इस पेज का अनुवाद Cloud Translation API से किया गया है.

RewriterConfigOrBuilder

सार्वजनिक इंटरफ़ेस RewriterConfigOrBuilder

ज्ञात अप्रत्यक्ष उपवर्ग

रीराइटर कॉन्फिग , रीराइटर कॉन्फिग.बिल्डर

सार्वजनिक तरीके

सार RewriterConfig.टॉगल	अंकगणित अनुकूलन प्राप्त करें () Arithmetic optimizations (default is ON) e.g.
सार इंट	getArithmeticOptimizationValue () Arithmetic optimizations (default is ON) e.g.
सार RewriterConfig.टॉगल	getAutoMixedPrecision () Optimize data types for CUDA (default is OFF).
सार RewriterConfig.टॉगल	getAutoMixedPrecisionMkl () Optimize data types for MKL (default is OFF).
सार इंट	getAutoMixedPrecisionMklValue () Optimize data types for MKL (default is OFF).
सार इंट	getAutoMixedPrecisionValue () Optimize data types for CUDA (default is OFF).
सार AutoParallelOptions	ऑटोसमानांतर प्राप्त करें () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
सार AutoParallelOptionsOrBuilder	getAutoParallelOrBuilder () Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
सार RewriterConfig.टॉगल	getCommonSubgraphElination () Common subgraph elimination (default is ON) e.g.
सार इंट	getCommonSubgraphElinationValue () Common subgraph elimination (default is ON) e.g.
सार RewriterConfig.टॉगल	getConstantFolding () Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
सार इंट	getConstantFoldingValue () Fold constants (default is ON) Statically infer the value of tensors when possible, and materialize the result using constants.
सार RewriterConfig.CpuLayout	getCpuLayoutConversion () CPU Conversion settings between NHCW and NCHW.
सार इंट	getCpuLayoutConversionValue () CPU Conversion settings between NHCW and NCHW.
सार रिवाइटरकॉन्फिग.कस्टमग्राफऑप्टिमाइज़र	getCustomOptimizers (int अनुक्रमणिका) list of CustomGraphOptimizers to apply.
सार इंट	getCustomOptimizersCount () list of CustomGraphOptimizers to apply.
सार सूची< RewriterConfig.CustomGraphOptimizer >	getCustomOptimizersList () list of CustomGraphOptimizers to apply.
सार रीराइटरकॉन्फिग.कस्टमग्राफऑप्टिमाइज़रऑरबिल्डर	getCustomOptimizersOrBuilder (int अनुक्रमणिका) list of CustomGraphOptimizers to apply.
सार सूची<? RewriterConfig.CustomGraphOptimizerOrBuilder > का विस्तार करता है	getCustomOptimizersOrBuilderList () list of CustomGraphOptimizers to apply.
सार RewriterConfig.टॉगल	getDebugस्ट्रिपर () Strips debug-related nodes from the graph (off by default).
सार इंट	getDebugStripperValue () Strips debug-related nodes from the graph (off by default).
सार RewriterConfig.टॉगल	निर्भरता अनुकूलन प्राप्त करें () Control dependency optimizations (default is ON).
सार इंट	getDependencyOptimizationValue () Control dependency optimizations (default is ON).
अमूर्त बूलियन	getDisableMetaऑप्टिमाइज़र () Disable the entire meta optimizer (off by default).
अमूर्त बूलियन	getDisableModelPruning () If true, don't remove unnecessary ops from the graph `bool disable_model_pruning = 2;`
अमूर्त बूलियन	getExperimentalDisableCompressedTensorOptimization () Disable optimizations that assume compressed tensors.
अमूर्त बूलियन	getFairOnOptimizerErrors () If true, any optimization pass failing will cause the MetaOptimizer to stop with an error.
सार RewriterConfig.टॉगल	गेटफ़ंक्शनऑप्टिमाइज़ेशन () Function optimizations (default is ON).
सार इंट	getFunctionOptimizationValue () Function optimizations (default is ON).
सार RewriterConfig.टॉगल	कार्यान्वयन चयनकर्ता प्राप्त करें () Enable the swap of kernel implementations based on the device placement (default is ON).
सार इंट	getImplementationSelectorValue () Enable the swap of kernel implementations based on the device placement (default is ON).
सार सत्यापनकर्ता कॉन्फ़िगरेशन	getInterOptimizerVerifierConfig () VerifierConfig specifying the verifiers to be run after every optimizer.
सार VerifierConfigOrBuilder	getInterOptimizerVerifierConfigOrBuilder () VerifierConfig specifying the verifiers to be run after every optimizer.
सार RewriterConfig.टॉगल	गेटलेआउटऑप्टिमाइज़र () Optimize tensor layouts (default is ON) e.g.
सार इंट	getLayoutऑप्टिमाइज़रवैल्यू () Optimize tensor layouts (default is ON) e.g.
सार RewriterConfig.टॉगल	getLoopऑप्टिमाइज़ेशन () Loop optimizations (default is ON).
सार इंट	getLoopऑप्टिमाइज़ेशनवैल्यू () Loop optimizations (default is ON).
सार RewriterConfig.MemOptType	getMemoryअनुकूलन () Configures memory optimization passes through the meta-optimizer.
सार इंट	getMemoryOptimizationValue () Configures memory optimization passes through the meta-optimizer.
सार स्ट्रिंग	getMemoryOptimizerTargetNodeNameScope () A node name scope for node names which are valid outputs of recomputations.
सार com.google.protobuf.ByteString	getMemoryOptimizerTargetNodeNameScopeBytes () A node name scope for node names which are valid outputs of recomputations.
सार RewriterConfig.NumIterationsType	getMetaOptimizerIterations () Controls how many times we run the optimizers in meta optimizer (default is once).
सार इंट	getMetaOptimizerIterationsValue () Controls how many times we run the optimizers in meta optimizer (default is once).
अमूर्त लंबा	getMetaOptimizerTimeoutMs () Maximum number of milliseconds to spend optimizing a single graph before timing out.
सार इंट	getMinGraphNodes () The minimum number of nodes in a graph to optimizer.
सार स्ट्रिंग	गेटऑप्टिमाइज़र (इंट इंडेक्स) 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).
सार com.google.protobuf.ByteString	getOptimizersBytes (int अनुक्रमणिका) 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).
सार इंट	गेटऑप्टिमाइजर्सकाउंट () 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).
सार सूची<स्ट्रिंग>	getऑप्टिमाइज़रलिस्ट () 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).
सार RewriterConfig.टॉगल	getPinToHostऑप्टिमाइज़ेशन () Force small ops onto the CPU (default is OFF).
सार इंट	getPinToHostOptimizationValue () Force small ops onto the CPU (default is OFF).
सार सत्यापनकर्ता कॉन्फ़िगरेशन	getPostOptimizationVerifierConfig () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
सार VerifierConfigOrBuilder	getPostOptimizationVerifierConfigOrBuilder () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
सार RewriterConfig.टॉगल	getRemapping () Remapping (default is ON) Remap subgraphs onto more efficient implementations.
सार इंट	getRemappingValue () Remapping (default is ON) Remap subgraphs onto more efficient implementations.
सार RewriterConfig.टॉगल	getScopedAllocatorOptimization () Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
सार इंट	getScopedAllocatorOptimizationValue () Try to allocate some independent Op outputs contiguously in order to merge or eliminate downstream Ops (off by default).
सार स्कोप्डएलोकेटरऑप्शंस	getScopedAllocatorOpts () `.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;`
सार स्कोप्डएलोकेटरऑप्शनऑरबिल्डर	getScopedAllocatorOptsOrBuilder () `.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;`
सार RewriterConfig.टॉगल	getShapeअनुकूलन () Shape optimizations (default is ON) Simplify computations made on shapes.
सार इंट	getShapeOptimizationValue () Shape optimizations (default is ON) Simplify computations made on shapes.
अमूर्त बूलियन	इसमेंऑटोपैरेलल () है Configures AutoParallel optimization passes either through the meta-optimizer or when manually specified through the optimizers field.
अमूर्त बूलियन	इसमेंइंटरऑप्टिमाइज़रवेरिफायरकॉन्फिग () है VerifierConfig specifying the verifiers to be run after every optimizer.
अमूर्त बूलियन	hasPostOptimizationVerifierConfig () VerifierConfig specifying the verifiers to be run at the end, after all optimizers have run.
अमूर्त बूलियन	hasScopedAllocatorOpts () `.tensorflow.ScopedAllocatorOptions scoped_allocator_opts = 16;`

