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  /external/tensorflow/tensorflow/compiler/xla/service/
transpose_folding_test.cc 48 [](const HloInstruction& convolution,
213 // Test that a two dimension swap of the kernel gets folded into convolution.
248 // Instructions after folding: x, y, and the convolution.
266 // Test that a complex transpose of the kernel gets folded into convolution.
301 // Instructions after folding: x, y, and the convolution.
325 // Test that a transpose of the activations gets folded into convolution.
359 // Instructions after folding: x, y, and the convolution.
389 // convolution.
423 // Instructions after folding: x, y, and the convolution.
  /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/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);
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  /external/tensorflow/tensorflow/python/ops/
nn_ops.py 61 This is used to implement the more generic `convolution` function, which
140 raise ValueError("Rank of convolution must be known")
329 filter_shape: If padding = "SAME", specifies the shape of the convolution
447 # Padding required to reduce to "VALID" convolution
606 This is used by `convolution` and `pool`.
646 @tf_export("nn.convolution")
647 def convolution( function
659 or atrous convolution (also known as convolution with holes or dilated
660 convolution, based on the French word "trous" meaning holes in English) vi
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  /external/ImageMagick/www/api/
morphology.php 59 <p>AcquireKernelInfo() takes the given string (generally supplied by the user) and converts it into a Morphology/Convolution Kernel. This allows users to specify a kernel from a number of pre-defined kernels, or to fully specify their own kernel for a specific Convolution or Morphology Operation.</p>
101 <dd>the Morphology/Convolution kernel wanted. </dd>
132 <dd> Convolution Kernels </dd>
162 <dd> Named Constant Convolution Kernels </dd>
170 <dd> Sobel:{angle} Sobel 'Edge' convolution kernel (3x3) | -1, 0, 1 | | -2, 0,-2 | | -1, 0, 1 | </dd>
172 <dd> Roberts:{angle} Roberts convolution kernel (3x3) | 0, 0, 0 | | -1, 1, 0 | | 0, 0, 0 | </dd>
174 <dd> Prewitt:{angle} Prewitt Edge convolution kernel (3x3) | -1, 0, 1 | | -1, 0, 1 | | -1, 0, 1 | </dd>
176 <dd> Compass:{angle} Prewitt's "Compass" convolution kernel (3x3) | -1, 1, 1 | | -1,-2, 1 | | -1, 1, 1 | </dd>
178 <dd> Kirsch:{angle} Kirsch's "Compass" convolution kernel (3x3) | -3,-3, 5 | | -3, 0, 5 | | -3,-3, 5 | </dd
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magick-image.php     [all...]
  /external/tensorflow/tensorflow/python/keras/_impl/keras/
backend.py     [all...]
  /external/tensorflow/tensorflow/go/op/
wrappers.go     [all...]

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