demo code running problem

[lapetite123]

Hello, when I using your demo code for training, I met a problem :
Caused by op u'ENet/bottleneck1_0_conv3/Conv2D', defined at:
File "train_enet.py", line 341, in
run()
File "train_enet.py", line 162, in run
skip_connections=skip_connections)
File "/home/yt/TensorFlow-ENet/enet.py", line 433, in ENet
net, pooling_indices_1, inputs_shape_1 = bottleneck(net, output_depth=64, filter_size=3, regularizer_prob=0.01, downsampling=True, scope='bottleneck1_0')
File "/home/yt/miniconda3/envs/enet_py2.7/lib/python2.7/site-packages/tensorflow/contrib/framework/python/ops/arg_scope.py", line 182, in func_with_args
return func(*args, **current_args)
File "/home/yt/TensorFlow-ENet/enet.py", line 223, in bottleneck
net = slim.conv2d(net, output_depth, [1,1], scope=scope+'_conv3')
File "/home/yt/miniconda3/envs/enet_py2.7/lib/python2.7/site-packages/tensorflow/contrib/framework/python/ops/arg_scope.py", line 182, in func_with_args
return func(*args, **current_args)
File "/home/yt/miniconda3/envs/enet_py2.7/lib/python2.7/site-packages/tensorflow/contrib/layers/python/layers/layers.py", line 1057, in convolution
outputs = layer.apply(inputs)
File "/home/yt/miniconda3/envs/enet_py2.7/lib/python2.7/site-packages/tensorflow/python/layers/base.py", line 762, in apply
return self.call(inputs, *args, **kwargs)
File "/home/yt/miniconda3/envs/enet_py2.7/lib/python2.7/site-packages/tensorflow/python/layers/base.py", line 652, in call
outputs = self.call(inputs, *args, **kwargs)
File "/home/yt/miniconda3/envs/enet_py2.7/lib/python2.7/site-packages/tensorflow/python/layers/convolutional.py", line 167, in call
outputs = self._convolution_op(inputs, self.kernel)
File "/home/yt/miniconda3/envs/enet_py2.7/lib/python2.7/site-packages/tensorflow/python/ops/nn_ops.py", line 838, in call
return self.conv_op(inp, filter)
File "/home/yt/miniconda3/envs/enet_py2.7/lib/python2.7/site-packages/tensorflow/python/ops/nn_ops.py", line 502, in call
return self.call(inp, filter)
File "/home/yt/miniconda3/envs/enet_py2.7/lib/python2.7/site-packages/tensorflow/python/ops/nn_ops.py", line 190, in call
name=self.name)
File "/home/yt/miniconda3/envs/enet_py2.7/lib/python2.7/site-packages/tensorflow/python/ops/gen_nn_ops.py", line 639, in conv2d
data_format=data_format, dilations=dilations, name=name)
File "/home/yt/miniconda3/envs/enet_py2.7/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "/home/yt/miniconda3/envs/enet_py2.7/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 3160, in create_op
op_def=op_def)
File "/home/yt/miniconda3/envs/enet_py2.7/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1625, in init
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access

InternalError (see above for traceback): Blas SGEMM launch failed : m=108000, n=64, k=4
[[Node: ENet/bottleneck1_0_conv3/Conv2D = Conv2D[T=DT_FLOAT, data_format="NHWC", dilations=[1, 1, 1, 1], padding="SAME", strides=[1, 1, 1, 1], use_cudnn_on_gpu=true, _device="/job:localhost/replica:0/task:0/device:GPU:0"](ENet/add_2, ENet/bottleneck1_0_conv3/weights/read)]]
[[Node: Adam/update_ENet/bottleneck2_5_batch_norm1/beta/ApplyAdam/_8812 = _Recvclient_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_17711_Adam/update_ENet/bottleneck2_5_batch_norm1/beta/ApplyAdam", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]]

my environment setup is:
2080ti
tensorflow-gpu=1.5.0
python=2.7
can you please help me? and where to indicated which gpu to run the training code, I didn't find it