RewriterConfig.MemOptType

ציבורי סטטי סופי סופי RewriterConfig.MemOptType

Protobuf enum tensorflow.RewriterConfig.MemOptType

קבועים

int DEFAULT_MEM_OPT_VALUE
 The default setting (SCHEDULING and SWAPPING HEURISTICS only)
DEFAULT_MEM_OPT = 0;
int HEURISTICS_VALUE
 Use any combination of swapping and recomputation heuristics.
int MANUAL_VALUE
 Driven by manual op-level annotations.
int NO_MEM_OPT_VALUE
 Disabled in the meta-optimizer.
int RECOMPUTATION_HEURISTICS_VALUE
 Recomputation heuristics will recompute ops (such as Relu activation)
 during backprop instead of storing them, reducing peak memory usage.
int 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.
int 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.

שיטות בירושה

ערכים מנויים

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 HEURISTICS

 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 UNRECOGNIZED

קבועים

סופי סטטי ציבורי DEFAULT_MEM_OPT_VALUE

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

ערך קבוע: 0

ציבורי סטטי סופי int HEURISTICS_VALUE

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

ערך קבוע: 3

ציבורי סטטי סופי int MANUAL_VALUE

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

ערך קבוע: 2

ציבורי סטטי סופי int NO_MEM_OPT_VALUE

 Disabled in the meta-optimizer.
NO_MEM_OPT = 1;

ערך קבוע: 1

אינט סופי סטטי ציבורי 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;

ערך קבוע: 5

סופי סטטי ציבורי 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;

ערך קבוע: 6

אינט סופי סטטי ציבורי 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;

ערך קבוע: 4