ND4JEnvironmentVars (nd4j-common 1.0.0-beta6 API)

java.lang.Object
- org.nd4j.config.ND4JEnvironmentVars

public class ND4JEnvironmentVars
extends java.lang.Object

Field Summary

Fields
Modifier and Type	Field and Description
`static java.lang.String`	`BACKEND_DYNAMIC_LOAD_CLASSPATH` Applicability: always - but only if an ND4J backend cannot be found/loaded via standard ServiceLoader mechanisms Description: Set this environment variable to a set fully qualified JAR files to attempt to load before failing on not loading a backend.
`static java.lang.String`	`BACKEND_PRIORITY_CPU` Applicability: nd4j-native, when multiple backends are on classpath Description: Defines the priority that the CPU/Native backend should be loaded (or attempt to be loaded).
`static java.lang.String`	`BACKEND_PRIORITY_GPU` Applicability: nd4j-cuda-xx, when multiple backends are on classpath Description: Defines the priority that the CUDA (GPU) backend should be loaded (or attempt to be loaded).
`static java.lang.String`	`DL4J_VOID_IP` Applicability: nd4j-parameter-server Usage: A fallback for determining the local IP the parameter server, if other approaches fail to determine the local IP
`static java.lang.String`	`ND4J_CUDA_FORCE_SINGLE_GPU` Applicability: nd4j-cuda-xx used on multi-GPU systems Description: If set, only a single GPU will be used by ND4J, even if multiple GPUs are available in the system
`static java.lang.String`	`ND4J_CUDA_MAX_BLOCK_SIZE` Applicability: nd4j-cuda-xx Description:
`static java.lang.String`	`ND4J_CUDA_MAX_CONTEXTS` Applicability: nd4j-cuda-xx Description: This variable defines how many concurrent threads will be able to use same device.
`static java.lang.String`	`ND4J_CUDA_MAX_DEVICE_ALLOCATION` Applicability: nd4j-cuda-xx Description:
`static java.lang.String`	`ND4J_CUDA_MAX_DEVICE_CACHE` Applicability: nd4j-cuda-xx Description:
`static java.lang.String`	`ND4J_CUDA_MAX_GRID_SIZE` Applicability: nd4j-cuda-xx Description:
`static java.lang.String`	`ND4J_CUDA_MAX_HOST_CACHE` Applicability: nd4j-cuda-xx Description:
`static java.lang.String`	`ND4J_CUDA_MIN_BLOCK_SIZE` Applicability: nd4j-cuda-xx Description:
`static java.lang.String`	`ND4J_CUDA_USE_PREALLOCATION` Applicability: nd4j-cuda-xx Description:
`static java.lang.String`	`ND4J_FALLBACK` Applicability: nd4j-native backend Description: Whether build-in BLAS matrix multiplication (GEMM) should be used instead of the native BLAS library such as MKL or OpenBLAS.
`static java.lang.String`	`ND4J_IGNORE_AVX` Applicability: nd4j-native Description: Set to true to avoid logging AVX warnings (i.e., running generic x86 binaries on an AVX2 system)
`static java.lang.String`	`ND4J_MKL_FALLBACK` Applicability: nd4j-native
`static java.lang.String`	`ND4J_RESOURCES_CACHE_DIR`
`static java.lang.String`	`ND4J_SKIP_BLAS_THREADS` Applicability: nd4j-native backend Description: Skips the setting of the `OMP_NUM_THREADS` property for ND4J ops.
`static java.lang.String`	`OMP_NUM_THREADS` Applicability: nd4j-native backend Description: Sets the number of OpenMP parallel threads for ND4J native operations (and also native BLAS libraries such as Intel MKL and OpenBLAS).
`static java.lang.String`	`SD_FORBID_HELPERS` If set, this variable disables use of optimized platform helpers (i.e.
`static java.lang.String`	`SD_MASTER_THREADS` This variable defines how many threads will be used for any 1 linear algebra operation.
`static java.lang.String`	`SD_MAX_DEVICE_BYTES` If set, this variable defines how much memory application is allowed to use on any one computational device
`static java.lang.String`	`SD_MAX_PRIMARY_BYTES` If set, this variables defines how much memory application is allowed to use off-heap.
`static java.lang.String`	`SD_MAX_SPECIAL_BYTES` If set, this variable defines how much memory application is allowed to use ON ALL computational devices COMBINED.
`static java.lang.String`	`SD_MAX_THREADS` This variable defines how many threads will be used in ThreadPool for parallel execution of linear algebra.

