공용 인터페이스 GraphOptionsOrBuilder
| 알려진 간접 하위 클래스 |
공개 방법
| 추상적인 긴 | getBuildCostModel () The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph. |
| 추상적인 긴 | getBuildCostModelAfter () The number of steps to skip before collecting statistics for the cost model. |
| 추상 부울 | getEnableBfloat16Sendrecv () If true, transfer float values between processes as bfloat16. |
| 추상 부울 | getEnableRecvScheduling () If true, use control flow to schedule the activation of Recv nodes. |
| 추상 부울 | getInferShapes () Annotate each Node with Op output shape data, to the extent it can be statically inferred. |
| 추상 최적화 옵션 | getOptimizerOptions () Options controlling how graph is optimized. |
| 추상 OptimizerOptionsOrBuilder | getOptimizerOptionsOrBuilder () Options controlling how graph is optimized. |
| 추상 부울 | getPlacePrunedGraph () Only place the subgraphs that are run, rather than the entire graph. |
| 추상 RewriterConfig | getRewriteOptions () Options that control the type and amount of graph rewriting. |
| 추상 RewriterConfigOrBuilder | getRewriteOptionsOrBuilder () Options that control the type and amount of graph rewriting. |
| 추상 정수 | getTimelineStep () If > 0, record a timeline every this many steps. |
| 추상 부울 | hasOptimizerOptions () Options controlling how graph is optimized. |
| 추상 부울 | hasRewriteOptions () Options that control the type and amount of graph rewriting. |
공개 방법
공개 추상 긴 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; 공개 추상 긴 getBuildCostModelAfter ()
The number of steps to skip before collecting statistics for the cost model.
int64 build_cost_model_after = 9; 공개 추상 부울 getEnableBfloat16Sendrecv ()
If true, transfer float values between processes as bfloat16.
bool enable_bfloat16_sendrecv = 7; 공개 추상 부울 getEnableRecvScheduling ()
If true, use control flow to schedule the activation of Recv nodes. (Currently ignored.)
bool enable_recv_scheduling = 2; 공개 추상 부울 getInferShapes ()
Annotate each Node with Op output shape data, to the extent it can be statically inferred.
bool infer_shapes = 5; 공개 추상 OptimizerOptions getOptimizerOptions ()
Options controlling how graph is optimized.
.tensorflow.OptimizerOptions optimizer_options = 3; 공개 추상 OptimizerOptionsOrBuilder getOptimizerOptionsOrBuilder ()
Options controlling how graph is optimized.
.tensorflow.OptimizerOptions optimizer_options = 3; 공개 추상 부울 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; 공개 추상 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; 공개 추상 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; 공개 추상 int getTimelineStep ()
If > 0, record a timeline every this many steps. EXPERIMENTAL: This currently has no effect in MasterSession.
int32 timeline_step = 8; 공개 추상 부울 hasOptimizerOptions ()
Options controlling how graph is optimized.
.tensorflow.OptimizerOptions optimizer_options = 3; 공개 추상 부울 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;