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  /external/tensorflow/tensorflow/core/kernels/
conv_ops_3d.cc 155 // A dummy type to group forward convolution autotune results together.
resize_bicubic_op.cc 40 // convolution algorithm.
  /external/tensorflow/tensorflow/python/ops/
init_ops.py 661 # Assuming convolution kernels (2D, 3D, or more).
  /frameworks/av/media/libstagefright/codecs/amrnb/common/src/
residu.cpp 55 2. Performed 4 convolution per pass to avoid recalling the same
  /frameworks/av/media/libstagefright/codecs/amrwb/src/
phase_dispersion.cpp 222 /* circular convolution */
  /external/tensorflow/tensorflow/compiler/xla/service/
hlo_instruction.cc     [all...]
  /external/ImageMagick/ImageMagick/api/
Image++.html 647 convolution to the image. The <i>order_</i> parameter represents the
649 is a two-dimensional array of doubles representing the convolution
    [all...]
  /external/ImageMagick/www/Magick++/
Image++.html 613 convolution to the image. The <i>order_</i> parameter represents the
615 is a two-dimensional array of doubles representing the convolution
    [all...]
Image.html 613 convolution to the image. The <i>order_</i> parameter represents the
615 is a two-dimensional array of doubles representing the convolution
    [all...]
  /external/ImageMagick/www/api/
Image++.html 651 convolution to the image. The <i>order_</i> parameter represents the
653 is a two-dimensional array of doubles representing the convolution
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  /external/ImageMagick/MagickCore/
gem.c     [all...]
  /external/gemmlowp/test/
test.cc 731 // This test case comes from a set of 2 2x2 convolution filters run over a 3x3
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  /external/tensorflow/tensorflow/contrib/lite/nnapi/
NeuralNetworksShim.h 208 /** Performs an 2-D convolution operation.
261 /** Performs a depthwise 2-D convolution operation.
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  /external/tensorflow/tensorflow/contrib/lite/testing/
generate_examples.py     [all...]
  /external/tensorflow/tensorflow/core/grappler/optimizers/
arithmetic_optimizer_test.cc     [all...]
  /external/ImageMagick/ImageMagick/script/
perl-magick.html 592 <td>apply a convolution kernel to the image. Given a kernel <i>order</i> , you would supply <i>order*order</i> float values (e.g. 3x3 implies 9 values).</td>
671 <td>enhance edges within the image with a convolution filter of the given radius.</td>
677 <td>emboss the image with a convolution filter of the given radius and standard deviation (sigma).</td>
    [all...]
architecture.html     [all...]
  /external/ImageMagick/
Install-unix.txt 239 Certain ImageMagick algorithms, for example convolution, can achieve
  /external/ImageMagick/config/
francais.xml     [all...]
  /external/ImageMagick/www/
perl-magick.html 596 <td>apply a convolution kernel to the image. Given a kernel <i>order</i> , you would supply <i>order*order</i> float values (e.g. 3x3 implies 9 values).</td>
675 <td>enhance edges within the image with a convolution filter of the given radius.</td>
681 <td>emboss the image with a convolution filter of the given radius and standard deviation (sigma).</td>
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architecture.html     [all...]
  /external/ImageMagick/www/source/
francais.xml     [all...]
  /external/boringssl/src/crypto/fipsmodule/bn/asm/
x86-mont.pl 14 # performs Montgomery multiplication/convolution only on SSE2-capable
  /external/tensorflow/tensorflow/compiler/xla/service/gpu/
gpu_compiler.cc 234 // inputs/outputs of a cudnn convolution.
  /external/tensorflow/tensorflow/contrib/kfac/python/ops/
layer_collection.py 526 strides: 1-D Tensor of length 4. Strides for convolution kernel.

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