interfejs publiczny GraphOptionsOrBuilder
| Znane podklasy pośrednie |
Metody publiczne
| abstrakcyjne, długie | getBuildCostModel () The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph. |
| abstrakcyjne, długie | getBuildCostModelAfter () The number of steps to skip before collecting statistics for the cost model. |
| abstrakcyjna wartość logiczna | getEnableBfloat16Sendrecv () If true, transfer float values between processes as bfloat16. |
| abstrakcyjna wartość logiczna | getEnableRecvScheduling () If true, use control flow to schedule the activation of Recv nodes. |
| abstrakcyjna wartość logiczna | pobierzInferShapes () Annotate each Node with Op output shape data, to the extent it can be statically inferred. |
| abstrakcyjne opcje optymalizatora | getOptimizerOptions () Options controlling how graph is optimized. |
| streszczenie OptimizerOptionsOrBuilder | getOptimizerOptionsOrBuilder () Options controlling how graph is optimized. |
| abstrakcyjna wartość logiczna | getPlacePrunedGraph () Only place the subgraphs that are run, rather than the entire graph. |
| streszczenie RewriterConfig | getRewriteOptions () Options that control the type and amount of graph rewriting. |
| streszczenie RewriterConfigOrBuilder | getRewriteOptionsOrBuilder () Options that control the type and amount of graph rewriting. |
| streszczenie wew | getTimelineStep () If > 0, record a timeline every this many steps. |
| abstrakcyjna wartość logiczna | maOpcje Optymalizatora () Options controlling how graph is optimized. |
| abstrakcyjna wartość logiczna | maOpcje przepisywania () Options that control the type and amount of graph rewriting. |
Metody publiczne
publiczny streszczenie długi 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; publiczne streszczenie długie getBuildCostModelAfter ()
The number of steps to skip before collecting statistics for the cost model.
int64 build_cost_model_after = 9; publiczna wartość logiczna abstrakcyjna getEnableBfloat16Sendrecv ()
If true, transfer float values between processes as bfloat16.
bool enable_bfloat16_sendrecv = 7; publiczna wartość logiczna abstrakcyjna getEnableRecvScheduling ()
If true, use control flow to schedule the activation of Recv nodes. (Currently ignored.)
bool enable_recv_scheduling = 2; publiczna wartość logiczna abstrakcyjna getInferShapes ()
Annotate each Node with Op output shape data, to the extent it can be statically inferred.
bool infer_shapes = 5; publiczne streszczenie OptimizerOptions getOptimizerOptions ()
Options controlling how graph is optimized.
.tensorflow.OptimizerOptions optimizer_options = 3; publiczny streszczenie OptimizerOptionsOrBuilder getOptimizerOptionsOrBuilder ()
Options controlling how graph is optimized.
.tensorflow.OptimizerOptions optimizer_options = 3; publiczna abstrakcja logiczna 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; publiczne streszczenie 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; publiczne streszczenie 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; publiczne streszczenie int getTimelineStep ()
If > 0, record a timeline every this many steps. EXPERIMENTAL: This currently has no effect in MasterSession.
int32 timeline_step = 8; publiczna wartość logiczna abstrakcyjna hasOptimizerOptions ()
Options controlling how graph is optimized.
.tensorflow.OptimizerOptions optimizer_options = 3; publiczna wartość logiczna abstrakcyjna maRewriteOptions ()
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;