পাবলিক ইন্টারফেস CallableOptionsOrBuilder
| পরিচিত পরোক্ষ উপশ্রেণী |
পাবলিক পদ্ধতি
| বিমূর্ত বুলিয়ান | FeedDevices রয়েছে (স্ট্রিং কী) The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default. |
| বিমূর্ত বুলিয়ান | FetchDevices রয়েছে (স্ট্রিং কী) map<string, string> fetch_devices = 7; |
| বিমূর্ত স্ট্রিং | getFeed (int সূচক) Tensors to be fed in the callable. |
| বিমূর্ত com.google.protobuf.ByteString | getFeedBytes (int সূচক) Tensors to be fed in the callable. |
| বিমূর্ত int | getFeedCount () Tensors to be fed in the callable. |
| বিমূর্ত মানচিত্র <স্ট্রিং, স্ট্রিং> | getFeedDevices () পরিবর্তে getFeedDevicesMap() ব্যবহার করুন। |
| বিমূর্ত int | getFeedDevicesCount () The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default. |
| বিমূর্ত মানচিত্র <স্ট্রিং, স্ট্রিং> | getFeedDevicesMap () The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default. |
| বিমূর্ত স্ট্রিং | getFeedDevicesOrDefault (স্ট্রিং কী, স্ট্রিং ডিফল্ট মান) The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default. |
| বিমূর্ত স্ট্রিং | getFeedDevicesOrThrow (স্ট্রিং কী) The Tensor objects fed in the callable and fetched from the callable are expected to be backed by host (CPU) memory by default. |
| বিমূর্ত তালিকা<স্ট্রিং> | GetFeedList () Tensors to be fed in the callable. |
| বিমূর্ত স্ট্রিং | getFetch (int সূচক) Fetches. |
| বিমূর্ত com.google.protobuf.ByteString | getFetchBytes (int সূচক) Fetches. |
| বিমূর্ত int | getFetchCount () Fetches. |
| বিমূর্ত মানচিত্র <স্ট্রিং, স্ট্রিং> | getFetchDevices () পরিবর্তে getFetchDevicesMap() ব্যবহার করুন। |
| বিমূর্ত int | getFetchDevicesCount () map<string, string> fetch_devices = 7; |
| বিমূর্ত মানচিত্র <স্ট্রিং, স্ট্রিং> | getFetchDevicesMap () map<string, string> fetch_devices = 7; |
| বিমূর্ত স্ট্রিং | getFetchDevicesOrDefault (স্ট্রিং কী, স্ট্রিং ডিফল্ট মান) map<string, string> fetch_devices = 7; |
| বিমূর্ত স্ট্রিং | getFetchDevicesOrThrow (স্ট্রিং কী) map<string, string> fetch_devices = 7; |
| বিমূর্ত তালিকা<স্ট্রিং> | getFetchList () Fetches. |
| বিমূর্ত বুলিয়ান | getFetchSkipSync () By default, RunCallable() will synchronize the GPU stream before returning fetched tensors on a GPU device, to ensure that the values in those tensors have been produced. |
| বিমূর্ত RunOptions | getRunOptions () Options that will be applied to each run. |
| বিমূর্ত RunOptionsOrBuilder | getRunOptionsOrBuilder () Options that will be applied to each run. |
| বিমূর্ত স্ট্রিং | getTarget (int সূচক) Target Nodes. |
| বিমূর্ত com.google.protobuf.ByteString | getTargetBytes (int সূচক) Target Nodes. |
| বিমূর্ত int | getTargetCount () Target Nodes. |
| বিমূর্ত তালিকা<স্ট্রিং> | GetTargetList () Target Nodes. |
| বিমূর্ত টেনসর সংযোগ | getTensorConnection (int সূচক) Tensors to be connected in the callable. |
| বিমূর্ত int | getTensorConnectionCount () Tensors to be connected in the callable. |
| বিমূর্ত তালিকা< টেনসর সংযোগ > | getTensorConnectionList () Tensors to be connected in the callable. |
| বিমূর্ত TensorConnectionOrBuilder | getTensorConnectionOrBuilder (int সূচক) Tensors to be connected in the callable. |
| বিমূর্ত তালিকা<? TensorConnectionOrBuilder > প্রসারিত করে | getTensorConnectionOrBuilderList () Tensors to be connected in the callable. |
| বিমূর্ত বুলিয়ান | hasRunOptions () Options that will be applied to each run. |
পাবলিক পদ্ধতি
পাবলিক অ্যাবস্ট্রাক্ট বুলিয়ানে ফিডডিভাইস রয়েছে (স্ট্রিং কী)
The Tensor objects fed in the callable and fetched from the callable
are expected to be backed by host (CPU) memory by default.
