Tensorflow not detecting GPU

[riturajsoni]

I have installed Anaconda + tensor flow + CUDA on my system

1. Anaconda version installed : Anaconda3-4.2.0-Windows-x86_64
2. tensorflow for gpu is installed using pip install command.
3. Cuda version installed as: cuda_9.0.176_win10 and its patch is also installed
4. Then files from cudnn like bin, include, lib copied to installation path
5. The graphics card is NVIDIA GeForce 820M
6. but when I run simple python scsript

import tensorflow as tf
with tf.device('/gpu:0'):
a = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[2, 3], name='a')
b = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[3, 2], name='b')
c = tf.matmul(a, b)

with tf.Session() as sess:
print (sess.run(c))

This error appears:

runfile('C:/Users/rituraj/Desktop/New folder/check.py', wdir='C:/Users/rituraj/Desktop/New folder')
Traceback (most recent call last):

File "", line 1, in
runfile('C:/Users/rituraj/Desktop/New folder/check.py', wdir='C:/Users/rituraj/Desktop/New folder')

File "C:\Users\rituraj\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 866, in runfile
execfile(filename, namespace)

File "C:\Users\rituraj\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 102, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)

File "C:/Users/rituraj/Desktop/New folder/check.py", line 17, in
print (sess.run(c))

File "C:\Users\rituraj\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 895, in run
run_metadata_ptr)

File "C:\Users\rituraj\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1128, in _run
feed_dict_tensor, options, run_metadata)

File "C:\Users\rituraj\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1344, in _do_run
options, run_metadata)

File "C:\Users\rituraj\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1363, in _do_call
raise type(e)(node_def, op, message)

InvalidArgumentError: Cannot assign a device for operation 'MatMul_9': Operation was explicitly assigned to /device:GPU:0 but available devices are [ /job:localhost/replica:0/task:0/device:CPU:0 ]. Make sure the device specification refers to a valid device.
[[Node: MatMul_9 = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/device:GPU:0"](a_9, b_9)]]

Caused by op 'MatMul_9', defined at:
File "C:\Users\rituraj\Anaconda3\lib\site-packages\spyder\utils\ipython\start_kernel.py", line 223, in
main()
File "C:\Users\rituraj\Anaconda3\lib\site-packages\spyder\utils\ipython\start_kernel.py", line 219, in main
kernel.start()
File "C:\Users\rituraj\Anaconda3\lib\site-packages\ipykernel\kernelapp.py", line 474, in start
ioloop.IOLoop.instance().start()
File "C:\Users\rituraj\Anaconda3\lib\site-packages\zmq\eventloop\ioloop.py", line 162, in start
super(ZMQIOLoop, self).start()
File "C:\Users\rituraj\Anaconda3\lib\site-packages\tornado\ioloop.py", line 887, in start
handler_func(fd_obj, events)
File "C:\Users\rituraj\Anaconda3\lib\site-packages\tornado\stack_context.py", line 275, in null_wrapper
return fn(*args, **kwargs)
File "C:\Users\rituraj\Anaconda3\lib\site-packages\zmq\eventloop\zmqstream.py", line 440, in _handle_events
self._handle_recv()
File "C:\Users\rituraj\Anaconda3\lib\site-packages\zmq\eventloop\zmqstream.py", line 472, in _handle_recv
self._run_callback(callback, msg)
File "C:\Users\rituraj\Anaconda3\lib\site-packages\zmq\eventloop\zmqstream.py", line 414, in _run_callback
callback(*args, **kwargs)
File "C:\Users\rituraj\Anaconda3\lib\site-packages\tornado\stack_context.py", line 275, in null_wrapper
return fn(*args, **kwargs)
File "C:\Users\rituraj\Anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 276, in dispatcher
return self.dispatch_shell(stream, msg)
File "C:\Users\rituraj\Anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 228, in dispatch_shell
handler(stream, idents, msg)
File "C:\Users\rituraj\Anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 390, in execute_request
user_expressions, allow_stdin)
File "C:\Users\rituraj\Anaconda3\lib\site-packages\ipykernel\ipkernel.py", line 196, in do_execute
res = shell.run_cell(code, store_history=store_history, silent=silent)
File "C:\Users\rituraj\Anaconda3\lib\site-packages\ipykernel\zmqshell.py", line 501, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
File "C:\Users\rituraj\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2717, in run_cell
interactivity=interactivity, compiler=compiler, result=result)
File "C:\Users\rituraj\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2827, in run_ast_nodes
if self.run_code(code, result):
File "C:\Users\rituraj\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2881, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "", line 1, in
runfile('C:/Users/rituraj/Desktop/New folder/check.py', wdir='C:/Users/rituraj/Desktop/New folder')
File "C:\Users\rituraj\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 866, in runfile
execfile(filename, namespace)
File "C:\Users\rituraj\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 102, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)
File "C:/Users/rituraj/Desktop/New folder/check.py", line 12, in
b = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[3, 2], name='b')
File "C:\Users\rituraj\Anaconda3\lib\site-packages\tensorflow\python\ops\math_ops.py", line 2022, in matmul
a, b, transpose_a=transpose_a, transpose_b=transpose_b, name=name)
File "C:\Users\rituraj\Anaconda3\lib\site-packages\tensorflow\python\ops\gen_math_ops.py", line 2799, in _mat_mul
name=name)
File "C:\Users\rituraj\Anaconda3\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "C:\Users\rituraj\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 3160, in create_op
op_def=op_def)
File "C:\Users\rituraj\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 1625, in init
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access

InvalidArgumentError (see above for traceback): Cannot assign a device for operation 'MatMul_9': Operation was explicitly assigned to /device:GPU:0 but available devices are [ /job:localhost/replica:0/task:0/device:CPU:0 ]. Make sure the device specification refers to a valid device.
[[Node: MatMul_9 = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/device:GPU:0"](a_9, b_9)]]

It is not detecting the gpu.
Please suggest solution for it.