def test_cross_nets_no_change(self): net = core.Net("test") init_net = core.Net("init") device_option = caffe2_pb2.DeviceOption() device_option.device_type = caffe2_pb2.CUDA device_option.cuda_gpu_id = 1 with core.DeviceScope(device_option): weight = init_net.XavierFill([], 'fc_w', shape=[10, 100]) bias = init_net.ConstantFill([], 'fc_b', shape=[ 10, ]) net.FC(["data", weight, bias], "fc1") data_remap = {'data': device_option} nets = core.InjectDeviceCopiesAmongNetsWithoutB2D( [init_net, net], blob_to_device_init=data_remap) op = nets[1]._net.op[0] self.assertEqual(op.type, "FC") self.assertEqual(op.input[0], "data") self.assertEqual(op.input[1], "fc_w") self.assertEqual(op.input[2], "fc_b") self.assertEqual(op.device_option.device_type, 1) self.assertEqual(op.device_option.cuda_gpu_id, 1) """
def test_cross_nets_no_change(self): net = core.Net("test") init_net = core.Net("init") device_option = caffe2_pb2.DeviceOption() device_option.device_type = caffe2_pb2.CUDA device_option.cuda_gpu_id = 1 with core.DeviceScope(device_option): weight = init_net.XavierFill([], 'fc_w', shape=[10, 100]) bias = init_net.ConstantFill([], 'fc_b', shape=[ 10, ]) net.FC(["data", weight, bias], "fc1") data_remap = {'data': device_option} nets = core.InjectDeviceCopiesAmongNetsWithoutB2D( [init_net, net], blob_to_device_init=data_remap) ref_str = """ name: "" op { input: "data" input: "fc_w" input: "fc_b" output: "fc1" name: "" type: "FC" device_option { device_type: 1 cuda_gpu_id: 1 } } external_input: "data" external_input: "fc_w" external_input: "fc_b" """ nets[1].Proto().name = '' # Ignore the name self.assertEqual(str(nets[1].Proto()).strip(), ref_str.strip())