public static final class GPUOptions.Builder extends com.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Builder> implements GPUOptionsOrBuilder
tensorflow.GPUOptions
Modifier and Type | Method and Description |
---|---|
GPUOptions.Builder |
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
Object value) |
GPUOptions |
build() |
GPUOptions |
buildPartial() |
GPUOptions.Builder |
clear() |
GPUOptions.Builder |
clearAllocatorType()
The type of GPU allocation strategy to use.
|
GPUOptions.Builder |
clearAllowGrowth()
If true, the allocator does not pre-allocate the entire specified
GPU memory region, instead starting small and growing as needed.
|
GPUOptions.Builder |
clearDeferredDeletionBytes()
Delay deletion of up to this many bytes to reduce the number of
interactions with gpu driver code.
|
GPUOptions.Builder |
clearField(com.google.protobuf.Descriptors.FieldDescriptor field) |
GPUOptions.Builder |
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) |
GPUOptions.Builder |
clearPerProcessGpuMemoryFraction()
A value between 0 and 1 that indicates what fraction of the
available GPU memory to pre-allocate for each process.
|
GPUOptions.Builder |
clearPollingActiveDelayUsecs()
In the event polling loop sleep this many microseconds between
PollEvents calls, when the queue is not empty.
|
GPUOptions.Builder |
clearPollingInactiveDelayMsecs()
In the event polling loop sleep this many millisconds between
PollEvents calls, when the queue is empty.
|
GPUOptions.Builder |
clearVisibleDeviceList()
A comma-separated list of GPU ids that determines the 'visible'
to 'virtual' mapping of GPU devices.
|
GPUOptions.Builder |
clone() |
String |
getAllocatorType()
The type of GPU allocation strategy to use.
|
com.google.protobuf.ByteString |
getAllocatorTypeBytes()
The type of GPU allocation strategy to use.
|
boolean |
getAllowGrowth()
If true, the allocator does not pre-allocate the entire specified
GPU memory region, instead starting small and growing as needed.
|
GPUOptions |
getDefaultInstanceForType() |
long |
getDeferredDeletionBytes()
Delay deletion of up to this many bytes to reduce the number of
interactions with gpu driver code.
|
static com.google.protobuf.Descriptors.Descriptor |
getDescriptor() |
com.google.protobuf.Descriptors.Descriptor |
getDescriptorForType() |
double |
getPerProcessGpuMemoryFraction()
A value between 0 and 1 that indicates what fraction of the
available GPU memory to pre-allocate for each process.
|
int |
getPollingActiveDelayUsecs()
In the event polling loop sleep this many microseconds between
PollEvents calls, when the queue is not empty.
|
int |
getPollingInactiveDelayMsecs()
In the event polling loop sleep this many millisconds between
PollEvents calls, when the queue is empty.
|
String |
getVisibleDeviceList()
A comma-separated list of GPU ids that determines the 'visible'
to 'virtual' mapping of GPU devices.
|
com.google.protobuf.ByteString |
getVisibleDeviceListBytes()
A comma-separated list of GPU ids that determines the 'visible'
to 'virtual' mapping of GPU devices.
|
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable |
internalGetFieldAccessorTable() |
boolean |
isInitialized() |
GPUOptions.Builder |
mergeFrom(com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
GPUOptions.Builder |
mergeFrom(GPUOptions other) |
GPUOptions.Builder |
mergeFrom(com.google.protobuf.Message other) |
GPUOptions.Builder |
mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) |
GPUOptions.Builder |
setAllocatorType(String value)
The type of GPU allocation strategy to use.
|
GPUOptions.Builder |
setAllocatorTypeBytes(com.google.protobuf.ByteString value)
The type of GPU allocation strategy to use.
|
GPUOptions.Builder |
setAllowGrowth(boolean value)
If true, the allocator does not pre-allocate the entire specified
GPU memory region, instead starting small and growing as needed.
|
GPUOptions.Builder |
setDeferredDeletionBytes(long value)
Delay deletion of up to this many bytes to reduce the number of
interactions with gpu driver code.
|
GPUOptions.Builder |
setField(com.google.protobuf.Descriptors.FieldDescriptor field,
Object value) |
GPUOptions.Builder |
setPerProcessGpuMemoryFraction(double value)
A value between 0 and 1 that indicates what fraction of the
available GPU memory to pre-allocate for each process.
|
GPUOptions.Builder |
setPollingActiveDelayUsecs(int value)
In the event polling loop sleep this many microseconds between
PollEvents calls, when the queue is not empty.