सार्वजनिक तरीके

सार्वजनिक सार 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;

सार्वजनिक सार int getArithmeticOptimizationValue ()

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

.tensorflow.RewriterConfig.Toggle arithmetic_optimization = 7;

सार्वजनिक सार 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;

सार्वजनिक सार 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;

सार्वजनिक सार int 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;

सार्वजनिक सार int 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;

सार्वजनिक सार AutoParallelOptions getAutoParallel ()

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

.tensorflow.AutoParallelOptions auto_parallel = 5;

सार्वजनिक सार AutoParallelOptionsOrBuilder getAutoParallelOrBuilder ()

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

.tensorflow.AutoParallelOptions auto_parallel = 5;

सार्वजनिक सार RewriterConfig.Toggle getCommonSubgraphElination ()

 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;

सार्वजनिक सार int getCommonSubgraphElinationValue ()

 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;

सार्वजनिक सार 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;

सार्वजनिक सार int 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;

सार्वजनिक सार RewriterConfig.CpuLayout getCpuLayoutConversion ()

 CPU Conversion settings between NHCW and NCHW.

.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50;

सार्वजनिक सार int getCpuLayoutConversionValue ()

 CPU Conversion settings between NHCW and NCHW.

.tensorflow.RewriterConfig.CpuLayout cpu_layout_conversion = 50;