Created
September 18, 2015 09:47
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Show different convolution results between numpy and theano
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{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": 8, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [], | |
"source": [ | |
"import theano\n", | |
"import numpy\n", | |
"from theano.sandbox.cuda import dnn\n", | |
"import theano.tensor as T" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Define the input image x0:" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 3, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"x0 = numpy.array([[[[ 7.61323881, 0. , 0. , 0. ,\n", | |
" 0. , 0. ],\n", | |
" [ 25.58142853, 0. , 0. , 0. ,\n", | |
" 0. , 0. ],\n", | |
" [ 7.51445341, 0. , 0. , 0. ,\n", | |
" 0. , 0. ],\n", | |
" [ 0. , 12.74498367, 4.96315479, 0. ,\n", | |
" 0. , 0. ],\n", | |
" [ 0. , 0. , 0. , 0. ,\n", | |
" 0. , 0. ],\n", | |
" [ 0. , 0. , 0. , 0. ,\n", | |
" 0. , 0. ]]]], dtype='float32')" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 4, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"(1, 1, 6, 6)" | |
] | |
}, | |
"execution_count": 4, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"x0.shape" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Define the convolution kernel:" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 5, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"w0 = numpy.array([[[[-0.0015835 , -0.00088091, 0.00226375, 0.00378434, 0.00032208,\n", | |
" -0.00396959],\n", | |
" [-0.000179 , 0.00030951, 0.00113849, 0.00012536, -0.00017198,\n", | |
" -0.00318825],\n", | |
" [-0.00263921, -0.00383847, -0.00225416, -0.00250589, -0.00149073,\n", | |
" -0.00287099],\n", | |
" [-0.00149283, -0.00312137, -0.00431571, -0.00394508, -0.00165113,\n", | |
" -0.0012118 ],\n", | |
" [-0.00167376, -0.00169753, -0.00373235, -0.00337372, -0.00025546,\n", | |
" 0.00072154],\n", | |
" [-0.00141197, -0.00099017, -0.00091934, -0.00226817, -0.0024105 ,\n", | |
" -0.00333713]]]], dtype='float32')" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 6, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"(1, 1, 6, 6)" | |
] | |
}, | |
"execution_count": 6, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"w0.shape" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Caculate the convolution with theano and cudnn:" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 10, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"array([[[[-0.04749081]]]], dtype=float32)" | |
] | |
}, | |
"execution_count": 10, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"X = T.tensor4('input')\n", | |
"W = T.tensor4('W')\n", | |
"conv_out = dnn.dnn_conv(img=X, kerns=W)\n", | |
"convolution = theano.function([X, W], conv_out)\n", | |
"numpy.array(convolution(x0, w0))" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Calculate convolutoin with numpy (note the result is different):" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 14, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"-0.097668208" | |
] | |
}, | |
"execution_count": 14, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"numpy.sum(x0 * w0)" | |
] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "Python 3", | |
"language": "python", | |
"name": "python3" | |
}, | |
"language_info": { | |
"codemirror_mode": { | |
"name": "ipython", | |
"version": 3 | |
}, | |
"file_extension": ".py", | |
"mimetype": "text/x-python", | |
"name": "python", | |
"nbconvert_exporter": "python", | |
"pygments_lexer": "ipython3", | |
"version": "3.4.3" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 0 | |
} |
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