In [21]:
import tensorflow as tf
import numpy as np
In [22]:
xy = np.loadtxt('../data/xor_data.txt', unpack=True)
x_data = xy[0:-1]
y_data = xy[-1]
np.transpose(xy)
Out[22]:
array([[ 0., 0., 0.],
[ 0., 1., 1.],
[ 1., 0., 1.],
[ 1., 1., 0.]])
In [23]:
X = tf.placeholder(tf.float32)
Y = tf.placeholder(tf.float32)
W = tf.Variable(tf.random_uniform( [1, len(x_data)], -1.0, 1.0))
h = tf.matmul(W,X)
In [24]:
hypo = tf.div(1., 1.+tf.exp(-h)) #sigmod
cost = -tf.reduce_mean(Y*tf.log(hypo) +(1-Y)*tf.log(1-hypo))
a = tf.Variable(0.01)
opt = tf.train.GradientDescentOptimizer(a)
train = opt.minimize(cost)
init = tf.global_variables_initializer()
In [25]:
sess = tf.Session()
sess.run(init)
for step in range(1000):
sess.run(train, feed_dict={X:x_data, Y:y_data})
if step % 200 == 0:
print(step, sess.run(cost, feed_dict={X:x_data, Y:y_data}),sess.run(W))
correct_prediction = tf.equal(tf.floor(hypo+0.5), Y)
accuracy = tf.reduce_mean(tf.cast(correct_prediction, "float"))
print(sess.run([hypo, tf.floor(hypo+0.5), correct_prediction, accuracy], feed_dict={X:x_data, Y:y_data}))
print("Accuracy:", accuracy.eval({X:x_data, Y:y_data},session=sess))
---------------------------------------------------------------------------
InternalError Traceback (most recent call last)
/home/jhdybpark/.virtualenvs/python36/lib/python3.6/site-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args)
1021 try:
-> 1022 return fn(*args)
1023 except errors.OpError as e:
/home/jhdybpark/.virtualenvs/python36/lib/python3.6/site-packages/tensorflow/python/client/session.py in _run_fn(session, feed_dict, fetch_list, target_list, options, run_metadata)
1003 feed_dict, fetch_list, target_list,
-> 1004 status, run_metadata)
1005
/usr/local/lib/python3.6/contextlib.py in __exit__(self, type, value, traceback)
88 try:
---> 89 next(self.gen)
90 except StopIteration:
/home/jhdybpark/.virtualenvs/python36/lib/python3.6/site-packages/tensorflow/python/framework/errors_impl.py in raise_exception_on_not_ok_status()
468 compat.as_text(pywrap_tensorflow.TF_Message(status)),
--> 469 pywrap_tensorflow.TF_GetCode(status))
470 finally:
InternalError: Blas SGEMM launch failed : a.shape=(1, 2), b.shape=(2, 4), m=1, n=4, k=2
[[Node: MatMul_4 = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/gpu:0"](Variable_8/read, _recv_Placeholder_8_0/_3)]]
During handling of the above exception, another exception occurred:
InternalError Traceback (most recent call last)
<ipython-input-25-70f1eb8268f1> in <module>()
2 sess.run(init)
3 for step in range(1000):
----> 4 sess.run(train, feed_dict={X:x_data, Y:y_data})
5 if step % 200 == 0:
6 print(step, sess.run(cost, feed_dict={X:x_data, Y:y_data}),sess.run(W))
/home/jhdybpark/.virtualenvs/python36/lib/python3.6/site-packages/tensorflow/python/client/session.py in run(self, fetches, feed_dict, options, run_metadata)
765 try:
766 result = self._run(None, fetches, feed_dict, options_ptr,
--> 767 run_metadata_ptr)
768 if run_metadata:
769 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)
/home/jhdybpark/.virtualenvs/python36/lib/python3.6/site-packages/tensorflow/python/client/session.py in _run(self, handle, fetches, feed_dict, options, run_metadata)
963 if final_fetches or final_targets:
964 results = self._do_run(handle, final_targets, final_fetches,
--> 965 feed_dict_string, options, run_metadata)
966 else:
967 results = []
/home/jhdybpark/.virtualenvs/python36/lib/python3.6/site-packages/tensorflow/python/client/session.py in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)
1013 if handle is None:
1014 return self._do_call(_run_fn, self._session, feed_dict, fetch_list,
-> 1015 target_list, options, run_metadata)
1016 else:
1017 return self._do_call(_prun_fn, self._session, handle, feed_dict,
/home/jhdybpark/.virtualenvs/python36/lib/python3.6/site-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args)
1033 except KeyError:
1034 pass
-> 1035 raise type(e)(node_def, op, message)
1036
1037 def _extend_graph(self):
InternalError: Blas SGEMM launch failed : a.shape=(1, 2), b.shape=(2, 4), m=1, n=4, k=2
[[Node: MatMul_4 = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/gpu:0"](Variable_8/read, _recv_Placeholder_8_0/_3)]]
