}

    EnsureIsCopied();
    impl_->insert(resource_op);
  }

  Impl::const_iterator begin() const {
    return impl_ ? impl_->begin() : GetEmptyImpl()->begin();
  }

  Impl::const_iterator end() const {
    return impl_ ? impl_->end() : GetEmptyImpl()->end();
  }

  bool Contains(const ResourceOp& resource_op) const {
    return impl_ != nullptr && impl_->count(resource_op);
  }

 private:

  explicit ParamGenerator(ParamGeneratorInterface<T>* impl) : impl_(impl) {}
  ParamGenerator(const ParamGenerator& other) : impl_(other.impl_) {}

  ParamGenerator& operator=(const ParamGenerator& other) {
    impl_ = other.impl_;
    return *this;
  }

  iterator begin() const { return iterator(impl_->Begin()); }
  iterator end() const { return iterator(impl_->End()); }

 private:

  explicit ParamGenerator(ParamGeneratorInterface<T>* impl) : impl_(impl) {}
  ParamGenerator(const ParamGenerator& other) : impl_(other.impl_) {}

  ParamGenerator& operator=(const ParamGenerator& other) {
    impl_ = other.impl_;
    return *this;
  }

  iterator begin() const { return iterator(impl_->Begin()); }
  iterator end() const { return iterator(impl_->End()); }

 private:

  /// session.
  /// NOTE: This API is still experimental and may change.
  Status ReleaseCallable(CallableHandle handle);

 private:
  class Impl;
  std::unique_ptr<Impl> impl_;
  Impl* impl() { return impl_.get(); }
  const Impl* impl() const { return impl_.get(); }
};

/// @}

}  // end namespace tensorflow

namespace tensorflow {

Scope::Scope(Impl* impl) : impl_(impl) {}

Scope::Scope(const Scope& other) : impl_(new Impl(*other.impl())) {}

Scope::~Scope() {}

Scope& Scope::operator=(const Scope& other) {
  // We can't copy Impls because of the const members, use copy ctor instead
  impl_.reset(new Impl(*other.impl_));
  return *this;
}

namespace {
const char kScopeSeparator[] = "/";

  // START_SKIP_DOXYGEN
  class Impl;
  Impl* impl() { return impl_.get(); }
  const Impl* impl() const { return impl_.get(); }
  // END_SKIP_DOXYGEN

 private:
  Scope WithOpNameImpl(const string& op_name) const;

  friend class InternalScope;
  std::unique_ptr<Impl> impl_;
  explicit Scope(Impl*);
};

  TF_CHECK_OK(status) << status;
  impl_.reset(new Impl(new_session, scope.graph_as_shared_ptr()));
  CHECK_NOTNULL(impl()->session_.get());
}

// Define destructor here so we can forward declare `Impl` in client_session.h.
// If we define a dtor in the header file or use the default dtor,
// unique_ptr<Impl> needs the complete type.
ClientSession::~ClientSession() {}

  TestCase* GetMutableTestCase(int i);

  // Accessors for the implementation object.
  internal::UnitTestImpl* impl() { return impl_; }
  const internal::UnitTestImpl* impl() const { return impl_; }

  // These classes and functions are friends as they need to access private
  // members of UnitTest.
  friend class Test;
  friend class internal::AssertHelper;

  TestCase* GetMutableTestCase(int i);

  // Accessors for the implementation object.
  internal::UnitTestImpl* impl() { return impl_; }
  const internal::UnitTestImpl* impl() const { return impl_; }

  // These classes and functions are friends as they need to access private
  // members of UnitTest.
  friend class Test;
  friend class internal::AssertHelper;

  %1 = "tf.Identity"(%0) {device = ""} : (tensor<2xf32>) -> tensor<*xf32>
  %2 = "tf.Identity"(%1) {device = ""} : (tensor<*xf32>) -> tensor<*xf32>
  return %2 : tensor<*xf32>
}
func.func private @XlaCallModule_aten.hardswish.default.impl_0(%arg0: tensor<2xf32>) -> tensor<2xf32> {
  %0 = mhlo.constant dense<6.000000e+00> : tensor<f32>