antarmuka publik GraphOptionsOrBuilder
| Subkelas Tidak Langsung yang Diketahui |
Metode Publik
| abstrak panjang | dapatkanBuildCostModel () The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph. |
| abstrak panjang | dapatkanBuildCostModelAfter () The number of steps to skip before collecting statistics for the cost model. |
| boolean abstrak | getEnableBfloat16Sendrecv () If true, transfer float values between processes as bfloat16. |
| boolean abstrak | getEnableRecvScheduling () If true, use control flow to schedule the activation of Recv nodes. |
| boolean abstrak | dapatkan InferShapes () Annotate each Node with Op output shape data, to the extent it can be statically inferred. |
| Opsi Pengoptimal abstrak | dapatkan Opsi Pengoptimal () Options controlling how graph is optimized. |
| abstrak OptimizerOptionsOrBuilder | dapatkanOptimizerOptionsOrBuilder () Options controlling how graph is optimized. |
| boolean abstrak | dapatkanPlacePrunedGraph () Only place the subgraphs that are run, rather than the entire graph. |
| abstrak RewriterConfig | dapatkan Opsi Penulisan Ulang () Options that control the type and amount of graph rewriting. |
| abstrak RewriterConfigOrBuilder | dapatkanRewriteOptionsOrBuilder () Options that control the type and amount of graph rewriting. |
| abstrak ke dalam | dapatkan TimelineStep () If > 0, record a timeline every this many steps. |
| boolean abstrak | hasOptimizerOptions () Options controlling how graph is optimized. |
| boolean abstrak | hasRewriteOptions () Options that control the type and amount of graph rewriting. |
Metode Publik
abstrak publik getBuildCostModel panjang ()
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; abstrak publik getBuildCostModelAfter ()
The number of steps to skip before collecting statistics for the cost model.
int64 build_cost_model_after = 9; boolean abstrak publik getEnableBfloat16Sendrecv ()
If true, transfer float values between processes as bfloat16.
bool enable_bfloat16_sendrecv = 7; boolean abstrak publik getEnableRecvScheduling ()
If true, use control flow to schedule the activation of Recv nodes. (Currently ignored.)
bool enable_recv_scheduling = 2; boolean abstrak publik getInferShapes ()
Annotate each Node with Op output shape data, to the extent it can be statically inferred.
bool infer_shapes = 5; Abstrak publik OptimizerOptions getOptimizerOptions ()
Options controlling how graph is optimized.
.tensorflow.OptimizerOptions optimizer_options = 3; abstrak publik OptimizerOptionsOrBuilder getOptimizerOptionsOrBuilder ()
Options controlling how graph is optimized.
.tensorflow.OptimizerOptions optimizer_options = 3; boolean abstrak publik 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; abstrak publik 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; abstrak publik 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; abstrak publik int getTimelineStep ()
If > 0, record a timeline every this many steps. EXPERIMENTAL: This currently has no effect in MasterSession.
int32 timeline_step = 8; boolean abstrak publik hasOptimizerOptions ()
Options controlling how graph is optimized.
.tensorflow.OptimizerOptions optimizer_options = 3; boolean abstrak publik 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;