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