|
GPUOptions.Builder |
setPollingInactiveDelayMsecs(int value)
In the event polling loop sleep this many millisconds between
PollEvents calls, when the queue is empty.
|
GPUOptions.Builder |
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
int index,
Object value) |
GPUOptions.Builder |
setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) |
GPUOptions.Builder |
setVisibleDeviceList(String value)
A comma-separated list of GPU ids that determines the 'visible'
to 'virtual' mapping of GPU devices.
|
GPUOptions.Builder |
setVisibleDeviceListBytes(com.google.protobuf.ByteString value)
A comma-separated list of GPU ids that determines the 'visible'
to 'virtual' mapping of GPU devices.
|
getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, internalGetMapField, internalGetMutableMapField, isClean, markClean, newBuilderForField, onBuilt, onChanged, parseUnknownField
findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toString
addAll, mergeFrom, newUninitializedMessageException
equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable
in class com.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Builder>
public GPUOptions.Builder clear()
clear
in interface com.google.protobuf.Message.Builder
clear
in interface com.google.protobuf.MessageLite.Builder
clear
in class com.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Builder>
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
getDescriptorForType
in interface com.google.protobuf.Message.Builder
getDescriptorForType
in interface com.google.protobuf.MessageOrBuilder
getDescriptorForType
in class com.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Builder>
public GPUOptions getDefaultInstanceForType()
getDefaultInstanceForType
in interface com.google.protobuf.MessageLiteOrBuilder
getDefaultInstanceForType
in interface com.google.protobuf.MessageOrBuilder
public GPUOptions build()
build
in interface com.google.protobuf.Message.Builder
build
in interface com.google.protobuf.MessageLite.Builder
public GPUOptions buildPartial()
buildPartial
in interface com.google.protobuf.Message.Builder
buildPartial
in interface com.google.protobuf.MessageLite.Builder
public GPUOptions.Builder clone()
clone
in interface com.google.protobuf.Message.Builder
clone
in interface com.google.protobuf.MessageLite.Builder
clone
in class com.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Builder>
public GPUOptions.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
setField
in interface com.google.protobuf.Message.Builder
setField
in class com.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Builder>
public GPUOptions.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
clearField
in interface com.google.protobuf.Message.Builder
clearField
in class com.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Builder>
public GPUOptions.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
clearOneof
in interface com.google.protobuf.Message.Builder
clearOneof
in class com.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Builder>
public GPUOptions.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
setRepeatedField
in interface com.google.protobuf.Message.Builder
setRepeatedField
in class com.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Builder>
public GPUOptions.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
addRepeatedField
in interface com.google.protobuf.Message.Builder
addRepeatedField
in class com.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Builder>
public GPUOptions.Builder mergeFrom(com.google.protobuf.Message other)
mergeFrom
in interface com.google.protobuf.Message.Builder
mergeFrom
in class com.google.protobuf.AbstractMessage.Builder<GPUOptions.Builder>
public GPUOptions.Builder mergeFrom(GPUOptions other)
public final boolean isInitialized()
isInitialized
in interface com.google.protobuf.MessageLiteOrBuilder
isInitialized
in class com.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Builder>
public GPUOptions.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
mergeFrom
in interface com.google.protobuf.Message.Builder
mergeFrom
in interface com.google.protobuf.MessageLite.Builder
mergeFrom
in class com.google.protobuf.AbstractMessage.Builder<GPUOptions.Builder>
IOException
public double getPerProcessGpuMemoryFraction()
A value between 0 and 1 that indicates what fraction of the available GPU memory to pre-allocate for each process. 1 means to pre-allocate all of the GPU memory, 0.5 means the process allocates ~50% of the available GPU memory.
double per_process_gpu_memory_fraction = 1;
getPerProcessGpuMemoryFraction
in interface GPUOptionsOrBuilder
public GPUOptions.Builder setPerProcessGpuMemoryFraction(double value)
A value between 0 and 1 that indicates what fraction of the available GPU memory to pre-allocate for each process. 1 means to pre-allocate all of the GPU memory, 0.5 means the process allocates ~50% of the available GPU memory.
double per_process_gpu_memory_fraction = 1;
public GPUOptions.Builder clearPerProcessGpuMemoryFraction()
A value between 0 and 1 that indicates what fraction of the available GPU memory to pre-allocate for each process. 1 means to pre-allocate all of the GPU memory, 0.5 means the process allocates ~50% of the available GPU memory.
double per_process_gpu_memory_fraction = 1;
public String getAllocatorType()
The type of GPU allocation strategy to use. Allowed values: "": The empty string (default) uses a system-chosen default which may change over time. "BFC": A "Best-fit with coalescing" algorithm, simplified from a version of dlmalloc.
