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lib/AI/TensorFlow/Libtensorflow/Manual/CAPI.pod  view on Meta::CPAN

  Starts an in-process TensorFlow server.

=back

  /* From <tensorflow/c/c_api.h> */
  TF_CAPI_EXPORT extern void TF_ServerStart(TF_Server* server, TF_Status* status);

=head2 TF_ServerStop

=over 2

  Stops an in-process TensorFlow server.

=back

  /* From <tensorflow/c/c_api.h> */
  TF_CAPI_EXPORT extern void TF_ServerStop(TF_Server* server, TF_Status* status);

=head2 TF_ServerJoin

=over 2

  Blocks until the server has been successfully stopped (via TF_ServerStop or
  TF_ServerClose).

=back

  /* From <tensorflow/c/c_api.h> */
  TF_CAPI_EXPORT extern void TF_ServerJoin(TF_Server* server, TF_Status* status);

=head2 TF_ServerTarget

=over 2

  Returns the target string that can be provided to TF_SetTarget() to connect
  a TF_Session to `server`.
  
  The returned string is valid only until TF_DeleteServer is invoked.

=back

  /* From <tensorflow/c/c_api.h> */
  TF_CAPI_EXPORT extern const char* TF_ServerTarget(TF_Server* server);

=head2 TF_DeleteServer

=over 2

  Destroy an in-process TensorFlow server, frees memory. If server is running
  it will be stopped and joined.

=back

  /* From <tensorflow/c/c_api.h> */
  TF_CAPI_EXPORT extern void TF_DeleteServer(TF_Server* server);

=head2 TF_RegisterLogListener

=over 2

  Register a listener method that processes printed messages.
  
  If any listeners are registered, the print operator will call all listeners
  with the printed messages and immediately return without writing to the
  logs.

=back

  /* From <tensorflow/c/c_api.h> */
  TF_CAPI_EXPORT extern void TF_RegisterLogListener(
      void (*listener)(const char*));

=head2 TF_RegisterFilesystemPlugin

=over 2

  Register a FileSystem plugin from filename `plugin_filename`.
  
  On success, place OK in status.
  On failure, place an error status in status.

=back

  /* From <tensorflow/c/c_api.h> */
  TF_CAPI_EXPORT extern void TF_RegisterFilesystemPlugin(
      const char* plugin_filename, TF_Status* status);

=head2 TF_NewShape

=over 2

  Return a new, unknown rank shape object. The caller is responsible for
  calling TF_DeleteShape to deallocate and destroy the returned shape.

=back

  /* From <tensorflow/c/tf_shape.h> */
  TF_CAPI_EXPORT extern TF_Shape* TF_NewShape();

=head2 TF_ShapeDims

=over 2

  Returns the rank of `shape`. If `shape` has unknown rank, returns -1.

=back

  /* From <tensorflow/c/tf_shape.h> */
  TF_CAPI_EXPORT extern int TF_ShapeDims(const TF_Shape* shape);

=head2 TF_ShapeDimSize

=over 2

  Returns the `d`th dimension of `shape`. If `shape` has unknown rank,
  invoking this function is undefined behavior. Returns -1 if dimension is
  unknown.

=back

  /* From <tensorflow/c/tf_shape.h> */
  TF_CAPI_EXPORT extern int64_t TF_ShapeDimSize(const TF_Shape* shape, int d);

=head2 TF_DeleteShape

lib/AI/TensorFlow/Libtensorflow/Manual/CAPI.pod  view on Meta::CPAN

=over 2

  Adds an output to this TF_OpDefinitionBuilder.
  The spec has form "<name>:<type-expr>" or "<name>:Ref(<type-expr>)"
  where <name> matches regexp [a-z][a-z0-9_]* and <type-expr> can be:
  * For a single tensor: <type>
  * For a sequence of tensors with the same type: <number>*<type>
  * For a sequence of tensors with different types: <type-list>
  Where:
    <type> is either one of "float", "int32", "string", ...
           or the name of an attr (see TF_OpDefinitionBuilderAddAttr)
           with type "type".
    <number> is the name of an attr with type "int".
    <type-list> is the name of an attr with type "list(type)".