Caused by op 'MatMul_4', defined at:
File "/usr/local/lib/python3.6/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/usr/local/lib/python3.6/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/home/jhdybpark/.virtualenvs/python36/lib/python3.6/site-packages/ipykernel/__main__.py", line 3, in <module>
app.launch_new_instance()
File "/home/jhdybpark/.virtualenvs/python36/lib/python3.6/site-packages/traitlets/config/application.py", line 658, in launch_instance
app.start()
File "/home/jhdybpark/.virtualenvs/python36/lib/python3.6/site-packages/ipykernel/kernelapp.py", line 474, in start
ioloop.IOLoop.instance().start()
File "/home/jhdybpark/.virtualenvs/python36/lib/python3.6/site-packages/zmq/eventloop/ioloop.py", line 177, in start
super(ZMQIOLoop, self).start()
File "/home/jhdybpark/.virtualenvs/python36/lib/python3.6/site-packages/tornado/ioloop.py", line 887, in start
handler_func(fd_obj, events)
File "/home/jhdybpark/.virtualenvs/python36/lib/python3.6/site-packages/tornado/stack_context.py", line 275, in null_wrapper
return fn(*args, **kwargs)
File "/home/jhdybpark/.virtualenvs/python36/lib/python3.6/site-packages/zmq/eventloop/zmqstream.py", line 440, in _handle_events
self._handle_recv()
File "/home/jhdybpark/.virtualenvs/python36/lib/python3.6/site-packages/zmq/eventloop/zmqstream.py", line 472, in _handle_recv
self._run_callback(callback, msg)
File "/home/jhdybpark/.virtualenvs/python36/lib/python3.6/site-packages/zmq/eventloop/zmqstream.py", line 414, in _run_callback
callback(*args, **kwargs)
File "/home/jhdybpark/.virtualenvs/python36/lib/python3.6/site-packages/tornado/stack_context.py", line 275, in null_wrapper
return fn(*args, **kwargs)
File "/home/jhdybpark/.virtualenvs/python36/lib/python3.6/site-packages/ipykernel/kernelbase.py", line 276, in dispatcher
return self.dispatch_shell(stream, msg)
File "/home/jhdybpark/.virtualenvs/python36/lib/python3.6/site-packages/ipykernel/kernelbase.py", line 228, in dispatch_shell
handler(stream, idents, msg)
File "/home/jhdybpark/.virtualenvs/python36/lib/python3.6/site-packages/ipykernel/kernelbase.py", line 390, in execute_request
user_expressions, allow_stdin)
File "/home/jhdybpark/.virtualenvs/python36/lib/python3.6/site-packages/ipykernel/ipkernel.py", line 196, in do_execute
res = shell.run_cell(code, store_history=store_history, silent=silent)
File "/home/jhdybpark/.virtualenvs/python36/lib/python3.6/site-packages/ipykernel/zmqshell.py", line 501, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
File "/home/jhdybpark/.virtualenvs/python36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 2717, in run_cell
interactivity=interactivity, compiler=compiler, result=result)
File "/home/jhdybpark/.virtualenvs/python36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 2821, in run_ast_nodes
if self.run_code(code, result):
File "/home/jhdybpark/.virtualenvs/python36/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 2881, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-23-5426af750e16>", line 5, in <module>
h = tf.matmul(W,X)
File "/home/jhdybpark/.virtualenvs/python36/lib/python3.6/site-packages/tensorflow/python/ops/math_ops.py", line 1855, in matmul
a, b, transpose_a=transpose_a, transpose_b=transpose_b, name=name)
File "/home/jhdybpark/.virtualenvs/python36/lib/python3.6/site-packages/tensorflow/python/ops/gen_math_ops.py", line 1454, in _mat_mul
transpose_b=transpose_b, name=name)
File "/home/jhdybpark/.virtualenvs/python36/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 763, in apply_op
op_def=op_def)
File "/home/jhdybpark/.virtualenvs/python36/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 2395, in create_op
original_op=self._default_original_op, op_def=op_def)
File "/home/jhdybpark/.virtualenvs/python36/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1264, in __init__
self._traceback = _extract_stack()
InternalError (see above for traceback): Blas SGEMM launch failed : a.shape=(1, 2), b.shape=(2, 4), m=1, n=4, k=2
[[Node: MatMul_4 = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/gpu:0"](Variable_8/read, _recv_Placeholder_8_0/_3)]]
Does not Work!!!
Content source: hyunny88/study
Similar notebooks: