RewriterConfig

lớp cuối cùng công khai RewriterConfig

 Graph rewriting is experimental and subject to change, not covered by any
 API stability guarantees.
 

Loại tensorflow.RewriterConfig của Protobuf.RewriterConfig

Các lớp lồng nhau

lớp học	RewriterConfig.Builder		Graph rewriting is experimental and subject to change, not covered by any API stability guarantees.
liệt kê	RewriterConfig.CpuLayout		Enum for layout conversion between NCHW and NHWC on CPU.
lớp học	RewriterConfig.CustomGraphOptimizer		Message to describe custom graph optimizer and its parameters Loại protobuf tensorflow.RewriterConfig.CustomGraphOptimizer
giao diện	RewriterConfig.CustomGraphOptimizerOrBuilder
liệt kê	RewriterConfig.MemOptType		Protobuf enum tensorflow.RewriterConfig.MemOptType
liệt kê	RewriterConfig.NumIterationsType		Enum controlling the number of times to run optimizers.
liệt kê	RewriterConfig.Toggle		Protobuf enum tensorflow.RewriterConfig.Toggle

Hằng số

int	ARITHMETIC_OPTIMIZATION_FIELD_NUMBER
int	AUTO_MIXED_PRECISION_FIELD_NUMBER
int	AUTO_MIXED_PRECISION_MKL_FIELD_NUMBER
int	AUTO_PARALLEL_FIELD_NUMBER
int	COMMON_SUBGRAPH_ELIMINATION_FIELD_NUMBER
int	CONSTANT_FOLDING_FIELD_NUMBER
int	CPU_LAYOUT_CONVERSION_FIELD_NUMBER
int	CUSTOM_OPTIMIZERS_FIELD_NUMBER
int	DEBUG_STRIPPER_FIELD_NUMBER
int	DEPENDENCY_OPTIMIZATION_FIELD_NUMBER
int	DISABLE_META_OPTIMIZER_FIELD_NUMBER
int	DISABLE_MODEL_PRUNING_FIELD_NUMBER
int	EXPERIMENTAL_DISABLE_COMPRESSED_TENSOR_OPTIMIZATION_FIELD_NUMBER
int	FAIL_ON_OPTIMIZER_ERRORS_FIELD_NUMBER
int	FUNCTION_OPTIMIZATION_FIELD_NUMBER
int	IMPLEMENTATION_SELECTOR_FIELD_NUMBER
int	INTER_OPTIMIZER_VERIFIER_CONFIG_FIELD_NUMBER
int	LAYOUT_OPTIMIZER_FIELD_NUMBER
int	LOOP_OPTIMIZATION_FIELD_NUMBER
int	MEMORY_OPTIMIZATION_FIELD_NUMBER
int	MEMORY_OPTIMIZER_TARGET_NODE_NAME_SCOPE_FIELD_NUMBER
int	META_OPTIMIZER_ITERICS_FIELD_NUMBER
int	META_OPTIMIZER_TIMEOUT_MS_FIELD_NUMBER
int	MIN_GRAPH_NODES_FIELD_NUMBER
int	OPTIMIZERS_FIELD_NUMBER
int	PIN_TO_HOST_OPTIMIZATION_FIELD_NUMBER
int	POST_OPTIMIZATION_VERIFIER_CONFIG_FIELD_NUMBER
int	REMAPPING_FIELD_NUMBER
int	SCOPED_ALLOCATOR_OPTIMIZATION_FIELD_NUMBER
int	SCOPED_ALLOCATOR_OPTS_FIELD_NUMBER
int	SHAPE_OPTIMIZATION_FIELD_NUMBER

Phương pháp công khai

boolean	bằng (Đối tượng obj)
RewriterConfig.Toggle	getTối ưu hóa số học () Arithmetic optimizations (default is ON) e.g.
int	getArithmeticOptimizationValue () Arithmetic optimizations (default is ON) e.g.
RewriterConfig.Toggle	getAutoMixedPrecision () Optimize data types for CUDA (default is OFF).
RewriterConfig.Toggle	getAutoMixedPrecisionMkl () Optimize data types for MKL (default is OFF).
int	getAutoMixedPrecisionMklValue () Optimize data types for MKL (default is OFF).
int	getAutoMixedPrecisionValue () Optimize data types for CUDA (default is OFF).
Tùy chọn song song tự động	getAutoParallel () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
AutoParallelOptionsOrBuilder	getAutoParallelOrBuilder () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
RewriterConfig.Toggle	getCommonSubgraphElimination () Common subgraph elimination (default is ON) e.g.
int	getCommonSubgraphEliminationValue () Common subgraph elimination (default is ON) e.g.
RewriterConfig.Toggle	getConstantFolding () Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
int	getConstantFoldingValue () Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
RewriterConfig.CpuLayout	getCpuLayoutConversion () CPU Conversion settings between NHCW and NCHW.
int	getCpuLayoutConversionValue () CPU Conversion settings between NHCW and NCHW.
RewriterConfig.CustomGraphOptimizer	getCustomOptimizers (chỉ mục int) list of CustomGraphOptimizers to apply.
int	getCustomOptimizersCount () list of CustomGraphOptimizers to apply.
Danh sách< RewriterConfig.CustomGraphOptimizer >	getCustomOptimizersList () list of CustomGraphOptimizers to apply.
RewriterConfig.CustomGraphOptimizerOrBuilder	getCustomOptimizersOrBuilder (chỉ mục int) list of CustomGraphOptimizers to apply.
Danh sách<? mở rộng RewriterConfig.CustomGraphOptimizerOrBuilder >	getCustomOptimizersOrBuilderList () list of CustomGraphOptimizers to apply.
RewriterConfig.Toggle	getDebugStripper () Strips debug-related nodes from the graph (off by default).
int	getDebugStripperValue () Strips debug-related nodes from the graph (off by default).
RewriterConfig tĩnh	getDefaultInstance ()
Cấu hình ghi lại	getDefaultInstanceForType ()
RewriterConfig.Toggle	getDependencyOptimization () Control dependency optimizations (default is ON).
int	getDependencyOptimizationValue () Control dependency optimizations (default is ON).
com.google.protobuf.Descriptors.Descriptor tĩnh cuối cùng	getDescriptor ()
boolean	getDisableMetaOptimizer () Disable the entire meta optimizer (off by default).
boolean	getDisableModelPruning () If true, don't remove unnecessary ops from the graph bool disable_model_pruning = 2;
boolean	getExperimentalDisableCompressionTensorOptimization () Disable optimizations that assume compressed tensors.
boolean	getFailOnOptimizerErrors () If true, any optimization pass failing will cause the MetaOptimizer to stop with an error.
RewriterConfig.Toggle	getFunctionOptimization () Function optimizations (default is ON).
int	getFunctionOptimizationValue () Function optimizations (default is ON).
RewriterConfig.Toggle	getImplementationSelector () Enable the swap of kernel implementations based on the device placement (default is ON).
int	getImplementationSelectorValue () Enable the swap of kernel implementations based on the device placement (default is ON).
Trình xác minhConfig	getInterOptimizerVerifierConfig () VerifierConfig specifying the verifiers to be run after every optimizer.
Trình xác minhConfigOrBuilder	getInterOptimizerVerifierConfigOrBuilder () VerifierConfig specifying the verifiers to be run after every optimizer.
RewriterConfig.Toggle	getLayoutOptimizer () Optimize tensor layouts (default is ON) e.g.
int	getLayoutOptimizerValue () Optimize tensor layouts (default is ON) e.g.
RewriterConfig.Toggle	getLoopOptimization () Loop optimizations (default is ON).
int	getLoopOptimizationValue () Loop optimizations (default is ON).
RewriterConfig.MemOptType	getMemoryOptimization () Configures memory optimization passes through the meta-optimizer.
int	getMemoryOptimizationValue () Configures memory optimization passes through the meta-optimizer.
Sợi dây	getMemoryOptimizerTargetNodeNameScope () A node name scope for node names which are valid outputs of recomputations.
com.google.protobuf.ByteString	getMemoryOptimizerTargetNodeNameScopeBytes () A node name scope for node names which are valid outputs of recomputations.
RewriterConfig.NumIterationsType	getMetaOptimizerIterations () Controls how many times we run the optimizers in meta optimizer (default is once).
int	getMetaOptimizerIterationsValue () Controls how many times we run the optimizers in meta optimizer (default is once).
dài	getMetaOptimizerTimeoutMs () Maximum number of milliseconds to spend optimizing a single graph before timing out.
int	getMinGraphNodes () The minimum number of nodes in a graph to optimizer.
Sợi dây	getOptimizers (chỉ mục int) If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
com.google.protobuf.ByteString	getOptimizersBytes (chỉ mục int) If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
int	getOptimizersCount () If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
com.google.protobuf.ProtocolStringList	getOptimizersList () If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
	getParserForType ()
RewriterConfig.Toggle	getPinToHostOptimization () Force small ops onto the CPU (default is OFF).
int	getPinToHostOptimizationValue () Force small ops onto the CPU (default is OFF).
Trình xác minhConfig	getPostOptimizationVerifierConfig () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
Trình xác minhConfigOrBuilder	getPostOptimizationVerifierConfigOrBuilder () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
RewriterConfig.Toggle	getRemapping () Remapping (default is ON) Remap subgraphs onto more efficient implementations.
int	getRemappingValue () Remapping (default is ON) Remap subgraphs onto more efficient implementations.
RewriterConfig.Toggle	getScopedAllocatorOptimization () Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
int	getScopedAllocatorOptimizationValue () Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
Tùy chọn phân bổ phạm vi	getScopedAllocatorOpts () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
ScopedAllocatorOptionsOrBuilder	getScopedAllocatorOptsOrBuilder () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
int	getSerializedSize ()
RewriterConfig.Toggle	getShapeOptimization () Shape optimizations (default is ON) Simplify computations made on shapes.
int	getShapeOptimizationValue () Shape optimizations (default is ON) Simplify computations made on shapes.
com.google.protobuf.UnknownFieldSet cuối cùng	getUnknownFields ()
boolean	hasAutoParallel () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
boolean	hasInterOptimizerVerifierConfig () VerifierConfig specifying the verifiers to be run after every optimizer.
boolean	hasPostOptimizationVerifierConfig () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
boolean	hasScopedAllocatorOpts () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
int	Mã Băm ()
boolean cuối cùng	được khởi tạo ()
RewriterConfig.Builder tĩnh	người xây dựng mới ()
RewriterConfig.Builder tĩnh	newBuilder ( nguyên mẫu RewriterConfig )
RewriterConfig.Builder	newBuilderForType ()
RewriterConfig tĩnh	phân tích cú phápDelimitedFrom (Đầu vào luồng đầu vào)
RewriterConfig tĩnh	phân tích cú phápDelimitedFrom (Đầu vào luồng đầu vào, com.google.protobuf.ExtensionRegistryLite tiện ích mở rộngRegistry)
RewriterConfig tĩnh	ParseFrom (Dữ liệu ByteBuffer, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
RewriterConfig tĩnh	ParseFrom (đầu vào com.google.protobuf.CodedInputStream)
RewriterConfig tĩnh	ParseFrom (dữ liệu byte[], com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
RewriterConfig tĩnh	ParseFrom (dữ liệu ByteBuffer)
RewriterConfig tĩnh	ParseFrom (đầu vào com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
RewriterConfig tĩnh	ParseFrom (dữ liệu com.google.protobuf.ByteString)
RewriterConfig tĩnh	ParseFrom (Đầu vào inputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
RewriterConfig tĩnh	ParsFrom (dữ liệu com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
tĩnh	trình phân tích cú pháp ()
RewriterConfig.Builder	toBuilder ()
trống rỗng	writeTo (đầu ra com.google.protobuf.CodedOutputStream)

Phương pháp kế thừa

Từ lớp java.lang.Object

boolean	bằng (Đối tượng arg0)
Lớp cuối cùng<?>	getClass ()
int	Mã Băm ()
khoảng trống cuối cùng	thông báo ()
khoảng trống cuối cùng	thông báoTất cả ()
Sợi dây	toString ()
khoảng trống cuối cùng	chờ đã (arg0 dài, int arg1)
khoảng trống cuối cùng	chờ đã (arg0 dài)
khoảng trống cuối cùng	Chờ đợi ()

Từ giao diện org.tensorflow.proto.framework.RewriterConfigOrBuilder

tóm tắt RewriterConfig.Toggle	getTối ưu hóa số học () Arithmetic optimizations (default is ON) e.g.
int trừu tượng	getArithmeticOptimizationValue () Arithmetic optimizations (default is ON) e.g.
tóm tắt RewriterConfig.Toggle	getAutoMixedPrecision () Optimize data types for CUDA (default is OFF).
tóm tắt RewriterConfig.Toggle	getAutoMixedPrecisionMkl () Optimize data types for MKL (default is OFF).
int trừu tượng	getAutoMixedPrecisionMklValue () Optimize data types for MKL (default is OFF).
int trừu tượng	getAutoMixedPrecisionValue () Optimize data types for CUDA (default is OFF).
Tùy chọn AutoParallel trừu tượng	getAutoParallel () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
trừu tượng AutoParallelOptionsOrBuilder	getAutoParallelOrBuilder () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
tóm tắt RewriterConfig.Toggle	getCommonSubgraphElimination () Common subgraph elimination (default is ON) e.g.
int trừu tượng	getCommonSubgraphEliminationValue () Common subgraph elimination (default is ON) e.g.
tóm tắt RewriterConfig.Toggle	getConstantFolding () Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
int trừu tượng	getConstantFoldingValue () Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
tóm tắt RewriterConfig.CpuLayout	getCpuLayoutConversion () CPU Conversion settings between NHCW and NCHW.
int trừu tượng	getCpuLayoutConversionValue () CPU Conversion settings between NHCW and NCHW.
tóm tắt RewriterConfig.CustomGraphOptimizer	getCustomOptimizers (chỉ mục int) list of CustomGraphOptimizers to apply.
int trừu tượng	getCustomOptimizersCount () list of CustomGraphOptimizers to apply.
Danh sách trừu tượng< RewriterConfig.CustomGraphOptimizer >	getCustomOptimizersList () list of CustomGraphOptimizers to apply.
tóm tắt RewriterConfig.CustomGraphOptimizerOrBuilder	getCustomOptimizersOrBuilder (chỉ mục int) list of CustomGraphOptimizers to apply.
Danh sách trừu tượng<? mở rộng RewriterConfig.CustomGraphOptimizerOrBuilder >	getCustomOptimizersOrBuilderList () list of CustomGraphOptimizers to apply.
tóm tắt RewriterConfig.Toggle	getDebugStripper () Strips debug-related nodes from the graph (off by default).
int trừu tượng	getDebugStripperValue () Strips debug-related nodes from the graph (off by default).
tóm tắt RewriterConfig.Toggle	getDependencyOptimization () Control dependency optimizations (default is ON).
int trừu tượng	getDependencyOptimizationValue () Control dependency optimizations (default is ON).
trừu tượng boolean	getDisableMetaOptimizer () Disable the entire meta optimizer (off by default).
trừu tượng boolean	getDisableModelPruning () If true, don't remove unnecessary ops from the graph bool disable_model_pruning = 2;
trừu tượng boolean	getExperimentalDisableCompressionTensorOptimization () Disable optimizations that assume compressed tensors.
trừu tượng boolean	getFailOnOptimizerErrors () If true, any optimization pass failing will cause the MetaOptimizer to stop with an error.
tóm tắt RewriterConfig.Toggle	getFunctionOptimization () Function optimizations (default is ON).
int trừu tượng	getFunctionOptimizationValue () Function optimizations (default is ON).
tóm tắt RewriterConfig.Toggle	getImplementationSelector () Enable the swap of kernel implementations based on the device placement (default is ON).
int trừu tượng	getImplementationSelectorValue () Enable the swap of kernel implementations based on the device placement (default is ON).
cấu hình xác minh trừu tượng	getInterOptimizerVerifierConfig () VerifierConfig specifying the verifiers to be run after every optimizer.
trừu tượng VerifierConfigOrBuilder	getInterOptimizerVerifierConfigOrBuilder () VerifierConfig specifying the verifiers to be run after every optimizer.
tóm tắt RewriterConfig.Toggle	getLayoutOptimizer () Optimize tensor layouts (default is ON) e.g.
int trừu tượng	getLayoutOptimizerValue () Optimize tensor layouts (default is ON) e.g.
tóm tắt RewriterConfig.Toggle	getLoopOptimization () Loop optimizations (default is ON).
int trừu tượng	getLoopOptimizationValue () Loop optimizations (default is ON).
trừu tượng RewriterConfig.MemOptType	getMemoryOptimization () Configures memory optimization passes through the meta-optimizer.
int trừu tượng	getMemoryOptimizationValue () Configures memory optimization passes through the meta-optimizer.
chuỗi trừu tượng	getMemoryOptimizerTargetNodeNameScope () A node name scope for node names which are valid outputs of recomputations.
trừu tượng com.google.protobuf.ByteString	getMemoryOptimizerTargetNodeNameScopeBytes () A node name scope for node names which are valid outputs of recomputations.
tóm tắt RewriterConfig.NumIterationsType	getMetaOptimizerIterations () Controls how many times we run the optimizers in meta optimizer (default is once).
int trừu tượng	getMetaOptimizerIterationsValue () Controls how many times we run the optimizers in meta optimizer (default is once).
trừu tượng dài	getMetaOptimizerTimeoutMs () Maximum number of milliseconds to spend optimizing a single graph before timing out.
int trừu tượng	getMinGraphNodes () The minimum number of nodes in a graph to optimizer.
chuỗi trừu tượng	getOptimizers (chỉ mục int) If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
trừu tượng com.google.protobuf.ByteString	getOptimizersBytes (chỉ mục int) If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
int trừu tượng	getOptimizersCount () If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
Danh sách trừu tượng<String>	getOptimizersList () If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
tóm tắt RewriterConfig.Toggle	getPinToHostOptimization () Force small ops onto the CPU (default is OFF).
int trừu tượng	getPinToHostOptimizationValue () Force small ops onto the CPU (default is OFF).
cấu hình xác minh trừu tượng	getPostOptimizationVerifierConfig () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
trừu tượng VerifierConfigOrBuilder	getPostOptimizationVerifierConfigOrBuilder () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
tóm tắt RewriterConfig.Toggle	getRemapping () Remapping (default is ON) Remap subgraphs onto more efficient implementations.
int trừu tượng	getRemappingValue () Remapping (default is ON) Remap subgraphs onto more efficient implementations.
tóm tắt RewriterConfig.Toggle	getScopedAllocatorOptimization () Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
int trừu tượng	getScopedAllocatorOptimizationValue () Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
Tùy chọn ScopedAllocator trừu tượng	getScopedAllocatorOpts () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
trừu tượng ScopedAllocatorOptionsOrBuilder	getScopedAllocatorOptsOrBuilder () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;
tóm tắt RewriterConfig.Toggle	getShapeOptimization () Shape optimizations (default is ON) Simplify computations made on shapes.
int trừu tượng	getShapeOptimizationValue () Shape optimizations (default is ON) Simplify computations made on shapes.
trừu tượng boolean	hasAutoParallel () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
trừu tượng boolean	hasInterOptimizerVerifierConfig () VerifierConfig specifying the verifiers to be run after every optimizer.
trừu tượng boolean	hasPostOptimizationVerifierConfig () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
trừu tượng boolean	hasScopedAllocatorOpts () .tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

Hằng số

int cuối cùng tĩnh công khai ARITHMETIC_OPTIMIZATION_FIELD_NUMBER

Giá trị không đổi: 7

int tĩnh cuối cùng AUTO_MIXED_PRECISION_FIELD_NUMBER

Giá trị không đổi: 23

int tĩnh cuối cùng AUTO_MIXED_PRECISION_MKL_FIELD_NUMBER

Giá trị không đổi: 25

int tĩnh cuối cùng AUTO_PARALLEL_FIELD_NUMBER

Giá trị không đổi: 5

int tĩnh cuối cùng COMMON_SUBGRAPH_ELIMINATION_FIELD_NUMBER

Giá trị không đổi: 24

int tĩnh cuối cùng CONSTANT_FOLDING_FIELD_NUMBER

Giá trị không đổi: 3

CPU int tĩnh cuối cùng công khai_LAYOUT_CONVERSION_FIELD_NUMBER

Giá trị không đổi: 50

int tĩnh cuối cùng CUSTOM_OPTIMIZERS_FIELD_NUMBER

Giá trị không đổi: 200

int tĩnh công khai DEBUG_STRIPPER_FIELD_NUMBER

Giá trị không đổi: 11

int tĩnh công khai DEPENDENCY_OPTIMIZATION_FIELD_NUMBER

Giá trị không đổi: 8

int cuối cùng tĩnh công khai DISABLE_META_OPTIMIZER_FIELD_NUMBER

Giá trị không đổi: 19

int tĩnh công khai DISABLE_MODEL_PRUNING_FIELD_NUMBER

Giá trị không đổi: 2

int cuối cùng tĩnh công khai EXPERIMENTAL_DISABLE_COMPRESSED_TENSOR_OPTIMIZATION_FIELD_NUMBER

Giá trị không đổi: 26

int tĩnh cuối cùng công khai FAIL_ON_OPTIMIZER_ERRORS_FIELD_NUMBER

Giá trị không đổi: 21

int cuối cùng tĩnh công khai FUNCTION_OPTIMIZATION_FIELD_NUMBER

Giá trị không đổi: 10

int tĩnh công khai IMPLEMENTATION_SELECTOR_FIELD_NUMBER

Giá trị không đổi: 22

int tĩnh cuối cùng INTER_OPTIMIZER_VERIFIER_CONFIG_FIELD_NUMBER

Giá trị không đổi: 300

int tĩnh cuối cùng LAYOUT_OPTIMIZER_FIELD_NUMBER

Giá trị không đổi: 1

int tĩnh cuối cùng công khai LOOP_OPTIMIZATION_FIELD_NUMBER

Giá trị không đổi: 9

int tĩnh công khai MEMORY_OPTIMIZATION_FIELD_NUMBER

Giá trị không đổi: 4

int tĩnh công khai MEMORY_OPTIMIZER_TARGET_NODE_NAME_SCOPE_FIELD_NUMBER

Giá trị không đổi: 6

int tĩnh công khai META_OPTIMIZER_ITERICS_FIELD_NUMBER

Giá trị không đổi: 12

int tĩnh công khai META_OPTIMIZER_TIMEOUT_MS_FIELD_NUMBER

Giá trị không đổi: 20

int tĩnh công khai MIN_GRAPH_NODES_FIELD_NUMBER

Giá trị không đổi: 17

int cuối cùng tĩnh công khai OPTIMIZERS_FIELD_NUMBER

Giá trị không đổi: 100

int tĩnh công khai PIN_TO_HOST_OPTIMIZATION_FIELD_NUMBER

Giá trị không đổi: 18

int tĩnh công khai POST_OPTIMIZATION_VERIFIER_CONFIG_FIELD_NUMBER

Giá trị không đổi: 301

int tĩnh công khai REMAPPING_FIELD_NUMBER

Giá trị không đổi: 14

int tĩnh công khai SCOPED_ALLOCATOR_OPTIMIZATION_FIELD_NUMBER

Giá trị không đổi: 15

int tĩnh công khai SCOPED_ALLOCATOR_OPTS_FIELD_NUMBER

Giá trị không đổi: 16

int cuối cùng tĩnh công khai SHAPE_OPTIMIZATION_FIELD_NUMBER

Giá trị không đổi: 13

Phương pháp công khai

boolean công khai bằng (Object obj)

công khai RewriterConfig.Toggle getArithmeticOptimization ()

 Arithmetic optimizations (default is ON)
 e.g. Simplify arithmetic ops; merge ops with same value (like constants).
 

.tensorflow.RewriterConfig.Toggle arithmetic_optimization = 7;

int công khai getArithmeticOptimizationValue ()

 Arithmetic optimizations (default is ON)
 e.g. Simplify arithmetic ops; merge ops with same value (like constants).
 

.tensorflow.RewriterConfig.Toggle arithmetic_optimization = 7;

công khai RewriterConfig.Toggle getAutoMixedPrecision ()

 Optimize data types for CUDA (default is OFF).
 This will try to use float16 on GPU which is faster.
 Note that this can change the numerical stability of the graph and may
 require the use of loss scaling to maintain model convergence.
 

.tensorflow.RewriterConfig.Toggle auto_mixed_precision = 23;

public RewriterConfig.Toggle getAutoMixedPrecisionMkl ()

 Optimize data types for MKL (default is OFF).
 This will try to use bfloat16 on CPUs, which is faster.
 Note that this can change the numerical stability of the graph.
 

.tensorflow.RewriterConfig.Toggle auto_mixed_precision_mkl = 25;

int công khai getAutoMixedPrecisionMklValue ()

 Optimize data types for MKL (default is OFF).
 This will try to use bfloat16 on CPUs, which is faster.
 Note that this can change the numerical stability of the graph.
 

.tensorflow.RewriterConfig.Toggle auto_mixed_precision_mkl = 25;

int công khai getAutoMixedPrecisionValue ()

 Optimize data types for CUDA (default is OFF).
 This will try to use float16 on GPU which is faster.
 Note that this can change the numerical stability of the graph and may
 require the use of loss scaling to maintain model convergence.
 

.tensorflow.RewriterConfig.Toggle auto_mixed_precision = 23;

AutoParallelOptions công khai getAutoParallel ()

 Configures AutoParallel optimization passes either through the
 meta-optimizer or when manually specified through the optimizers field.
 

.tensorflow.AutoParallelOptions auto_parallel = 5;

AutoParallelOptionsOrBuilder công khai getAutoParallelOrBuilder ()

 Configures AutoParallel optimization passes either through the
 meta-optimizer or when manually specified through the optimizers field.
 

.tensorflow.AutoParallelOptions auto_parallel = 5;

công khai RewriterConfig.Toggle getCommonSubgraphElimination ()

 Common subgraph elimination (default is ON)
 e.g. Simplify arithmetic ops; merge ops with same value (like constants).
 