=back

  /* From <tensorflow/c/ops.h> */
  TF_CAPI_EXPORT extern void TF_OpDefinitionBuilderAddOutput(
      TF_OpDefinitionBuilder* builder, const char* output_spec);

=head2 TF_OpDefinitionBuilderSetIsCommutative

=over 2

  Sets the commutative property for the op built by the given builder.

=back

  /* From <tensorflow/c/ops.h> */
  TF_CAPI_EXPORT extern void TF_OpDefinitionBuilderSetIsCommutative(
      TF_OpDefinitionBuilder* builder, bool is_commutative);

=head2 TF_OpDefinitionBuilderSetIsAggregate

=over 2

  Sets the is_aggregate property of the builder to the given value.
  
  If is_aggregate is true, then the operation produced by this builder accepts
  N >= 2 inputs and produces 1 output all of the same type. Should be
  associative and commutative, and produce output with the same shape as the
  input. The optimizer may replace an aggregate op taking input from multiple
  devices with a tree of aggregate ops that aggregate locally within each
  device (and possibly within groups of nearby devices) before communicating.

=back

  /* From <tensorflow/c/ops.h> */
  TF_CAPI_EXPORT extern void TF_OpDefinitionBuilderSetIsAggregate(
      TF_OpDefinitionBuilder* builder, bool is_aggregate);

=head2 TF_OpDefinitionBuilderSetIsStateful

=over 2

  Sets the is_stateful property of the builder to the given value.
  
  The op built by this builder is stateful if its behavior depends on some
  state beyond its input tensors (e.g. variable reading op) or if it has a
  side-effect (e.g. printing or asserting ops). Equivalently, stateless ops
  must always produce the same output for the same input and have no
  side-effects.
  
  By default Ops may be moved between devices. Stateful ops should either not
  be moved, or should only be moved if that state can also be moved (e.g. via
  some sort of save / restore). Stateful ops are guaranteed to never be
  optimized away by Common Subexpression Elimination (CSE).

=back

  /* From <tensorflow/c/ops.h> */
  TF_CAPI_EXPORT extern void TF_OpDefinitionBuilderSetIsStateful(
      TF_OpDefinitionBuilder* builder, bool is_stateful);

=head2 TF_OpDefinitionBuilderSetAllowsUninitializedInput

=over 2

  Sets the allows_uninitialized_input property of the operation built by this
  builder.
  
  By default, all inputs to an Op must be initialized Tensors. Ops that may
  initialize tensors for the first time should set this field to true, to allow
  the Op to take an uninitialized Tensor as input.

=back

  /* From <tensorflow/c/ops.h> */
  TF_CAPI_EXPORT extern void TF_OpDefinitionBuilderSetAllowsUninitializedInput(
      TF_OpDefinitionBuilder* builder, bool allows_uninitialized_input);

=head2 TF_OpDefinitionBuilderDeprecated

=over 2

  Adds a deprecation warning for the given op. This indicates to the user that
  `version` is the first TensorFlow GraphDef version for which the operation is
  deprecated. `explanation` should contain the reason for the deprecation and
  what to use instead.
  
  This function is only an indicator that the operation may disappear in a
  version of TensorFlow after `version`. It does not affect op registration.

=back

  /* From <tensorflow/c/ops.h> */
  TF_CAPI_EXPORT extern void TF_OpDefinitionBuilderDeprecated(
      TF_OpDefinitionBuilder* builder, int version, const char* explanation);

=head2 TF_OpDefinitionBuilderSetShapeInferenceFunction

=over 2

  Sets the shape inference function for the op.

=back

  /* From <tensorflow/c/ops.h> */
  TF_CAPI_EXPORT extern void TF_OpDefinitionBuilderSetShapeInferenceFunction(
      TF_OpDefinitionBuilder* builder,