The options below allow changing that - feeding tensors backed by
device memory, or returning tensors that are backed by device memory.
The maps below map the name of a feed/fetch tensor (which appears in
'feed' or 'fetch' fields above), to the fully qualified name of the device
owning the memory backing the contents of the tensor.
For example, creating a callable with the following options:
CallableOptions {
feed: "a:0"
feed: "b:0"
fetch: "x:0"
fetch: "y:0"
feed_devices: {
"a:0": "/job:localhost/replica:0/task:0/device:GPU:0"
}
fetch_devices: {
"y:0": "/job:localhost/replica:0/task:0/device:GPU:0"
}
}
means that the Callable expects:
- The first argument ("a:0") is a Tensor backed by GPU memory.
- The second argument ("b:0") is a Tensor backed by host memory.
and of its return values:
- The first output ("x:0") will be backed by host memory.
- The second output ("y:0") will be backed by GPU memory.
FEEDS:
It is the responsibility of the caller to ensure that the memory of the fed
tensors will be correctly initialized and synchronized before it is
accessed by operations executed during the call to Session::RunCallable().
This is typically ensured by using the TensorFlow memory allocators
(Device::GetAllocator()) to create the Tensor to be fed.
Alternatively, for CUDA-enabled GPU devices, this typically means that the
operation that produced the contents of the tensor has completed, i.e., the
CUDA stream has been synchronized (e.g., via cuCtxSynchronize() or
cuStreamSynchronize()).
map<string, string> feed_devices = 6; পাবলিক বিমূর্ত বুলিয়ানে রয়েছে ফেচডিভাইস (স্ট্রিং কী)
map<string, string> fetch_devices = 7;
সর্বজনীন বিমূর্ত স্ট্রিং getFeed (int সূচক)
Tensors to be fed in the callable. Each feed is the name of a tensor.
repeated string feed = 1; সর্বজনীন বিমূর্ত com.google.protobuf.ByteString getFeedBytes (int সূচক)
Tensors to be fed in the callable. Each feed is the name of a tensor.
repeated string feed = 1; পাবলিক বিমূর্ত int getFeedCount ()
Tensors to be fed in the callable. Each feed is the name of a tensor.
repeated string feed = 1; সর্বজনীন বিমূর্ত মানচিত্র<String, String> getFeedDevices ()
পরিবর্তে getFeedDevicesMap() ব্যবহার করুন।
পাবলিক বিমূর্ত int getFeedDevicesCount ()
The Tensor objects fed in the callable and fetched from the callable
are expected to be backed by host (CPU) memory by default.
The options below allow changing that - feeding tensors backed by
device memory, or returning tensors that are backed by device memory.
The maps below map the name of a feed/fetch tensor (which appears in
'feed' or 'fetch' fields above), to the fully qualified name of the device
owning the memory backing the contents of the tensor.
For example, creating a callable with the following options:
CallableOptions {
feed: "a:0"
feed: "b:0"
fetch: "x:0"
fetch: "y:0"
feed_devices: {
"a:0": "/job:localhost/replica:0/task:0/device:GPU:0"
}
fetch_devices: {
"y:0": "/job:localhost/replica:0/task:0/device:GPU:0"
}
}
means that the Callable expects:
- The first argument ("a:0") is a Tensor backed by GPU memory.