string allocator_type = 2;
getAllocatorType
in interface GPUOptionsOrBuilder
public com.google.protobuf.ByteString getAllocatorTypeBytes()
The type of GPU allocation strategy to use. Allowed values: "": The empty string (default) uses a system-chosen default which may change over time. "BFC": A "Best-fit with coalescing" algorithm, simplified from a version of dlmalloc.
string allocator_type = 2;
getAllocatorTypeBytes
in interface GPUOptionsOrBuilder
public GPUOptions.Builder setAllocatorType(String value)
The type of GPU allocation strategy to use. Allowed values: "": The empty string (default) uses a system-chosen default which may change over time. "BFC": A "Best-fit with coalescing" algorithm, simplified from a version of dlmalloc.
string allocator_type = 2;
public GPUOptions.Builder clearAllocatorType()
The type of GPU allocation strategy to use. Allowed values: "": The empty string (default) uses a system-chosen default which may change over time. "BFC": A "Best-fit with coalescing" algorithm, simplified from a version of dlmalloc.
string allocator_type = 2;
public GPUOptions.Builder setAllocatorTypeBytes(com.google.protobuf.ByteString value)
The type of GPU allocation strategy to use. Allowed values: "": The empty string (default) uses a system-chosen default which may change over time. "BFC": A "Best-fit with coalescing" algorithm, simplified from a version of dlmalloc.
string allocator_type = 2;
public long getDeferredDeletionBytes()
Delay deletion of up to this many bytes to reduce the number of interactions with gpu driver code. If 0, the system chooses a reasonable default (several MBs).
int64 deferred_deletion_bytes = 3;
getDeferredDeletionBytes
in interface GPUOptionsOrBuilder
public GPUOptions.Builder setDeferredDeletionBytes(long value)
Delay deletion of up to this many bytes to reduce the number of interactions with gpu driver code. If 0, the system chooses a reasonable default (several MBs).
int64 deferred_deletion_bytes = 3;
public GPUOptions.Builder clearDeferredDeletionBytes()
Delay deletion of up to this many bytes to reduce the number of interactions with gpu driver code. If 0, the system chooses a reasonable default (several MBs).
int64 deferred_deletion_bytes = 3;
public boolean getAllowGrowth()
If true, the allocator does not pre-allocate the entire specified GPU memory region, instead starting small and growing as needed.
bool allow_growth = 4;
getAllowGrowth
in interface GPUOptionsOrBuilder
public GPUOptions.Builder setAllowGrowth(boolean value)
If true, the allocator does not pre-allocate the entire specified GPU memory region, instead starting small and growing as needed.
bool allow_growth = 4;
public GPUOptions.Builder clearAllowGrowth()
If true, the allocator does not pre-allocate the entire specified GPU memory region, instead starting small and growing as needed.
bool allow_growth = 4;
public String getVisibleDeviceList()
A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices. For example, if TensorFlow can see 8 GPU devices in the process, and one wanted to map visible GPU devices 5 and 3 as "/gpu:0", and "/gpu:1", then one would specify this field as "5,3". This field is similar in spirit to the CUDA_VISIBLE_DEVICES environment variable, except it applies to the visible GPU devices in the process. NOTE: The GPU driver provides the process with the visible GPUs in an order which is not guaranteed to have any correlation to the *physical* GPU id in the machine. This field is used for remapping "visible" to "virtual", which means this operates only after the process starts. Users are required to use vendor specific mechanisms (e.g., CUDA_VISIBLE_DEVICES) to control the physical to visible device mapping prior to invoking TensorFlow.
string visible_device_list = 5;
getVisibleDeviceList
in interface GPUOptionsOrBuilder
public com.google.protobuf.ByteString getVisibleDeviceListBytes()
A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices. For example, if TensorFlow can see 8 GPU devices in the process, and one wanted to map visible GPU devices 5 and 3 as "/gpu:0", and "/gpu:1", then one would specify this field as "5,3". This field is similar in spirit to the CUDA_VISIBLE_DEVICES environment variable, except it applies to the visible GPU devices in the process. NOTE: The GPU driver provides the process with the visible GPUs in an order which is not guaranteed to have any correlation to the *physical* GPU id in the machine. This field is used for remapping "visible" to "virtual", which means this operates only after the process starts. Users are required to use vendor specific mechanisms (e.g., CUDA_VISIBLE_DEVICES) to control the physical to visible device mapping prior to invoking TensorFlow.
