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