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"# CS 20 : TensorFlow for Deep Learning Research\n",
"## Lecture 01 : Overview of Tensorflow"
]
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"metadata": {},
"source": [
"### Setup"
]
},
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"cell_type": "code",
"execution_count": 1,
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"outputs": [
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"name": "stdout",
"output_type": "stream",
"text": [
"1.12.0\n"
]
}
],
"source": [
"from __future__ import absolute_import, division, print_function\n",
"import numpy as np\n",
"import tensorflow as tf\n",
"\n",
"print(tf.__version__)\n",
"sess_config = tf.ConfigProto(gpu_options=tf.GPUOptions(allow_growth=True))"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
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"name": "stdout",
"output_type": "stream",
"text": [
"Tensor(\"Add:0\", shape=(), dtype=int32)\n"
]
}
],
"source": [
"a = tf.add(3, 5)\n",
"print(a)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"8\n"
]
}
],
"source": [
"sess = tf.Session(config = sess_config)\n",
"print(sess.run(a))\n",
"sess.close()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Tensor(\"Add:0\", shape=(), dtype=int32)\n",
"8\n"
]
}
],
"source": [
"with tf.Session(config = sess_config) as sess:\n",
" print(a)\n",
" print(sess.run(a))"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[<tf.Operation 'Add/x' type=Const>, <tf.Operation 'Add/y' type=Const>, <tf.Operation 'Add' type=Add>]\n"
]
}
],
"source": [
"print(tf.get_default_graph().get_operations())"
]
},
{
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"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
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"text": [
"15625 10\n"
]
}
],
"source": [
"tf.reset_default_graph()\n",
"\n",
"x, y = 2, 3\n",
"add_op = tf.add(x,y)\n",
"mul_op = tf.multiply(x,y)\n",
"useless = tf.multiply(x, add_op)\n",
"pow_op = tf.pow(add_op, mul_op)\n",
"with tf.Session(config = sess_config) as sess:\n",
" z, not_useless = sess.run([pow_op, useless])\n",
"print(z, not_useless)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[<tf.Operation 'Add/x' type=Const>, <tf.Operation 'Add/y' type=Const>, <tf.Operation 'Add' type=Add>, <tf.Operation 'Mul/x' type=Const>, <tf.Operation 'Mul/y' type=Const>, <tf.Operation 'Mul' type=Mul>, <tf.Operation 'Mul_1/x' type=Const>, <tf.Operation 'Mul_1' type=Mul>, <tf.Operation 'Pow' type=Pow>]\n"
]
}
],
"source": [
"print(tf.get_default_graph().get_operations())"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"ename": "RuntimeError",
"evalue": "The Session graph is empty. Add operations to the graph before calling run().",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mRuntimeError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-8-3cb1b3c3e0e6>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madd\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mtf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSession\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconfig\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msess_config\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0msess\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;31m# graph argument is none -> launch default graph\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msess\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;32m/usr/local/var/pyenv/versions/3.6.6/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, fetches, feed_dict, options, run_metadata)\u001b[0m\n\u001b[1;32m 927\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 928\u001b[0m result = self._run(None, fetches, feed_dict, options_ptr,\n\u001b[0;32m--> 929\u001b[0;31m run_metadata_ptr)\n\u001b[0m\u001b[1;32m 930\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mrun_metadata\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 931\u001b[0m \u001b[0mproto_data\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtf_session\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTF_GetBuffer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrun_metadata_ptr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/usr/local/var/pyenv/versions/3.6.6/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36m_run\u001b[0;34m(self, handle, fetches, feed_dict, options, run_metadata)\u001b[0m\n\u001b[1;32m 1075\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mRuntimeError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Attempted to use a closed Session.'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1076\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgraph\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mversion\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1077\u001b[0;31m raise RuntimeError('The Session graph is empty. Add operations to the '\n\u001b[0m\u001b[1;32m 1078\u001b[0m 'graph before calling run().')\n\u001b[1;32m 1079\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mRuntimeError\u001b[0m: The Session graph is empty. Add operations to the graph before calling run()."
]
}
],
"source": [
"tf.reset_default_graph()\n",
"\n",
"g = tf.Graph()\n",
"with g.as_default():\n",
" x = tf.add(3,5)\n",
"with tf.Session(config = sess_config) as sess: # graph argument is none -> launch default graph\n",
" print(sess.run(x))"
]
},
{
"cell_type": "code",
"execution_count": 9,
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"name": "stdout",
"output_type": "stream",
"text": [
"[<tf.Operation 'Add/x' type=Const>, <tf.Operation 'Add/y' type=Const>, <tf.Operation 'Add' type=Add>]\n"
]
}
],
"source": [
"print(g.get_operations())"
]
},
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"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[]\n"
]
}
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"source": [
"print(tf.get_default_graph().get_operations())"
]
}
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