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hub / github.com/DeepRec-AI/DeepRec / XlaDevice

Method XlaDevice

tensorflow/compiler/jit/xla_device.cc:192–223  ·  view source on GitHub ↗

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190}
191
192XlaDevice::XlaDevice(const SessionOptions& session_options,
193 const Options& options)
194 : LocalDevice(session_options,
195 BuildXlaDeviceAttributes(options.device_name_prefix,
196 options.device_name,
197 options.device_ordinal)),
198 xla_metadata_(options.device_ordinal, options.platform,
199 DeviceType(options.compilation_device_name),
200 options.shape_representation_fn,
201 options.padded_shape_fn ? options.padded_shape_fn
202 : DefaultPaddedShapeFn,
203 options.use_multiple_streams),
204 device_ordinal_(options.device_ordinal),
205 jit_device_name_(options.compilation_device_name),
206 platform_(options.platform),
207 intra_op_parallelism_threads_(
208 session_options.config.intra_op_parallelism_threads()),
209 use_multiple_streams_(options.use_multiple_streams),
210 shape_representation_fn_(options.shape_representation_fn),
211 allowed_devices_(options.allowed_devices) {
212 VLOG(1) << "Created XLA device " << options.compilation_device_name << " "
213 << this;
214 thread_pool_.reset(new thread::ThreadPool(session_options.env, "xla_device",
215 /*num_threads=*/1));
216
217 // We have multiple device to device streams to allow for some concurrency
218 // between transfers. The particular value of '4' is chosen fairly
219 // arbitrarily. It may be necessary to make this tunable via
220 // XlaDevice::Options.
221 static constexpr int kNumDeviceToDeviceStreams = 4;
222 device_to_device_streams_.resize(kNumDeviceToDeviceStreams);
223}
224
225XlaDevice::XlaDevice(const SessionOptions& session_options,
226 const Options& options,

Callers

nothing calls this directly

Calls 5

BuildXlaDeviceAttributesFunction · 0.85
DeviceTypeClass · 0.85
resetMethod · 0.45
resizeMethod · 0.45

Tested by

no test coverage detected