RewriterConfig.MemOptType

공개 정적 최종 열거형 RewriterConfig.MemOptType

Protobuf 열거형 tensorflow.RewriterConfig.MemOptType

상수

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

상속된 메서드

열거형 값

공개 정적 최종 RewriterConfig.MemOptType DEFAULT_MEM_OPT

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

공개 정적 최종 RewriterConfig.MemOptType 휴리스틱스

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

공개 정적 최종 RewriterConfig.MemOptType 매뉴얼

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

공개 정적 최종 RewriterConfig.MemOptType NO_MEM_OPT

 Disabled in the meta-optimizer.
NO_MEM_OPT = 1;

공개 정적 최종 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;

공개 정적 최종 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;

공개 정적 최종 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;

공개 정적 최종 RewriterConfig.MemOptType 인식되지 않음

상수

공개 정적 최종 int DEFAULT_MEM_OPT_VALUE

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

상수값: 0

공개 정적 최종 int HEURISTICS_VALUE

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

상수값: 3

공개 정적 최종 int MANUAL_VALUE

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

상수값: 2

공개 정적 최종 int NO_MEM_OPT_VALUE

 Disabled in the meta-optimizer.
NO_MEM_OPT = 1;

상수값: 1

공개 정적 최종 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;

상수값: 5

공개 정적 최종 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.
SCHEDULING_HEURISTICS = 6;

상수값: 6

공개 정적 최종 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.
SWAPPING_HEURISTICS = 4;

상수값: 4