Implement
EagerClusterFunctionLibraryRuntime::Run( const FunctionLibraryRuntime::Options& opts, FunctionLibraryRuntime::LocalHandle handle, gtl::ArraySlice<Tensor> args, std::vector<Tensor>* rets, FunctionLibraryRuntime::DoneCallback done) when args and rets are empty. PiperOrigin-RevId: 299453456 Change-Id: I7456e3f75183020725b8a298f7f943da910a9e3a
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@ -120,7 +120,18 @@ void EagerClusterFunctionLibraryRuntime::Run(
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const FunctionLibraryRuntime::Options& opts,
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FunctionLibraryRuntime::LocalHandle handle, gtl::ArraySlice<Tensor> args,
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std::vector<Tensor>* rets, FunctionLibraryRuntime::DoneCallback done) {
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done(errors::Unimplemented("Not implemented"));
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if (args.empty() && rets->empty()) {
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FunctionLibraryRuntime::Options opts_copy = opts;
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opts_copy.op_id = ctx_->RemoteMgr()->NextOpId();
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Run(opts_copy, handle, /*args=*/nullptr, std::move(done));
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} else {
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// TODO(b/150963957): Support remote inputs and outputs which are passed as
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// Tensors.
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done(errors::Unimplemented(
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"Not implemented. Users could set the input devices and output devices "
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"in FunctionLibraryRuntime::Options to the default multi-device "
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"function device as a workaround."));
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}
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}
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void EagerClusterFunctionLibraryRuntime::Run(
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@ -158,8 +169,10 @@ void EagerClusterFunctionLibraryRuntime::Run(
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eager::EnqueueRequest* request = new eager::EnqueueRequest;
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request->set_context_id(context_id_);
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eager::Operation* remote_op = request->add_queue()->mutable_operation();
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for (size_t i = 0; i < args->size(); ++i) {
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remote_op->add_inputs()->Swap(&(*args)[i]);
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if (args) {
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for (size_t i = 0; i < args->size(); ++i) {
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remote_op->add_inputs()->Swap(&(*args)[i]);
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}
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}
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// The remote component function should use the same op_id as its parent
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// multi-device function's in order to get the global unique op_id generated
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