- The second argument ("b:0") is a Tensor backed by host memory.
and of its return values:
- The first output ("x:0") will be backed by host memory.
- The second output ("y:0") will be backed by GPU memory.
FEEDS:
It is the responsibility of the caller to ensure that the memory of the fed
tensors will be correctly initialized and synchronized before it is
accessed by operations executed during the call to Session::RunCallable().
This is typically ensured by using the TensorFlow memory allocators
(Device::GetAllocator()) to create the Tensor to be fed.
Alternatively, for CUDA-enabled GPU devices, this typically means that the
operation that produced the contents of the tensor has completed, i.e., the
CUDA stream has been synchronized (e.g., via cuCtxSynchronize() or
cuStreamSynchronize()).
map<string, string> feed_devices = 6; সর্বজনীন বিমূর্ত মানচিত্র<String, String> getFeedDevicesMap ()
The Tensor objects fed in the callable and fetched from the callable
are expected to be backed by host (CPU) memory by default.
The options below allow changing that - feeding tensors backed by
device memory, or returning tensors that are backed by device memory.
The maps below map the name of a feed/fetch tensor (which appears in
'feed' or 'fetch' fields above), to the fully qualified name of the device
owning the memory backing the contents of the tensor.
For example, creating a callable with the following options:
CallableOptions {
feed: "a:0"
feed: "b:0"
fetch: "x:0"
fetch: "y:0"
feed_devices: {
"a:0": "/job:localhost/replica:0/task:0/device:GPU:0"
}
fetch_devices: {
"y:0": "/job:localhost/replica:0/task:0/device:GPU:0"
}
}
means that the Callable expects:
- The first argument ("a:0") is a Tensor backed by GPU memory.
- The second argument ("b:0") is a Tensor backed by host memory.
and of its return values:
- The first output ("x:0") will be backed by host memory.
- The second output ("y:0") will be backed by GPU memory.
FEEDS:
It is the responsibility of the caller to ensure that the memory of the fed
tensors will be correctly initialized and synchronized before it is
accessed by operations executed during the call to Session::RunCallable().
This is typically ensured by using the TensorFlow memory allocators
(Device::GetAllocator()) to create the Tensor to be fed.
Alternatively, for CUDA-enabled GPU devices, this typically means that the
operation that produced the contents of the tensor has completed, i.e., the
CUDA stream has been synchronized (e.g., via cuCtxSynchronize() or
cuStreamSynchronize()).
map<string, string> feed_devices = 6; সর্বজনীন বিমূর্ত স্ট্রিং getFeedDevicesOrDefault (স্ট্রিং কী, স্ট্রিং ডিফল্ট মান)
The Tensor objects fed in the callable and fetched from the callable
are expected to be backed by host (CPU) memory by default.
The options below allow changing that - feeding tensors backed by
device memory, or returning tensors that are backed by device memory.
The maps below map the name of a feed/fetch tensor (which appears in
'feed' or 'fetch' fields above), to the fully qualified name of the device
owning the memory backing the contents of the tensor.
For example, creating a callable with the following options:
CallableOptions {
feed: "a:0"
feed: "b:0"
fetch: "x:0"
fetch: "y:0"
feed_devices: {
"a:0": "/job:localhost/replica:0/task:0/device:GPU:0"
}
fetch_devices: {
"y:0": "/job:localhost/replica:0/task:0/device:GPU:0"
}
}
means that the Callable expects:
- The first argument ("a:0") is a Tensor backed by GPU memory.
- The second argument ("b:0") is a Tensor backed by host memory.
and of its return values:
- The first output ("x:0") will be backed by host memory.
- The second output ("y:0") will be backed by GPU memory.
