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  /external/tensorflow/tensorflow/core/kernels/
nn_ops_test.cc 121 // We set up a graph for computing convolution.
175 // Now add the convolution op
515 // We set up a graph for computing convolution.
565 // Now add the convolution op
    [all...]
mkl_aggregate_ops.cc 169 // Execute convolution
  /device/google/contexthub/firmware/os/cpu/cortexm4/inc/cpu/cmsis/
arm_math.h     [all...]
  /external/eigen/unsupported/Eigen/CXX11/src/Tensor/
README.md     [all...]
  /external/tensorflow/tensorflow/contrib/slim/
README.md 175 3. Adding the biases to the result of the convolution.
314 It should be clear that these three convolution layers share many of the same
357 the padding argument has been set to 'SAME', the second convolution overrides
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  /external/ImageMagick/ImageMagick/script/
conjure.html 424 <td>apply a convolution kernel to the image. Given a kernel "order" , you would supply "order*order" float values (e.g. 3x3 implies 9 values).</td>
497 <td>enhance edges within the image with a convolution filter of the given radius.</td>
503 <td>emboss the image with a convolution filter of the given radius and standard deviation (sigma).</td>
539 <td>apply a convolution kernel to the image.</td>
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  /external/ImageMagick/utilities/
convert.1 153 apply a convolution kernel to the image
magick-script.1 131 apply a convolution kernel to the image
magick-script.1.in 131 apply a convolution kernel to the image
magick.1 128 apply a convolution kernel to the image
magick.1.in 128 apply a convolution kernel to the image
mogrify.1 151 apply a convolution kernel to the image
mogrify.1.in 151 apply a convolution kernel to the image
  /external/ImageMagick/www/
conjure.html 428 <td>apply a convolution kernel to the image. Given a kernel "order" , you would supply "order*order" float values (e.g. 3x3 implies 9 values).</td>
501 <td>enhance edges within the image with a convolution filter of the given radius.</td>
507 <td>emboss the image with a convolution filter of the given radius and standard deviation (sigma).</td>
543 <td>apply a convolution kernel to the image.</td>
    [all...]
  /external/eigen/bench/tensors/
tensor_benchmarks.h 417 void convolution(int num_iters, int kernel_x, int kernel_y) { function in class:BenchmarkSuite
  /external/opencv/cv/include/
cv.hpp 138 /* pointers to convolution functions, initialized by init method.
  /external/opencv/cv/src/
cvsnakes.cpp 112 /* inner buffer of convolution process */
  /external/python/cpython3/Modules/_decimal/libmpdec/
umodarith.h 39 used in the fast convolution functions for very large coefficients. */
  /external/speex/libspeex/
cb_search.c 67 /* Compute codeword response using convolution with impulse response */
  /external/tensorflow/tensorflow/compiler/xla/service/
user_computation.h 132 // Enqueues a convolution instruction onto this user computation.
  /external/tensorflow/tensorflow/contrib/eager/python/examples/resnet50/
resnet50.py 105 strides: strides for the convolution. Note that from stage 3, the first
  /external/tensorflow/tensorflow/contrib/lite/python/
op_hint.py 203 axis on a reduction, strides on a convolution, etc.
  /external/tensorflow/tensorflow/contrib/lite/schema/
upgrade_schema.py 217 "CONVOLUTION": "CONV_2D",
  /external/tensorflow/tensorflow/contrib/slim/python/slim/nets/
inception_v1.py 377 use_batch_norm: "If `True`, batch_norm is applied after each convolution.
  /external/tensorflow/tensorflow/python/keras/_impl/keras/applications/
inception_resnet_v2.py 341 # Final convolution block: 8 x 8 x 1536

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