RewriterConfig.MemOptType

public static Final enum RewriterConfig.MemOptType

Protobuf enum tensorflow.RewriterConfig.MemOptType

定数

整数DEFAULT_MEM_OPT_VALUE
 The default setting (SCHEDULING and SWAPPING HEURISTICS only)
DEFAULT_MEM_OPT = 0;
整数HEURISTICS_VALUE
 Use any combination of swapping and recomputation heuristics.
整数MANUAL_VALUE
 Driven by manual op-level annotations.
整数NO_MEM_OPT_VALUE
 Disabled in the meta-optimizer.
整数RECOMPUTATION_HEURISTICS_VALUE
 Recomputation heuristics will recompute ops (such as Relu activation)
 during backprop instead of storing them, reducing peak memory usage.
整数SCHEDULING_HEURISTICS_VALUE
 Scheduling will split big ops such as AddN and try to enforce a schedule
 of the new computations that decreases peak memory usage.
整数SWAPPING_HEURISTICS_VALUE
 Swapping heuristic will move a tensor from the GPU to the CPU and move
 it back when needed to reduce peak memory usage.

継承されたメソッド

列挙値

public static Final RewriterConfig.MemOptType DEFAULT_MEM_OPT

 The default setting (SCHEDULING and SWAPPING HEURISTICS only)
DEFAULT_MEM_OPT = 0;

public static Final RewriterConfig.MemOptTypeヒューリスティック

 Use any combination of swapping and recomputation heuristics.
HEURISTICS = 3;

public static Final RewriterConfig.MemOptType MANUAL

 Driven by manual op-level annotations.
MANUAL = 2;

public static Final RewriterConfig.MemOptType NO_MEM_OPT

 Disabled in the meta-optimizer.
NO_MEM_OPT = 1;

public static Final RewriterConfig.MemOptType RECOMPUTATION_HEURISTICS

 Recomputation heuristics will recompute ops (such as Relu activation)
 during backprop instead of storing them, reducing peak memory usage.
RECOMPUTATION_HEURISTICS = 5;

public static Final RewriterConfig.MemOptType SCHEDULING_HEURISTICS

 Scheduling will split big ops such as AddN and try to enforce a schedule
 of the new computations that decreases peak memory usage.
SCHEDULING_HEURISTICS = 6;

public static Final RewriterConfig.MemOptType SWAPPING_HEURISTICS

 Swapping heuristic will move a tensor from the GPU to the CPU and move
 it back when needed to reduce peak memory usage.
SWAPPING_HEURISTICS = 4;

public static Final RewriterConfig.MemOptType認識されません

定数

パブリック静的最終整数DEFAULT_MEM_OPT_VALUE

 The default setting (SCHEDULING and SWAPPING HEURISTICS only)
DEFAULT_MEM_OPT = 0;

定数値: 0

パブリック静的最終整数HEURISTICS_VALUE

 Use any combination of swapping and recomputation heuristics.
HEURISTICS = 3;

定数値: 3

パブリック静的最終整数MANUAL_VALUE

 Driven by manual op-level annotations.
MANUAL = 2;

定数値: 2

パブリック静的最終整数NO_MEM_OPT_VALUE

 Disabled in the meta-optimizer.
NO_MEM_OPT = 1;

定数値: 1

public static Final int RECOMPUTATION_HEURISTICS_VALUE

 Recomputation heuristics will recompute ops (such as Relu activation)
 during backprop instead of storing them, reducing peak memory usage.
RECOMPUTATION_HEURISTICS = 5;

定数値: 5

パブリック静的最終整数SCHEDULING_HEURISTICS_VALUE

 Scheduling will split big ops such as AddN and try to enforce a schedule
 of the new computations that decreases peak memory usage.
SCHEDULING_HEURISTICS = 6;

定数値: 6

パブリック静的最終整数SWAPPING_HEURISTICS_VALUE

 Swapping heuristic will move a tensor from the GPU to the CPU and move
 it back when needed to reduce peak memory usage.
SWAPPING_HEURISTICS = 4;

定数値: 4