| /external/tensorflow/tensorflow/stream_executor/cuda/ |
| cuda_dnn.cc | 312 LOG(FATAL) << "Unsupported Cudnn convolution forward algorithm: "
335 << "Unsupported Cudnn convolution backward algorithm for data: "
357 << "Unsupported Cudnn convolution backward algorithm for filter: "
608 // Turns a ConvolutionDescriptor structure into a cudnn convolution handle
619 LOG(FATAL) << "could not create cudnn convolution descriptor: "
646 // NOTE(keveman): cuDNN supports convolution and cross correlation.
652 LOG(FATAL) << "could not set cudnn convolution descriptor: "
668 LOG(FATAL) << "could not set cudnn convolution math type: "
679 LOG(ERROR) << "could not destroy cudnn convolution descriptor: "
[all...] |
| /external/tensorflow/tensorflow/compiler/xla/ |
| reference_util_test.cc | 35 // TODO(b/23829238): Currently missing tests for the convolution routine.
332 // Set the convolution dimension numbers.
388 // Set the convolution dimension numbers.
|
| /external/tensorflow/tensorflow/contrib/slim/python/slim/nets/ |
| resnet_v2.py | 91 rate: An integer, rate for atrous convolution.
174 include_root_block: If True, include the initial convolution followed by
176 results of an activation-less convolution.
|
| /external/tensorflow/tensorflow/core/framework/ |
| common_shape_fns.h | 29 // For example, ignoring batches or multiple features, a 1D convolution
47 // The output dimensions for convolution and many other operations, when given
65 // For convolution, mathematically, the output value at location (r')
|
| /external/tensorflow/tensorflow/docs_src/tutorials/ |
| recurrent_quickdraw.md | 231 1. pass the input through to a series of convolution layers in
275 The desired number of convolution layers and the lengths of the filters is
292 # Add dropout layer if enabled and not first convolution layer.
|
| /external/tensorflow/tensorflow/python/keras/_impl/keras/applications/ |
| inception_v3.py | 72 num_row: height of the convolution kernel.
73 num_col: width of the convolution kernel.
77 for the convolution and `name + '_bn'` for the
|
| /external/tensorflow/tensorflow/python/keras/_impl/keras/ |
| backend.py | [all...] |
| /external/tensorflow/tensorflow/compiler/xla/service/ |
| hlo_verifier.cc | 75 Status ShapeVerifier::HandleConvolution(HloInstruction* convolution) {
79 convolution->operand(0)->shape(), convolution->operand(1)->shape(),
80 convolution->window(), convolution->convolution_dimension_numbers()));
81 return CheckShape(convolution, expected);
[all...] |
| hlo_instruction.h | 255 // Creates a convolution op, where rhs is the convolutional filter
[all...] |
| /external/tensorflow/tensorflow/core/kernels/ |
| conv_ops.cc | 69 // For 1x1 kernel, the 2D convolution is reduced to matrix
75 int conv_width = 1; // Width for the convolution step.
92 // the 2D convolution is reduced to matrix multiplication.
147 // Conditionally launches DeepConv operation based on convolution parameters.
311 // For 2D convolution, there should be 4 dimensions.
472 // A dummy type to group forward convolution autotune results together.
[all...] |
| /external/tensorflow/tensorflow/compiler/xla/service/gpu/ |
| gpu_layout_assignment.cc | 70 // cuDNN's convolution APIs support the BDYX layout for activations/output
148 // - Inputs to cudnn convolution require custom layouts handled in
|
| gpu_copy_insertion.cc | 82 // The last two arguments to a CUDNN convolution are two HLO constants for
|
| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| vector_exponential_linear_operator.py | 101 To see this last statement, note that the pdf of `Y_i` is the convolution of
104 are closed under convolution.
|
| vector_laplace_diag.py | 96 To see this last statement, note that the pdf of `Y_i` is the convolution of
99 are closed under convolution.
|
| /external/tensorflow/tensorflow/contrib/keras/api/keras/layers/ |
| __init__.py | 34 # Convolution layers.
42 # Convolution layer aliases.
|
| /external/tensorflow/tensorflow/python/ops/ |
| quantized_conv_ops_test.py | 36 """Verifies the output values of the convolution function.
127 # path for the convolution.
|
| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| layers.py | 60 'conv2d_in_plane', 'conv2d_transpose', 'conv3d_transpose', 'convolution',
918 def convolution(inputs, function
[all...] |
| /external/libopus/silk/ |
| NLSF2A.c | 115 /* generate even and odd polynomials using convolution */
|
| /external/libxcam/tests/ |
| test-image-deblurring.cpp | 70 //flip kernel to perform convolution
|
| /external/mesa3d/docs/relnotes/ |
| 6.5.1.html | 82 <li>fixed convolution memory leak (bug 7077)
|
| 6.5.3.html | 74 <li>1D convolution state could effect 2D image transfers
|
| /external/opencv/cv/src/ |
| _cvimgproc.h | 51 /* performs convolution of 2d floating-point array with 3x1, 1x3 or separable 3x3 mask */
|
| /external/python/cpython3/Modules/_decimal/libmpdec/ |
| README.txt | 54 convolute.{c,h} -> Fast convolution using one of the three transform
|
| convolute.c | 41 /* Bignum: Fast convolution using the Number Theoretic Transform. Used for
|
| /external/speex/libspeex/ |
| cb_search_arm4.h | 52 /* Compute codeword response using convolution with impulse response */
|
