| /external/tensorflow/tensorflow/compiler/xla/service/gpu/ |
| ir_emitter_unnested.cc | 312 Status IrEmitterUnnested::HandleConvolution(HloInstruction* convolution) {
313 thunk_sequence_->emplace_back(BuildKernelThunk(convolution));
314 return IrEmitter::HandleConvolution(convolution);
[all...] |
| /external/tensorflow/tensorflow/go/op/ |
| wrappers.go | [all...] |
| /external/ImageMagick/MagickCore/ |
| effect.c | 819 % ConvolveImage() applies a custom convolution kernel to the image.
[all...] |
| /external/ImageMagick/ImageMagick/script/ |
| advanced-unix-installation.html | 230 Certain ImageMagick algorithms, for example convolution, can achieve a significant speed-up with the assistance of the OpenMP API when running on modern dual and quad-core processors.</td>
[all...] |
| porting.html | 417 <p>By default, image operations such as convolution blends alpha with each channel. To convolve each channel independently, deactivate the alpha channel as follows:</p>
[all...] |
| convert.html | 360 <td>apply a convolution kernel to the image</td>
[all...] |
| mogrify.html | 349 <td>apply a convolution kernel to the image</td>
[all...] |
| /external/ImageMagick/Magick++/lib/ |
| STL.cpp | 569 // The number of neighbor pixels to be included in the convolution
[all...] |
| /external/ImageMagick/www/ |
| porting.html | 422 <p>By default, image operations such as convolution blends alpha with each channel. To convolve each channel independently, deactivate the alpha channel as follows:</p>
[all...] |
| advanced-unix-installation.html | 234 Certain ImageMagick algorithms, for example convolution, can achieve a significant speed-up with the assistance of the OpenMP API when running on modern dual and quad-core processors.</td>
[all...] |
| convert.html | 364 <td>apply a convolution kernel to the image</td>
[all...] |
| magick-script.html | 330 <td>apply a convolution kernel to the image</td>
[all...] |
| /external/opencv/ml/include/ |
| ml.h | [all...] |
| /external/tensorflow/tensorflow/core/grappler/optimizers/ |
| arithmetic_optimizer.cc | 732 // Fold a multiply of a scalar into the following convolution. This folding
[all...] |
| /prebuilts/ndk/r16/sources/third_party/shaderc/third_party/glslang/SPIRV/ |
| SPVRemapper.cpp | 671 // We essentially perform a little convolution around each instruction,
[all...] |
| /external/ImageMagick/www/Magick++/ |
| STL.html | [all...] |
| /external/mesa3d/docs/ |
| VERSIONS | [all...] |
| /external/opencv/cv/src/ |
| cvfilter.cpp | [all...] |
| /external/tensorflow/tensorflow/compiler/tests/ |
| randomized_tests.cc | 310 // Choose spatial dimensions for a windowed op such as pooling or convolution.
313 // Builds dimensions for a windowed op such as pooling or convolution,
[all...] |
| /external/tensorflow/tensorflow/compiler/xla/service/ |
| algebraic_simplifier_test.cc | [all...] |
| /external/tensorflow/tensorflow/compiler/xla/tools/parser/ |
| hlo_parser.cc | [all...] |
| /frameworks/av/media/libstagefright/codecs/amrwbenc/src/ |
| voAMRWBEnc.c | 833 Scale_sig_opt(h1, L_SUBFR, 1 + shift); /* set h1[] in Q15 with scaling for convolution */
837 Scale_sig(h1, L_SUBFR, 1 + shift); /* set h1[] in Q15 with scaling for convolution */
[all...] |
| /frameworks/ml/nn/runtime/include/ |
| NeuralNetworks.h | 229 * Performs an 2-D convolution operation.
315 * Performs a depthwise 2-D convolution operation.
[all...] |
| /hardware/interfaces/neuralnetworks/1.0/ |
| types.hal | 205 * Performs an 2-D convolution operation.
291 * Performs a depthwise 2-D convolution operation.
[all...] |
| /external/ImageMagick/Magick++/lib/Magick++/ |
| STL.h | 587 // The number of neighbor pixels to be included in the convolution
[all...] |