.tensorflow.RewriterConfig.Toggle common_subgraph_elimination = 24;

int công khai getCommonSubgraphEliminationValue ()

 Common subgraph elimination (default is ON)
 e.g. Simplify arithmetic ops; merge ops with same value (like constants).
 

.tensorflow.RewriterConfig.Toggle common_subgraph_elimination = 24;

công khai RewriterConfig.Toggle getConstantFolding ()

 Fold constants (default is ON)
 Statically infer the value of tensors when possible, and materialize the
 result using constants.
 

.tensorflow.RewriterConfig.Toggle constant_folding = 3;

int công khai getConstantFoldingValue ()

 Fold constants (default is ON)
 Statically infer the value of tensors when possible, and materialize the
 result using constants.
 

.tensorflow.RewriterConfig.Toggle constant_folding = 3;

công khai RewriterConfig.CpuLayout getCpuLayoutConversion ()

 CPU Conversion settings between NHCW and NCHW.
 

.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50;

int công khai getCpuLayoutConversionValue ()

 CPU Conversion settings between NHCW and NCHW.
 

.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50;

công khai RewriterConfig.CustomGraphOptimizer getCustomOptimizers (chỉ mục int)

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

int công khai getCustomOptimizersCount ()

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

Danh sách công khai< RewriterConfig.CustomGraphOptimizer > getCustomOptimizersList ()

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

công khai RewriterConfig.CustomGraphOptimizerOrBuilder getCustomOptimizersOrBuilder (chỉ mục int)

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

Danh sách công khai<? mở rộng RewriterConfig.CustomGraphOptimizerOrBuilder > getCustomOptimizersOrBuilderList ()

 list of CustomGraphOptimizers to apply.
 

repeated .tensorflow.RewriterConfig.CustomGraphOptimizer custom_optimizers = 200;

công khai RewriterConfig.Toggle getDebugStripper ()

 Strips debug-related nodes from the graph (off by default).
 

.tensorflow.RewriterConfig.Toggle debug_stripper = 11;

int công khai getDebugStripperValue ()

 Strips debug-related nodes from the graph (off by default).
 

.tensorflow.RewriterConfig.Toggle debug_stripper = 11;

tĩnh công khai RewriterConfig getDefaultInstance ()

công khai RewriterConfig getDefaultInstanceForType ()

công khai RewriterConfig.Toggle getDependencyOptimization ()

 Control dependency optimizations (default is ON).
 Remove redundant control dependencies, which may enable other optimization.
 

.tensorflow.RewriterConfig.Toggle dependency_optimization = 8;

int công khai getDependencyOptimizationValue ()

 Control dependency optimizations (default is ON).
 Remove redundant control dependencies, which may enable other optimization.
 

.tensorflow.RewriterConfig.Toggle dependency_optimization = 8;

công khai tĩnh cuối cùng com.google.protobuf.Descriptors.Descriptor getDescriptor ()

boolean công khai getDisableMetaOptimizer ()

 Disable the entire meta optimizer (off by default).
 

bool disable_meta_optimizer = 19;

boolean công khai getDisableModelPruning ()

 If true, don't remove unnecessary ops from the graph
 

bool disable_model_pruning = 2;

boolean công khai getExperimentalDisableCompressionTensorOptimization ()

 Disable optimizations that assume compressed tensors. Note that this flag
 is experimental and may be removed in the future.
 

bool experimental_disable_compressed_tensor_optimization = 26;

boolean công khai getFailOnOptimizerErrors ()

 If true, any optimization pass failing will cause the MetaOptimizer to
 stop with an error. By default - or when set to false, failing passes are
 skipped silently.
 

bool fail_on_optimizer_errors = 21;

công khai RewriterConfig.Toggle getFunctionOptimization ()

 Function optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle function_optimization = 10;

int công khai getFunctionOptimizationValue ()

 Function optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle function_optimization = 10;

public RewriterConfig.Toggle getImplementationSelector ()

 Enable the swap of kernel implementations based on the device placement
 (default is ON).
 

.tensorflow.RewriterConfig.Toggle implementation_selector = 22;

int công khai getImplementationSelectorValue ()

 Enable the swap of kernel implementations based on the device placement
 (default is ON).
 

.tensorflow.RewriterConfig.Toggle implementation_selector = 22;

public VerifierConfig getInterOptimizerVerifierConfig ()

 VerifierConfig specifying the verifiers to be run after every optimizer.
 

.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300;

công khai VerifierConfigOrBuilder getInterOptimizerVerifierConfigOrBuilder ()

 VerifierConfig specifying the verifiers to be run after every optimizer.
 

.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300;

công khai RewriterConfig.Toggle getLayoutOptimizer ()

 Optimize tensor layouts (default is ON)
 e.g. This will try to use NCHW layout on GPU which is faster.
 

.tensorflow.RewriterConfig.Toggle layout_optimizer = 1;

int công khai getLayoutOptimizerValue ()

 Optimize tensor layouts (default is ON)
 e.g. This will try to use NCHW layout on GPU which is faster.
 

.tensorflow.RewriterConfig.Toggle layout_optimizer = 1;

công khai RewriterConfig.Toggle getLoopOptimization ()

 Loop optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle loop_optimization = 9;

int công khai getLoopOptimizationValue ()

 Loop optimizations (default is ON).
 

