def __create_context(self, main_root):
		context_dir = os.path.join(main_root, 'context')
		safe_mkdir(context_dir)

		action_default = {}
		for unit, param in self.__task.data['workflow'].items():
			action_default[unit] = self.__action_mgr.default_config(param['type'])

		navigators = self.__config_mgr.navigator()
		context_format = self.__navigator_mgr.context_format(navigators)

		self.__context_mgr.create_context_file(self.__task.data, action_default, context_format, context_dir)
def testMinimizeSparseResourceVariable(self, dtype):
    with self.cached_session():
      var0 = resource_variable_ops.ResourceVariable([[1.0, 2.0]], dtype=dtype)
      x = constant_op.constant([[4.0], [5.0]], dtype=dtype)
      pred = math_ops.matmul(embedding_ops.embedding_lookup([var0], [0]), x)
      loss = pred * pred
      sgd_op = rmsprop.RMSPropOptimizer(
          learning_rate=1.0,
          decay=0.0,
          momentum=0.0,
          epsilon=0.0,
          centered=False).minimize(loss)
      variables.global_variables_initializer().run()
      # Fetch params to validate initial values
      self.assertAllCloseAccordingToType([[1.0, 2.0]], var0.eval())
      # Run 1 step of sgd
      sgd_op.run()
      # Validate updated params
      self.assertAllCloseAccordingToType(
          [[0., 1.]], var0.eval(), atol=0.01)