string visible_device_list = 5;
getVisibleDeviceListBytes
in interface GPUOptionsOrBuilder
public GPUOptions.Builder setVisibleDeviceList(String value)
A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices. For example, if TensorFlow can see 8 GPU devices in the process, and one wanted to map visible GPU devices 5 and 3 as "/gpu:0", and "/gpu:1", then one would specify this field as "5,3". This field is similar in spirit to the CUDA_VISIBLE_DEVICES environment variable, except it applies to the visible GPU devices in the process. NOTE: The GPU driver provides the process with the visible GPUs in an order which is not guaranteed to have any correlation to the *physical* GPU id in the machine. This field is used for remapping "visible" to "virtual", which means this operates only after the process starts. Users are required to use vendor specific mechanisms (e.g., CUDA_VISIBLE_DEVICES) to control the physical to visible device mapping prior to invoking TensorFlow.
string visible_device_list = 5;
public GPUOptions.Builder clearVisibleDeviceList()
A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices. For example, if TensorFlow can see 8 GPU devices in the process, and one wanted to map visible GPU devices 5 and 3 as "/gpu:0", and "/gpu:1", then one would specify this field as "5,3". This field is similar in spirit to the CUDA_VISIBLE_DEVICES environment variable, except it applies to the visible GPU devices in the process. NOTE: The GPU driver provides the process with the visible GPUs in an order which is not guaranteed to have any correlation to the *physical* GPU id in the machine. This field is used for remapping "visible" to "virtual", which means this operates only after the process starts. Users are required to use vendor specific mechanisms (e.g., CUDA_VISIBLE_DEVICES) to control the physical to visible device mapping prior to invoking TensorFlow.
string visible_device_list = 5;
public GPUOptions.Builder setVisibleDeviceListBytes(com.google.protobuf.ByteString value)
A comma-separated list of GPU ids that determines the 'visible' to 'virtual' mapping of GPU devices. For example, if TensorFlow can see 8 GPU devices in the process, and one wanted to map visible GPU devices 5 and 3 as "/gpu:0", and "/gpu:1", then one would specify this field as "5,3". This field is similar in spirit to the CUDA_VISIBLE_DEVICES environment variable, except it applies to the visible GPU devices in the process. NOTE: The GPU driver provides the process with the visible GPUs in an order which is not guaranteed to have any correlation to the *physical* GPU id in the machine. This field is used for remapping "visible" to "virtual", which means this operates only after the process starts. Users are required to use vendor specific mechanisms (e.g., CUDA_VISIBLE_DEVICES) to control the physical to visible device mapping prior to invoking TensorFlow.
string visible_device_list = 5;
public int getPollingActiveDelayUsecs()
In the event polling loop sleep this many microseconds between PollEvents calls, when the queue is not empty. If value is not set or set to 0, gets set to a non-zero default.
int32 polling_active_delay_usecs = 6;
getPollingActiveDelayUsecs
in interface GPUOptionsOrBuilder
public GPUOptions.Builder setPollingActiveDelayUsecs(int value)
In the event polling loop sleep this many microseconds between PollEvents calls, when the queue is not empty. If value is not set or set to 0, gets set to a non-zero default.
int32 polling_active_delay_usecs = 6;
public GPUOptions.Builder clearPollingActiveDelayUsecs()
In the event polling loop sleep this many microseconds between PollEvents calls, when the queue is not empty. If value is not set or set to 0, gets set to a non-zero default.
int32 polling_active_delay_usecs = 6;
public int getPollingInactiveDelayMsecs()
In the event polling loop sleep this many millisconds between PollEvents calls, when the queue is empty. If value is not set or set to 0, gets set to a non-zero default.
int32 polling_inactive_delay_msecs = 7;
getPollingInactiveDelayMsecs
in interface GPUOptionsOrBuilder
public GPUOptions.Builder setPollingInactiveDelayMsecs(int value)
In the event polling loop sleep this many millisconds between PollEvents calls, when the queue is empty. If value is not set or set to 0, gets set to a non-zero default.
int32 polling_inactive_delay_msecs = 7;
public GPUOptions.Builder clearPollingInactiveDelayMsecs()
In the event polling loop sleep this many millisconds between PollEvents calls, when the queue is empty. If value is not set or set to 0, gets set to a non-zero default.
int32 polling_inactive_delay_msecs = 7;
public final GPUOptions.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
setUnknownFields
in interface com.google.protobuf.Message.Builder
setUnknownFields
in class com.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Builder>
public final GPUOptions.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
mergeUnknownFields
in interface com.google.protobuf.Message.Builder
mergeUnknownFields
in class com.google.protobuf.GeneratedMessageV3.Builder<GPUOptions.Builder>
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