Method Summary
- Methods inherited from class java.lang.Object
  clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Field Detail
  - BACKEND_PRIORITY_CPU
```
public static final java.lang.String BACKEND_PRIORITY_CPU
```
    Applicability: nd4j-native, when multiple backends are on classpath
    Description: Defines the priority that the CPU/Native backend should be loaded (or attempt to be loaded). If this is set to a higher value than BACKEND_PRIORITY_GPU (which has default value 100) the native backend will be loaded in preference to the CUDA backend, when both are on the classpath. Default value: 0
    
    See Also:
    
    Constant Field Values
  - BACKEND_PRIORITY_GPU
```
public static final java.lang.String BACKEND_PRIORITY_GPU
```
    Applicability: nd4j-cuda-xx, when multiple backends are on classpath
    Description: Defines the priority that the CUDA (GPU) backend should be loaded (or attempt to be loaded). If this is set to a higher value than BACKEND_PRIORITY_CPU (which has default value 0) the GPU backend will be loaded in preference to the CUDA backend, when both are on the classpath. Default value: 100 - hence by default, the CUDA backend will be loaded when both it and the CPU/native backend are on the classpath
    
    See Also:
    
    Constant Field Values
  - BACKEND_DYNAMIC_LOAD_CLASSPATH
```
public static final java.lang.String BACKEND_DYNAMIC_LOAD_CLASSPATH
```
    Applicability: always - but only if an ND4J backend cannot be found/loaded via standard ServiceLoader mechanisms
    Description: Set this environment variable to a set fully qualified JAR files to attempt to load before failing on not loading a backend. JAR files should be semi-colon delimited; i.e., "/some/file.jar;/other/path.jar". This should rarely be required in practice - for example, only in dynamic class loading/dynamic classpath scenarios
    For equivalent system property, see ND4JSystemProperties.DYNAMIC_LOAD_CLASSPATH_PROPERTY for the equivalent system property (that will take precidence if both are set)
    
    See Also:
    
    Constant Field Values
  - OMP_NUM_THREADS
```
public static final java.lang.String OMP_NUM_THREADS
```
    Applicability: nd4j-native backend
    Description: Sets the number of OpenMP parallel threads for ND4J native operations (and also native BLAS libraries such as Intel MKL and OpenBLAS). By default, this will be set to the number of physical cores (i.e., excluding hyperthreading cores), which usually provides optimal performance. Setting this to a larger value than the number of physical cores (for example, equal to number of logical cores - i.e., setting to 16 on an 8-core + hypethreading processor) - can result in reduced performance
    Note that if you have a significant number of parallel Java threads (for example, Spark or ParallelWrapper), or you want to keep some cores free for other programs - you may want to reduce this value.
    
    See Also:
    
    ND4J_SKIP_BLAS_THREADS, Constant Field Values
  - ND4J_SKIP_BLAS_THREADS
```
public static final java.lang.String ND4J_SKIP_BLAS_THREADS
```
    Applicability: nd4j-native backend
    Description: Skips the setting of the OMP_NUM_THREADS property for ND4J ops. Note that this property will usually still take effect for native BLAS libraries (MKL, OpenBLAS) even if this property is set
    
    See Also:
    
    Constant Field Values
  - ND4J_FALLBACK
```
public static final java.lang.String ND4J_FALLBACK
```
    Applicability: nd4j-native backend
    Description: Whether build-in BLAS matrix multiplication (GEMM) should be used instead of the native BLAS library such as MKL or OpenBLAS. This can have a noticable performance impact for these ops. Note that this is typically only useful as a workaround (or test) for bugs in these underlying native libraries, which are rare (but do occasionally occur on some platforms)
    
    See Also:
    
    Constant Field Values
  - DL4J_VOID_IP
```
public static final java.lang.String DL4J_VOID_IP
```
    Applicability: nd4j-parameter-server
    Usage: A fallback for determining the local IP the parameter server, if other approaches fail to determine the local IP
    
    See Also:
    
    Constant Field Values
  - ND4J_CUDA_MAX_BLOCK_SIZE
```
public static final java.lang.String ND4J_CUDA_MAX_BLOCK_SIZE
```
    Applicability: nd4j-cuda-xx
    Description:
    
    See Also:
    
    Constant Field Values
  - ND4J_CUDA_MIN_BLOCK_SIZE
```
public static final java.lang.String ND4J_CUDA_MIN_BLOCK_SIZE
```
    Applicability: nd4j-cuda-xx
    Description:
    
    See Also:
    
    Constant Field Values
  - ND4J_CUDA_MAX_GRID_SIZE
```
public static final java.lang.String ND4J_CUDA_MAX_GRID_SIZE
```
    Applicability: nd4j-cuda-xx
    Description:
    
    See Also:
    
    Constant Field Values
  - ND4J_CUDA_MAX_CONTEXTS
```
public static final java.lang.String ND4J_CUDA_MAX_CONTEXTS
```
    Applicability: nd4j-cuda-xx
    Description: This variable defines how many concurrent threads will be able to use same device. Keep in mind, this doesn't affect natural CUDA limitations
    
    See Also:
    
    Constant Field Values
  - ND4J_CUDA_FORCE_SINGLE_GPU
```
public static final java.lang.String ND4J_CUDA_FORCE_SINGLE_GPU
```
    Applicability: nd4j-cuda-xx used on multi-GPU systems
    Description: If set, only a single GPU will be used by ND4J, even if multiple GPUs are available in the system
    
