interfaz pública GraphOptionsOrBuilder
| Subclases indirectas conocidas |
Métodos públicos
| resumen largo | getBuildCostModel () The number of steps to run before returning a cost model detailing the memory usage and performance of each node of the graph. |
| resumen largo | getBuildCostModelAfter () The number of steps to skip before collecting statistics for the cost model. |
| booleano abstracto | getEnableBfloat16Sendrecv () If true, transfer float values between processes as bfloat16. |
| booleano abstracto | getEnableRecvScheduling () If true, use control flow to schedule the activation of Recv nodes. |
| booleano abstracto | obtenerInferShapes () Annotate each Node with Op output shape data, to the extent it can be statically inferred. |
| Opciones de optimización abstractas | getOptimizerOptions () Options controlling how graph is optimized. |
| Resumen OptimizerOptionsOrBuilder | getOptimizerOptionsOrBuilder () Options controlling how graph is optimized. |
| booleano abstracto | getPlacePrunedGraph () Only place the subgraphs that are run, rather than the entire graph. |
| resumen RewriterConfig | getRewriteOptions () Options that control the type and amount of graph rewriting. |
| resumen RewriterConfigOrBuilder | getRewriteOptionsOrBuilder () Options that control the type and amount of graph rewriting. |
| resumen entero | getTimelineStep () If > 0, record a timeline every this many steps. |
| booleano abstracto | tieneOptimizerOptions () Options controlling how graph is optimized. |
| booleano abstracto | tieneRewriteOptions () Options that control the type and amount of graph rewriting. |
Métodos públicos
getBuildCostModel largo abstracto público ()
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; getBuildCostModelAfter largo abstracto público ()
The number of steps to skip before collecting statistics for the cost model.
int64 build_cost_model_after = 9; getEnableBfloat16Sendrecv booleano abstracto público ()
If true, transfer float values between processes as bfloat16.
bool enable_bfloat16_sendrecv = 7; getEnableRecvScheduling booleano abstracto público ()
If true, use control flow to schedule the activation of Recv nodes. (Currently ignored.)
bool enable_recv_scheduling = 2; getInferShapes booleano abstracto público ()
Annotate each Node with Op output shape data, to the extent it can be statically inferred.
bool infer_shapes = 5; resumen público OptimizerOptions getOptimizerOptions ()
Options controlling how graph is optimized.
.tensorflow.OptimizerOptions optimizer_options = 3; resumen público OptimizerOptionsOrBuilder getOptimizerOptionsOrBuilder ()
Options controlling how graph is optimized.
.tensorflow.OptimizerOptions optimizer_options = 3; getPlacePrunedGraph booleano abstracto público ()
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; resumen público 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; resumen público 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; resumen público int getTimelineStep ()
If > 0, record a timeline every this many steps. EXPERIMENTAL: This currently has no effect in MasterSession.
int32 timeline_step = 8; hasOptimizerOptions booleano abstracto público ()
Options controlling how graph is optimized.
.tensorflow.OptimizerOptions optimizer_options = 3; hasRewriteOptions booleano abstracto público ()
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;