.tensorflow.RewriterConfig.Toggle loop_optimization = 9;

công khai RewriterConfig.MemOptType getMemoryOptimization ()

 Configures memory optimization passes through the meta-optimizer. Has no
 effect on manually requested memory optimization passes in the optimizers
 field.
 

.tensorflow.RewriterConfig.MemOptType memory_optimization = 4;

int công khai getMemoryOptimizationValue ()

 Configures memory optimization passes through the meta-optimizer. Has no
 effect on manually requested memory optimization passes in the optimizers
 field.
 

.tensorflow.RewriterConfig.MemOptType memory_optimization = 4;

Chuỗi công khai getMemoryOptimizerTargetNodeNameScope ()

 A node name scope for node names which are valid outputs of recomputations.
 Inputs to nodes that match this scope may be recomputed (subject either to
 manual annotation of those input nodes or to manual annotation and
 heuristics depending on memory_optimization), but the nodes themselves will
 not be recomputed. This matches any sub-scopes as well, meaning the scope
 can appear not just as a top-level scope. For example, if the value is
 "gradients/", the default, it will match node name "gradients/foo",
 "foo/gradients/bar", but not "foo_gradients/"
 

string memory_optimizer_target_node_name_scope = 6;

com.google.protobuf.ByteString getMemoryOptimizerTargetNodeNameScopeBytes () công khai

 A node name scope for node names which are valid outputs of recomputations.
 Inputs to nodes that match this scope may be recomputed (subject either to
 manual annotation of those input nodes or to manual annotation and
 heuristics depending on memory_optimization), but the nodes themselves will
 not be recomputed. This matches any sub-scopes as well, meaning the scope
 can appear not just as a top-level scope. For example, if the value is
 "gradients/", the default, it will match node name "gradients/foo",
 "foo/gradients/bar", but not "foo_gradients/"
 

string memory_optimizer_target_node_name_scope = 6;

công khai RewriterConfig.NumIterationsType getMetaOptimizerIterations ()

 Controls how many times we run the optimizers in meta optimizer (default
 is once).
 

.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12;

int công khai getMetaOptimizerIterationsValue ()

 Controls how many times we run the optimizers in meta optimizer (default
 is once).
 

.tensorflow.RewriterConfig.NumIterationsType meta_optimizer_iterations = 12;

công khai getMetaOptimizerTimeoutMs ()

 Maximum number of milliseconds to spend optimizing a single graph before
 timing out. If equal to 0 the system picks a default (currently 5 minutes).
 If less than 0 the optimizer will never time out.
 

int64 meta_optimizer_timeout_ms = 20;

int công khai getMinGraphNodes ()

 The minimum number of nodes in a graph to optimizer. For smaller graphs,
 optimization is skipped.
 0 means the system picks an appropriate number.
 < 0 means do not skip optimization.
 

int32 min_graph_nodes = 17;

Chuỗi getOptimizer công khai (chỉ mục int)

 If non-empty, will use this as an alternative way to specify a list of
 optimizations to turn on and the order of the optimizations (replacing the
 meta-optimizer).
 Of the RewriterConfig options, only the AutoParallel configuration options
 (the auto_parallel field) apply to manually requested optimization passes
 ("autoparallel"). Memory optimization passes ("memory") invoked here are
 not configurable (in contrast to memory optimization passes through the
 meta-optimizer) and act only on manual op annotations.
 Custom optimizers (see custom_optimizers) that are not part of this
 schedule will be run after - in the order that they were specified.
 

repeated string optimizers = 100;

com.google.protobuf.ByteString getOptimizersBytes công khai (chỉ mục int)

 If non-empty, will use this as an alternative way to specify a list of
 optimizations to turn on and the order of the optimizations (replacing the
 meta-optimizer).
 Of the RewriterConfig options, only the AutoParallel configuration options
 (the auto_parallel field) apply to manually requested optimization passes
 ("autoparallel"). Memory optimization passes ("memory") invoked here are
 not configurable (in contrast to memory optimization passes through the
 meta-optimizer) and act only on manual op annotations.
 Custom optimizers (see custom_optimizers) that are not part of this
 schedule will be run after - in the order that they were specified.
 

repeated string optimizers = 100;

int công khai getOptimizersCount ()

 If non-empty, will use this as an alternative way to specify a list of
 optimizations to turn on and the order of the optimizations (replacing the
 meta-optimizer).
 Of the RewriterConfig options, only the AutoParallel configuration options
 (the auto_parallel field) apply to manually requested optimization passes
 ("autoparallel"). Memory optimization passes ("memory") invoked here are
 not configurable (in contrast to memory optimization passes through the
 meta-optimizer) and act only on manual op annotations.
 Custom optimizers (see custom_optimizers) that are not part of this
 schedule will be run after - in the order that they were specified.
 

repeated string optimizers = 100;

com.google.protobuf.ProtocolStringList công khai getOptimizersList ()

 If non-empty, will use this as an alternative way to specify a list of
 optimizations to turn on and the order of the optimizations (replacing the
 meta-optimizer).
 Of the RewriterConfig options, only the AutoParallel configuration options
 (the auto_parallel field) apply to manually requested optimization passes
 ("autoparallel"). Memory optimization passes ("memory") invoked here are
 not configurable (in contrast to memory optimization passes through the
 meta-optimizer) and act only on manual op annotations.
 Custom optimizers (see custom_optimizers) that are not part of this
 schedule will be run after - in the order that they were specified.
 

repeated string optimizers = 100;

công cộng getParserForType ()

công khai RewriterConfig.Toggle getPinToHostOptimization ()

 Force small ops onto the CPU (default is OFF).
 

