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  /external/tensorflow/tensorflow/compiler/xla/service/
device_memory_allocator.cc 29 absl::Span<se::StreamExecutor* const> stream_executors)
31 stream_executors_(stream_executors.begin(), stream_executors.end()) {}
backend.cc 109 auto stream_executors,
116 new Backend(platform, compiler, stream_executors, transfer_manager,
144 absl::Span<se::StreamExecutor* const> stream_executors,
153 for (se::StreamExecutor* exec : stream_executors) {
160 platform, stream_executors);
platform_util.cc 228 std::vector<se::StreamExecutor*> stream_executors(device_count, nullptr);
245 thread_pool.Schedule([platform, i, &stream_executors]() {
253 stream_executors[i] = executor;
266 if (absl::c_all_of(stream_executors,
271 return stream_executors;
backend.h 106 const std::vector<se::StreamExecutor*>& stream_executors() const { function in class:xla::Backend
160 absl::Span<se::StreamExecutor* const> stream_executors,
device_memory_allocator.h 83 absl::Span<se::StreamExecutor* const> stream_executors);
service.cc 171 auto stream_executors = execute_backend_->stream_executors(); local
173 se::StreamExecutor* executor = stream_executors.at(i);
232 absl::Span<se::StreamExecutor* const> stream_executors) const {
233 CHECK_EQ(options_.number_of_replicas(), stream_executors.size());
247 int replica_device_ordinal = stream_executors[replica]->device_ordinal();
    [all...]
service.h 219 absl::Span<se::StreamExecutor* const> stream_executors) const;
  /external/tensorflow/tensorflow/compiler/jit/
xla_compilation_cache.cc 50 for (auto* executor : client_->backend().stream_executors()) {
xla_device.cc 106 backend->stream_executors()[device_ordinal]);

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