    See Also:
    
    Constant Field Values
  - ND4J_CUDA_USE_PREALLOCATION
```
public static final java.lang.String ND4J_CUDA_USE_PREALLOCATION
```
    Applicability: nd4j-cuda-xx
    Description:
    
    See Also:
    
    Constant Field Values
  - ND4J_CUDA_MAX_DEVICE_CACHE
```
public static final java.lang.String ND4J_CUDA_MAX_DEVICE_CACHE
```
    Applicability: nd4j-cuda-xx
    Description:
    
    See Also:
    
    Constant Field Values
  - ND4J_CUDA_MAX_HOST_CACHE
```
public static final java.lang.String ND4J_CUDA_MAX_HOST_CACHE
```
    Applicability: nd4j-cuda-xx
    Description:
    
    See Also:
    
    Constant Field Values
  - ND4J_CUDA_MAX_DEVICE_ALLOCATION
```
public static final java.lang.String ND4J_CUDA_MAX_DEVICE_ALLOCATION
```
    Applicability: nd4j-cuda-xx
    Description:
    
    See Also:
    
    Constant Field Values
  - ND4J_MKL_FALLBACK
```
public static final java.lang.String ND4J_MKL_FALLBACK
```
    Applicability: nd4j-native
    
    See Also:
    
    Constant Field Values
  - ND4J_RESOURCES_CACHE_DIR
```
public static final java.lang.String ND4J_RESOURCES_CACHE_DIR
```
    See Also:
    
    Constant Field Values
  - ND4J_IGNORE_AVX
```
public static final java.lang.String ND4J_IGNORE_AVX
```
    Applicability: nd4j-native
    Description: Set to true to avoid logging AVX warnings (i.e., running generic x86 binaries on an AVX2 system)
    
    See Also:
    
    Constant Field Values
  - SD_MAX_THREADS
```
public static final java.lang.String SD_MAX_THREADS
```
    This variable defines how many threads will be used in ThreadPool for parallel execution of linear algebra. Default value: number of threads supported by this system.
    
    See Also:
    
    Constant Field Values
  - SD_MASTER_THREADS
```
public static final java.lang.String SD_MASTER_THREADS
```
    This variable defines how many threads will be used for any 1 linear algebra operation. Default value: number of threads supported by this system.
    
    See Also:
    
    Constant Field Values
  - SD_FORBID_HELPERS
```
public static final java.lang.String SD_FORBID_HELPERS
```
    If set, this variable disables use of optimized platform helpers (i.e. mkldnn or cuDNN)
    
    See Also:
    
    Constant Field Values
  - SD_MAX_PRIMARY_BYTES
```
public static final java.lang.String SD_MAX_PRIMARY_BYTES
```
    If set, this variables defines how much memory application is allowed to use off-heap. PLEASE NOTE: this option is separate from JVM XMS/XMX options
    
    See Also:
    
    Constant Field Values
  - SD_MAX_SPECIAL_BYTES
```
public static final java.lang.String SD_MAX_SPECIAL_BYTES
```
    If set, this variable defines how much memory application is allowed to use ON ALL computational devices COMBINED.
    
    See Also:
    
    Constant Field Values
  - SD_MAX_DEVICE_BYTES
```
public static final java.lang.String SD_MAX_DEVICE_BYTES
```
    If set, this variable defines how much memory application is allowed to use on any one computational device
    
    See Also:
    
    Constant Field Values

Class ND4JEnvironmentVars

Field Summary

Method Summary

Methods inherited from class java.lang.Object

Field Detail

BACKEND_PRIORITY_CPU

BACKEND_PRIORITY_GPU

BACKEND_DYNAMIC_LOAD_CLASSPATH

OMP_NUM_THREADS

ND4J_SKIP_BLAS_THREADS

ND4J_FALLBACK

DL4J_VOID_IP

ND4J_CUDA_MAX_BLOCK_SIZE

ND4J_CUDA_MIN_BLOCK_SIZE

ND4J_CUDA_MAX_GRID_SIZE

ND4J_CUDA_MAX_CONTEXTS

ND4J_CUDA_FORCE_SINGLE_GPU

ND4J_CUDA_USE_PREALLOCATION

ND4J_CUDA_MAX_DEVICE_CACHE

ND4J_CUDA_MAX_HOST_CACHE

ND4J_CUDA_MAX_DEVICE_ALLOCATION

ND4J_MKL_FALLBACK

ND4J_RESOURCES_CACHE_DIR

ND4J_IGNORE_AVX

SD_MAX_THREADS

SD_MASTER_THREADS

SD_FORBID_HELPERS

SD_MAX_PRIMARY_BYTES

SD_MAX_SPECIAL_BYTES

SD_MAX_DEVICE_BYTES