest

• optional ComputationDataHandle operand = 2

• repeated int64 dimensions = 3

  The dimension order for collapse (from fastest-changing to slowest).

• repeated int64 new_sizes = 4

  The new dimension sizes (from dimension 0 to n-1).

Used in: OpRequest

• optional ComputationDataHandle operand = 2

• repeated int64 dimensions = 3

Used in: OpRequest

• RandomDistribution distribution = 2

• repeated ComputationDataHandle parameter = 3

• optional Shape shape = 4

Used in: OpRequest

• optional ComputationDataHandle operand = 2

  Operand array on which the windows slide.

• optional ComputationDataHandle source = 3

  Source array for the data to scatter.

• optional ComputationDataHandle init_value = 4

  Initial scalar value for each element in the output.

• optional Window window = 5

  Window configuration.

• optional ComputationHandle select = 6

  Binary function used to select an element from each window.

• optional ComputationHandle scatter = 7

  Binary function used to combine each scattered value from source with the current output value at the selected location.

Used in: OpRequest, SessionComputation

• optional ComputationDataHandle operand = 1

• optional ChannelHandle channel_handle = 2

Describes a sequence of operation requests which define an XLA computation.

Used in: SessionModule

• string name = 1

• optional ComputationHandle computation_handle = 2

  The ComputationHandle used to refer to this computation in the XLA service.

• map<int64, OperationRequest> requests = 3

  Map from ComputationDataHandle value to operation request. The highest ComputationDataHandle value corresponds to the root of the computation.

• repeated TraceRequest trace_requests = 4

  The list of Trace requests in this SessionComputation.

• repeated SendRequest send_requests = 5

  The list of Send requests in this SessionComputation.

Describes a group of SessionComputations with an "entry point" computation that may refer to the other non-entry (AKA embedded) computations. This message is used to serialize a computation that has been built via the XLA service API, along with its dependencies, for purposes such as analysis/replay/file-storage.

Used in: LoadComputationSnapshotRequest, SnapshotComputationResponse

• optional SessionComputation entry = 1

  The entry computation, which was requested for serialization. This may have referred to embedded computations, which are reflected below.

• repeated SessionComputation embedded_computations = 2

  Embedded computations that are transitively referred to by the entry computation.

• repeated Literal arguments = 3

  The arguments passed to the computation.

• optional Literal result = 4

  The result of the computation.

• string execution_platform = 5

  The name of the platform used to run the computation.

• optional ComputationHandle computation = 1

• optional ComputationDataHandle operand = 2

(message has no fields)

A shape describes the number of dimensions in the array, the size of each dimension, and the primitive component type. Tuples are a special case in that they have rank zero and have tuple_shapes defined. See the XLA documentation for more information on shapes and layouts.

Used in: CustomCallRequest, ExecuteAsyncRequest, ExecuteRequest, GetLocalShapeResponse, GetShapeResponse, InfeedRequest, Literal, LoadDataRequest, LoadDataResponse, OperationRequest, ParameterRequest, ProgramShape, RecvRequest, RngRequest, TransferToClientRequest, TransferToServerInProcessRequest

• PrimitiveType element_type = 2

  The element type for this shape.

• repeated int64 dimensions = 3

  The size (number of elements) for each dimension. In XLA, dimensions are numbered from 0 to N-1 for an N-dimensional array. The first element of 'dimensions' is the size of dimension 0, the second element is the size of dimension 1, and so forth. Empty list indicates a scalar.

• repeated Shape tuple_shapes = 4

  For tuples only, the shapes of constitutent shapes in the tuple sequence.

• optional Layout layout = 5

  The layout used to back this shape.

Used in: OpRequest

• optional ComputationDataHandle operand = 2

• repeated int64 start_indices = 3

• repeated int64 limit_indices = 4

• optional ComputationHandle computation = 1

• optional SessionModule module = 1

• optional ComputationHandle computation = 1

• repeated GlobalDataHandle arguments = 2

(message has no fields)

Used in: OpRequest

• TernaryOperation triop = 2

• optional ComputationDataHandle lhs = 3

• optional ComputationDataHandle rhs = 4

• optional ComputationDataHandle ehs = 5

Used in: TernaryOpRequest

• TRIOP_INVALID = 0

• TRIOP_SELECT = 1

  Given a predicate and two operands, selects operand0 if the predicate is true and operand1 if the predicate is false.