.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18;

int công khai getPinToHostOptimizationValue ()

 Force small ops onto the CPU (default is OFF).
 

.tensorflow.RewriterConfig.Toggle pin_to_host_optimization = 18;

public VerifierConfig getPostOptimizationVerifierConfig ()

 VerifierConfig specifying the verifiers to be run at the end, after all
 optimizers have run.
 

.tensorflow.VerifierConfig post_optimization_verifier_config = 301;

công khai VerifierConfigOrBuilder getPostOptimizationVerifierConfigOrBuilder ()

 VerifierConfig specifying the verifiers to be run at the end, after all
 optimizers have run.
 

.tensorflow.VerifierConfig post_optimization_verifier_config = 301;

công khai RewriterConfig.Toggle getRemapping ()

 Remapping (default is ON)
 Remap subgraphs onto more efficient implementations.
 

.tensorflow.RewriterConfig.Toggle remapping = 14;

int công khai getRemappingValue ()

 Remapping (default is ON)
 Remap subgraphs onto more efficient implementations.
 

.tensorflow.RewriterConfig.Toggle remapping = 14;

công khai RewriterConfig.Toggle getScopedAllocatorOptimization ()

 Try to allocate some independent Op outputs contiguously in order to
 merge or eliminate downstream Ops (off by default).
 

.tensorflow.RewriterConfig.Toggle scoped_allocator_optimization = 15;

int công khai getScopedAllocatorOptimizationValue ()

 Try to allocate some independent Op outputs contiguously in order to
 merge or eliminate downstream Ops (off by default).
 

.tensorflow.RewriterConfig.Toggle scoped_allocator_optimization = 15;

công khai ScopedAllocatorOptions getScopedAllocatorOpts ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

công khai ScopedAllocatorOptionsOrBuilder getScopedAllocatorOptsOrBuilder ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

int công khai getSerializedSize ()

công khai RewriterConfig.Toggle getShapeOptimization ()

 Shape optimizations (default is ON)
 Simplify computations made on shapes.
 

.tensorflow.RewriterConfig.Toggle shape_optimization = 13;

int công khai getShapeOptimizationValue ()

 Shape optimizations (default is ON)
 Simplify computations made on shapes.
 

.tensorflow.RewriterConfig.Toggle shape_optimization = 13;

trận chung kết công khai com.google.protobuf.UnknownFieldSet getUnknownFields ()

boolean công khai hasAutoParallel ()

 Configures AutoParallel optimization passes either through the
 meta-optimizer or when manually specified through the optimizers field.
 

.tensorflow.AutoParallelOptions auto_parallel = 5;

boolean công khai hasInterOptimizerVerifierConfig ()

 VerifierConfig specifying the verifiers to be run after every optimizer.
 

.tensorflow.VerifierConfig inter_optimizer_verifier_config = 300;

boolean công khai hasPostOptimizationVerifierConfig ()

 VerifierConfig specifying the verifiers to be run at the end, after all
 optimizers have run.
 

.tensorflow.VerifierConfig post_optimization_verifier_config = 301;

boolean công khai hasScopedAllocatorOpts ()

.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;

mã băm int công khai ()

boolean cuối cùng công khai được khởi tạo ()

tĩnh công khai RewriterConfig.Builder newBuilder ()

public static RewriterConfig.Builder newBuilder ( nguyên mẫu RewriterConfig )

công khai RewriterConfig.Builder newBuilderForType ()

tĩnh công khai RewriterConfig phân tích cú phápDelimitedFrom (Đầu vào luồng đầu vào)

Ném

IOException

công khai tĩnh RewriterConfig phân tích cú phápDelimitedFrom (đầu vào InputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

Ném

IOException

phân tích cú pháp RewriterConfig tĩnh công khai (dữ liệu ByteBuffer, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

Ném

Giao thức đệm ngoại lệ không hợp lệ

phân tích cú pháp RewriterConfig tĩnh công khai (đầu vào com.google.protobuf.CodedInputStream)

Ném

IOException

tĩnh công khai RewriterConfig phân tích cú phápFrom (dữ liệu byte[], com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

Ném

Giao thức đệm ngoại lệ không hợp lệ

phân tích cú pháp RewriterConfig tĩnh công khaiTừ (dữ liệu ByteBuffer)

Ném

Giao thức đệm ngoại lệ không hợp lệ

tĩnh công khai RewriterConfig phân tích cú phápFrom (đầu vào com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

Ném

IOException

phân tích cú pháp RewriterConfig tĩnh công khai (dữ liệu com.google.protobuf.ByteString)

Ném

Giao thức đệm ngoại lệ không hợp lệ

công khai tĩnh RewriterConfig phân tích cú phápFrom (Đầu vào InputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

Ném

IOException

tĩnh công khai RewriterConfig phân tích cú phápFrom (dữ liệu com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

Ném

Giao thức đệm ngoại lệ không hợp lệ

công cộng tĩnh trình phân tích cú pháp ()

công khai RewriterConfig.Builder toBuilder ()

public void writeTo (đầu ra com.google.protobuf.CodedOutputStream)

Ném

IOException