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// Copyright 2022 The Chromium Authors
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
#ifndef THIRD_PARTY_BLINK_RENDERER_MODULES_ML_ML_H_
#define THIRD_PARTY_BLINK_RENDERER_MODULES_ML_ML_H_
#include "services/webnn/public/mojom/webnn_context_provider.mojom-blink.h"
#include "third_party/blink/renderer/bindings/core/v8/script_promise.h"
#include "third_party/blink/renderer/core/execution_context/execution_context.h"
#include "third_party/blink/renderer/core/execution_context/execution_context_lifecycle_observer.h"
#include "third_party/blink/renderer/modules/ml/ml_context.h"
#include "third_party/blink/renderer/modules/modules_export.h"
#include "third_party/blink/renderer/platform/bindings/script_wrappable.h"
#include "third_party/blink/renderer/platform/heap/collection_support/heap_hash_set.h"
#include "third_party/blink/renderer/platform/heap/member.h"
#include "third_party/blink/renderer/platform/heap/visitor.h"
#include "third_party/blink/renderer/platform/mojo/heap_mojo_remote.h"
namespace blink {
class GPUDevice;
class MLContextOptions;
class ScriptState;
// This class represents the "Machine Learning" object "navigator.ml" used by
// the WebNN API. See https://www.w3.org/TR/webnn/#api-ml.
class MODULES_EXPORT ML final : public ScriptWrappable,
public ExecutionContextClient {
DEFINE_WRAPPERTYPEINFO();
public:
explicit ML(ExecutionContext* execution_context);
ML(const ML&) = delete;
ML& operator=(const ML&) = delete;
void Trace(blink::Visitor*) const override;
// IDL interface:
ScriptPromise<MLContext> createContext(ScriptState* state,
MLContextOptions* option,
ExceptionState& exception_state);
ScriptPromise<MLContext> createContext(ScriptState* state,
GPUDevice* gpu_device,
ExceptionState& exception_state);
private:
// Reset the remote of `WebNNContextProvider` if the remote is cut off from
// its receiver.
void OnWebNNServiceConnectionError();
// There is only one WebNN service running out of renderer process to access
// the hardware accelerated OS machine learning API. Every `navigator.ml`
// object has one `WebNNContextProvider` message pipe to create `WebNNContext`
// mojo interface.
void EnsureWebNNServiceConnection();
// WebNN support multiple types of neural network inference hardware
// acceleration such as CPU, GPU and ML specialized accelerator, the context
// of webnn in service is used to map different device and represent a state
// of graph execution processes.
HeapMojoRemote<webnn::mojom::blink::WebNNContextProvider>
webnn_context_provider_;
// Keep a set of unresolved `ScriptPromiseResolver`s which will be
// rejected when the Mojo pipe is unexpectedly disconnected.
HeapHashSet<Member<ScriptPromiseResolver<MLContext>>> pending_resolvers_;
};
} // namespace blink
#endif // THIRD_PARTY_BLINK_RENDERER_MODULES_ML_ML_H_
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