FEEDS:
It is the responsibility of the caller to ensure that the memory of the fed
tensors will be correctly initialized and synchronized before it is
accessed by operations executed during the call to Session::RunCallable().
This is typically ensured by using the TensorFlow memory allocators
(Device::GetAllocator()) to create the Tensor to be fed.
Alternatively, for CUDA-enabled GPU devices, this typically means that the
operation that produced the contents of the tensor has completed, i.e., the
CUDA stream has been synchronized (e.g., via cuCtxSynchronize() or
cuStreamSynchronize()).
map<string, string> feed_devices = 6;সর্বজনীন বিমূর্ত স্ট্রিং getFeedDevicesOrThrow (স্ট্রিং কী)
The Tensor objects fed in the callable and fetched from the callable
are expected to be backed by host (CPU) memory by default.
The options below allow changing that - feeding tensors backed by
device memory, or returning tensors that are backed by device memory.
The maps below map the name of a feed/fetch tensor (which appears in
'feed' or 'fetch' fields above), to the fully qualified name of the device
owning the memory backing the contents of the tensor.
For example, creating a callable with the following options:
CallableOptions {
feed: "a:0"
feed: "b:0"
fetch: "x:0"
fetch: "y:0"
feed_devices: {
"a:0": "/job:localhost/replica:0/task:0/device:GPU:0"
}
fetch_devices: {
"y:0": "/job:localhost/replica:0/task:0/device:GPU:0"
}
}
means that the Callable expects:
- The first argument ("a:0") is a Tensor backed by GPU memory.
- The second argument ("b:0") is a Tensor backed by host memory.
and of its return values:
- The first output ("x:0") will be backed by host memory.
- The second output ("y:0") will be backed by GPU memory.
FEEDS:
It is the responsibility of the caller to ensure that the memory of the fed
tensors will be correctly initialized and synchronized before it is
accessed by operations executed during the call to Session::RunCallable().
This is typically ensured by using the TensorFlow memory allocators
(Device::GetAllocator()) to create the Tensor to be fed.
Alternatively, for CUDA-enabled GPU devices, this typically means that the
operation that produced the contents of the tensor has completed, i.e., the
CUDA stream has been synchronized (e.g., via cuCtxSynchronize() or
cuStreamSynchronize()).
map<string, string> feed_devices = 6; সর্বজনীন বিমূর্ত তালিকা<String> getFeedList ()
Tensors to be fed in the callable. Each feed is the name of a tensor.
repeated string feed = 1; সর্বজনীন বিমূর্ত স্ট্রিং getFetch (int সূচক)
Fetches. A list of tensor names. The caller of the callable expects a tensor to be returned for each fetch[i] (see RunStepResponse.tensor). The order of specified fetches does not change the execution order.
repeated string fetch = 2; সর্বজনীন বিমূর্ত com.google.protobuf.ByteString getFetchBytes (int index)
Fetches. A list of tensor names. The caller of the callable expects a tensor to be returned for each fetch[i] (see RunStepResponse.tensor). The order of specified fetches does not change the execution order.
repeated string fetch = 2; পাবলিক বিমূর্ত int getFetchCount ()
Fetches. A list of tensor names. The caller of the callable expects a tensor to be returned for each fetch[i] (see RunStepResponse.tensor). The order of specified fetches does not change the execution order.
repeated string fetch = 2; সর্বজনীন বিমূর্ত মানচিত্র<স্ট্রিং, স্ট্রিং> getFetchDevices ()
পরিবর্তে getFetchDevicesMap() ব্যবহার করুন।
পাবলিক বিমূর্ত int getFetchDevicesCount ()
map<string, string> fetch_devices = 7;
সর্বজনীন বিমূর্ত মানচিত্র<String, String> getFetchDevicesMap ()
map<string, string> fetch_devices = 7;
সর্বজনীন বিমূর্ত স্ট্রিং getFetchDevicesOrDefault (স্ট্রিং কী, স্ট্রিং ডিফল্ট মান)
map<string, string> fetch_devices = 7;
সর্বজনীন বিমূর্ত স্ট্রিং getFetchDevicesOrThrow (স্ট্রিং কী)
map<string, string> fetch_devices = 7;
সর্বজনীন বিমূর্ত তালিকা<String> getFetchList ()
Fetches. A list of tensor names. The caller of the callable expects a tensor to be returned for each fetch[i] (see RunStepResponse.tensor). The order of specified fetches does not change the execution order.
