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