def testMinimizePeakMemoryList(self): mtf_graph = mtf.Graph() mesh = mtf.Mesh(mtf_graph, 'my_mesh') x = mtf.Constant(mesh, 0, shape=mtf.convert_to_shape('a:3,b:4'), dtype=tf.int32, name='X').outputs[0] y = mtf.Constant(mesh, 0, shape=mtf.convert_to_shape('b:4,c:5'), dtype=tf.int32, name='Y').outputs[0] mtf.EinsumOperation([x, y], mtf.convert_to_shape('a:3,b:4,c:5'), name='Z') w = mtf.EinsumOperation([x, y], mtf.convert_to_shape('a:3,c:5'), name='W').outputs[0] mtf.BroadcastOperation(w, mtf.convert_to_shape('a:3,b:4,c:5'), name='V') graph = graph_interface.GraphInterface(mtf_graph) graph.set_tensor_final('Z:0') graph.set_tensor_final('V:0') schedule = list(scheduler.minimize_peak_memory(graph, 'LIST')) # List Scheduler prefers to schedule things that free the most memory. # When nothing is scheduled: # X frees -12 entries. # Y frees -20 entries. # After [X] scheduled: # Y frees -20 entries. # After [X, Y] scheduled: # Z frees -60 entries. # W frees -15 entries. # After [X, Y, W] scheduled: # Z frees -28 entries. # V frees -45 entries. # Hence the schedule should be [X, Y, W, Z, V]. self.assertEqual(schedule, [0, 1, 3, 2, 4])
def testMinimizePeakMemoryList_SingleUseTensor(self): mtf_graph = mtf.Graph() mesh = mtf.Mesh(mtf_graph, 'my_mesh') mtf.Constant(mesh, 0, shape=mtf.convert_to_shape('a:4'), dtype=tf.int32, name='X') y = mtf.Constant(mesh, 0, shape=mtf.convert_to_shape('b:3'), dtype=tf.int32, name='Y').outputs[0] mtf.BroadcastOperation(y, mtf.convert_to_shape('b:3,c:2'), name='Z') graph = graph_interface.GraphInterface(mtf_graph) graph.set_tensor_final('X:0') graph.set_tensor_final('Z:0') schedule = list(scheduler.minimize_peak_memory(graph, 'LIST')) # When nothing is scheduled: # X frees -4 entries # Y frees -3 entries # After [Y] scheduled: # X frees -4 entries # Z frees -3 entries # Hence the schedule should be [Y, Z, X]. self.assertEqual(schedule, [1, 2, 0])
def testBroadcastOperation(self): broadcast_operation = mtf.BroadcastOperation( self.x, mtf.Shape([self.b_dim, self.c_dim, self.a_dim])) self.assertEqual(broadcast_operation.splittable_dims, frozenset(["a", "b", "c"])) self.assertEqual(broadcast_operation.unsplittable_dims, frozenset())