repeated string fetch = 2; সর্বজনীন বিমূর্ত বুলিয়ান getFetchSkipSync ()
By default, RunCallable() will synchronize the GPU stream before returning fetched tensors on a GPU device, to ensure that the values in those tensors have been produced. This simplifies interacting with the tensors, but potentially incurs a performance hit. If this options is set to true, the caller is responsible for ensuring that the values in the fetched tensors have been produced before they are used. The caller can do this by invoking `Device::Sync()` on the underlying device(s), or by feeding the tensors back to the same Session using `feed_devices` with the same corresponding device name.
bool fetch_skip_sync = 8; সর্বজনীন বিমূর্ত RunOptions getRunOptions ()
Options that will be applied to each run.
.tensorflow.RunOptions run_options = 4; সর্বজনীন বিমূর্ত RunOptionsOrBuilder getRunOptionsOrBuilder ()
Options that will be applied to each run.
.tensorflow.RunOptions run_options = 4; সর্বজনীন বিমূর্ত স্ট্রিং getTarget (int সূচক)
Target Nodes. A list of node names. The named nodes will be run by the callable but their outputs will not be returned.
repeated string target = 3; সর্বজনীন বিমূর্ত com.google.protobuf.ByteString getTargetBytes (int index)
Target Nodes. A list of node names. The named nodes will be run by the callable but their outputs will not be returned.
repeated string target = 3; পাবলিক বিমূর্ত int getTargetCount ()
Target Nodes. A list of node names. The named nodes will be run by the callable but their outputs will not be returned.
repeated string target = 3; সর্বজনীন বিমূর্ত তালিকা<String> getTargetList ()
Target Nodes. A list of node names. The named nodes will be run by the callable but their outputs will not be returned.
repeated string target = 3; সর্বজনীন বিমূর্ত TensorConnection getTensorConnection (int সূচক)
Tensors to be connected in the callable. Each TensorConnection denotes a pair of tensors in the graph, between which an edge will be created in the callable.
repeated .tensorflow.TensorConnection tensor_connection = 5; পাবলিক বিমূর্ত int getTensorConnectionCount ()
Tensors to be connected in the callable. Each TensorConnection denotes a pair of tensors in the graph, between which an edge will be created in the callable.
repeated .tensorflow.TensorConnection tensor_connection = 5; সর্বজনীন বিমূর্ত তালিকা< TensorConnection > getTensorConnectionList ()
Tensors to be connected in the callable. Each TensorConnection denotes a pair of tensors in the graph, between which an edge will be created in the callable.
repeated .tensorflow.TensorConnection tensor_connection = 5; সর্বজনীন বিমূর্ত TensorConnectionOrBuilder getTensorConnectionOrBuilder (int সূচক)
Tensors to be connected in the callable. Each TensorConnection denotes a pair of tensors in the graph, between which an edge will be created in the callable.
repeated .tensorflow.TensorConnection tensor_connection = 5; সর্বজনীন বিমূর্ত তালিকা<? TensorConnectionOrBuilder > getTensorConnectionOrBuilderList () প্রসারিত করে
Tensors to be connected in the callable. Each TensorConnection denotes a pair of tensors in the graph, between which an edge will be created in the callable.
repeated .tensorflow.TensorConnection tensor_connection = 5; পাবলিক বিমূর্ত বুলিয়ান hasRunOptions ()
Options that will be applied to each run.
.tensorflow.RunOptions run_options = 4;