interfaccia pubblica GraphOptionsOrBuilder
| Sottoclassi indirette conosciute |
Metodi pubblici
| astratto lungo | getBuildCostModel () The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph. |
| astratto lungo | getBuildCostModelAfter () The number of steps to skip before collecting statistics for the cost model. |
| booleano astratto | getEnableBfloat16Sendrecv () If true, transfer float values between processes as bfloat16. |
| booleano astratto | getEnableRecvScheduling () If true, use control flow to schedule the activation of Recv nodes. |
| booleano astratto | getInferShapes () Annotate each Node with Op output shape data, to the extent it can be statically inferred. |
| opzioni ottimizzatrici astratte | getOptimizerOptions () Options controlling how graph is optimized. |
| abstract OptimizerOptionsOrBuilder | getOptimizerOptionsOrBuilder () Options controlling how graph is optimized. |
| booleano astratto | getPlacePrunedGraph () Only place the subgraphs that are run, rather than the entire graph. |
| estratto RewriterConfig | getRewriteOptions () Options that control the type and amount of graph rewriting. |
| abstract RewriterConfigOrBuilder | getRewriteOptionsOrBuilder () Options that control the type and amount of graph rewriting. |
| astratto int | getTimelineStep () If > 0, record a timeline every this many steps. |
| booleano astratto | hasOptimizerOptions () Options controlling how graph is optimized. |
| booleano astratto | hasRewriteOptions () Options that control the type and amount of graph rewriting. |
Metodi pubblici
public abstract lungo getBuildCostModel ()
The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph. 0 means no cost model.
int64 build_cost_model = 4; public abstract lungo getBuildCostModelAfter ()
The number of steps to skip before collecting statistics for the cost model.
int64 build_cost_model_after = 9; pubblico astratto booleano getEnableBfloat16Sendrecv ()
If true, transfer float values between processes as bfloat16.
bool enable_bfloat16_sendrecv = 7; pubblico astratto booleano getEnableRecvScheduling ()
If true, use control flow to schedule the activation of Recv nodes. (Currently ignored.)
bool enable_recv_scheduling = 2; pubblico astratto booleano getInferShapes ()
Annotate each Node with Op output shape data, to the extent it can be statically inferred.
bool infer_shapes = 5; estratto pubblico OptimizerOptions getOptimizerOptions ()
Options controlling how graph is optimized.
.tensorflow.OptimizerOptions optimizer_options = 3; public abstract OptimizerOptionsOrBuilder getOptimizerOptionsOrBuilder ()
Options controlling how graph is optimized.
.tensorflow.OptimizerOptions optimizer_options = 3; pubblico astratto booleano getPlacePrunedGraph ()
Only place the subgraphs that are run, rather than the entire graph. This is useful for interactive graph building, where one might produce graphs that cannot be placed during the debugging process. In particular, it allows the client to continue work in a session after adding a node to a graph whose placement constraints are unsatisfiable.
bool place_pruned_graph = 6; estratto pubblico RewriterConfig getRewriteOptions ()
Options that control the type and amount of graph rewriting. Not currently configurable via the public Python API (i.e. there is no API stability guarantee if you import RewriterConfig explicitly).
.tensorflow.RewriterConfig rewrite_options = 10; estratto pubblico RewriterConfigOrBuilder getRewriteOptionsOrBuilder ()
Options that control the type and amount of graph rewriting. Not currently configurable via the public Python API (i.e. there is no API stability guarantee if you import RewriterConfig explicitly).
.tensorflow.RewriterConfig rewrite_options = 10; public abstract int getTimelineStep ()
If > 0, record a timeline every this many steps. EXPERIMENTAL: This currently has no effect in MasterSession.
int32 timeline_step = 8; hasOptimizerOptions booleano astratto pubblico ()
Options controlling how graph is optimized.
.tensorflow.OptimizerOptions optimizer_options = 3; public abstract booleano hasRewriteOptions ()
Options that control the type and amount of graph rewriting. Not currently configurable via the public Python API (i.e. there is no API stability guarantee if you import RewriterConfig explicitly).
.tensorflow.RewriterConfig rewrite_options = 10;