• TRIOP_UPDATE = 2

  Updates operand0 at index operand1 with value operand2 and outputs the updated value.

• TRIOP_CLAMP = 3

  Given a min, max and an operand returns the operand if between min and max, else returns min if operand is less than min or max if operand is greater than max.

Used in: OpRequest, SessionComputation

• string tag = 2

• optional ComputationDataHandle operand = 3

• optional GlobalDataHandle data = 1

• uint64 buffer = 2

(message has no fields)

• optional GlobalDataHandle data = 1

• optional Shape shape_with_layout = 2

  This optional field directs the service to return the literal in this layout. A shape is used to hold the layout to accomodate tuples.

• optional Literal literal = 1

• optional Literal literal = 1

• int64 replica_id = 2

• optional DeviceHandle device_handle = 3

(message has no fields)

• uint64 buffer = 1

• optional Shape shape = 2

• optional GlobalDataHandle data = 1

• optional Literal literal = 1

• optional DeviceHandle device_handle = 2

• optional GlobalDataHandle data = 1

Used in: OpRequest

• UnaryOperation unop = 2

• optional ComputationDataHandle operand = 3

Used in: UnaryOpRequest

• UNOP_INVALID = 0

• UNOP_LOGICAL_NOT = 1

  Elementwise, logical negation

• UNOP_EXP = 2

  Elementwise, computes e^x.

• UNOP_NEGATE = 3

  Elementwise, computes -x.

• UNOP_SORT = 4

  Puts the elements in the operand into sorted order.

• UNOP_TANH = 5

  Elementwise, computes tanh(x).

• UNOP_LOG = 6

  Elementwise, computes the natural logarithm of x.

• UNOP_FLOOR = 7

  Elementwise, computes the floor of x.

• UNOP_CEIL = 8

  Elementwise, computes the ceil of x.

• UNOP_ABS = 9

  Elementwise, computes the abs of x.

• UNOP_SIGN = 10

  Elementwise, computes the sign of x.

• optional GlobalDataHandle data = 1

• repeated GlobalDataHandle tied_data = 1

• optional GlobalDataHandle data = 1

(message has no fields)

Used in: OpRequest

• VariadicOperation varop = 2

• repeated ComputationDataHandle operands = 3

Used in: VariadicOpRequest

• VAROP_INVALID = 0

• VAROP_TUPLE = 1

  Creates a tuple from its operands.

• optional ExecutionHandle execution = 1

• optional GlobalDataHandle output = 1

• optional ExecutionProfile profile = 2

Used in: OpRequest

• optional ComputationHandle condition = 2

• optional ComputationHandle body = 3

• optional ComputationDataHandle init = 4

Describes the windowing in an operation such as convolution. The window is moved across a base area and for each position of the window a computation is performed. The field below describes the window and the movement of the window across a base area.

Used in: ConvolveRequest, ReduceWindowRequest, SelectAndScatterRequest

• repeated WindowDimension dimensions = 1

Used in: Window

• int64 size = 1

  The size of the window in this dimension. For a rectangle, this would be the width or height.

• int64 stride = 2

  The stride at which the window moves across the base area in this dimension. In other words, this is the spacing between different positions of the window in this dimension.

• int64 padding_low = 3

  If positive, means the amount of padding with zeroes to add to the base area at the low end of this dimension; if negative, its negative means the number of elements removed from the low end of this dimension. For example, in the horizontal dimension of a rectangle, this would be the number of zeroes to pad on the left, given that indices increase when going right.

• int64 padding_high = 4

  As padding_low, but on the high end of this dimension. For example, in the horizontal dimension of a rectangle, this would be the number of zeroes to pad on the right, given that indices increase when going right.

• int64 window_dilation = 5

  Dilation factor of the sliding window in this dimension. A dilation factor of 1 means no dilation. window_dilation - 1 no-op entries ("holes") are implicitly placed between each kernel element. See documentation for convolution.

• int64 base_dilation = 6

  Dilation factor of the base area in this dimension. A dilation factor of 1 means no dilation. base_dilation - 1 no-op entries ("holes") are implicitly placed between each base area element. See documentation for convolution.