RewriterConfig.MemOptType

सार्वजनिक स्थैतिक अंतिम एनम RewriterConfig.MemOptType

प्रोटोबफ एनम tensorflow.RewriterConfig.MemOptType

स्थिरांक

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

विरासत में मिली विधियाँ

एनम मान

सार्वजनिक स्थैतिक अंतिम RewriterConfig.MemOptType DEFAULT_MEM_OPT

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

सार्वजनिक स्थैतिक अंतिम RewriterConfig.MemOptType HEURISTICS

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

सार्वजनिक स्थैतिक अंतिम RewriterConfig.MemOptType मैनुअल

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

सार्वजनिक स्थैतिक अंतिम RewriterConfig.MemOptType NO_MEM_OPT

 Disabled in the meta-optimizer.
NO_MEM_OPT = 1;

सार्वजनिक स्थैतिक अंतिम 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;

सार्वजनिक स्थैतिक अंतिम 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;

सार्वजनिक स्थैतिक अंतिम 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;

सार्वजनिक स्थैतिक अंतिम RewriterConfig.MemOptType अज्ञात

स्थिरांक

सार्वजनिक स्थैतिक अंतिम पूर्णांक DEFAULT_MEM_OPT_VALUE

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

स्थिर मान: 0

सार्वजनिक स्थैतिक अंतिम int HEURISTICS_VALUE

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

स्थिर मान: 3

सार्वजनिक स्थैतिक अंतिम पूर्णांक MANUAL_VALUE

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

स्थिर मान: 2

सार्वजनिक स्थैतिक अंतिम पूर्णांक NO_MEM_OPT_VALUE

 Disabled in the meta-optimizer.
NO_MEM_OPT = 1;

स्थिर मान: 1

सार्वजनिक स्थैतिक अंतिम पूर्णांक 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;

स्थिर मान: 5

सार्वजनिक स्थैतिक अंतिम पूर्णांक 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;

स्थिर मान: 6

सार्वजनिक स्थैतिक अंतिम पूर्णांक 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;

स्थिर मान: 4