| /external/tensorflow/tensorflow/core/kernels/ |
| quantize_down_and_shrink_range.cc | 66 // convolution operation can run efficiently.
|
| requantization_range_op.cc | 61 // convolution operation can run efficiently.
|
| conv_grad_ops.h | 212 // Information about a single spatial dimension for a convolution
227 // Computed dimensions for a backwards convolution.
|
| conv_ops_using_gemm.cc | 17 // convolution operation. The standard TensorFlow Conv2d kernel uses EigenTensor
25 // calculate the convolution. The simplest implementation of this functor is
35 // TensorFlow convolution kernel.
71 // This function implements the convolution operation in as simple a form as
205 // Implements convolution as a two stage process, first packing the patches of
462 // For 2D convolution, there should be 4 dimensions.
|
| /external/tensorflow/tensorflow/python/keras/_impl/keras/utils/ |
| conv_utils.py | 15 """Utilities used by convolution layers.
|
| /external/webrtc/webrtc/modules/audio_coding/codecs/ilbc/ |
| state_construct.c | 91 /* circular convolution with all-pass filter */
|
| /frameworks/av/media/libstagefright/codecs/amrwbenc/src/ |
| convolve.c | 20 Description:Perform the convolution between two vectors x[] and h[]
|
| /frameworks/rs/tests/java_api/ImageProcessing/src/com/android/rs/image/ |
| grain.rs | 25 * Convolution matrix of distance 2 with fixed point of 'kShiftBits' bits
|
| /frameworks/rs/tests/java_api/ImageProcessing2/src/com/android/rs/image/ |
| grain.rs | 25 * Convolution matrix of distance 2 with fixed point of 'kShiftBits' bits
|
| /frameworks/rs/tests/java_api/ImageProcessing_jb/src/com/android/rs/image/ |
| grain.rs | 25 * Convolution matrix of distance 2 with fixed point of 'kShiftBits' bits
|
| /system/chre/external/kiss_fft/ |
| kiss_fft.h | 20 -- a command-line utility to perform fast-convolution filtering
|
| /external/eigen/unsupported/Eigen/CXX11/src/Tensor/ |
| TensorTraits.h | 233 // Stride (S): The convolution stride is the offset between locations where we
247 // The output dimensions for convolution, when given all the parameters above,
|
| /external/python/cpython3/Modules/_decimal/libmpdec/ |
| fourstep.c | 188 /* An unordered transform is sufficient for convolution. */
218 /* An unordered transform is sufficient for convolution. */
|
| /external/tensorflow/tensorflow/compiler/xla/service/ |
| hlo.proto | 70 // Describes the window in a windowed operation such as convolution.
73 // Describes the dimension numbers used for a convolution.
|
| hlo_cost_analysis.cc | 381 Status HloCostAnalysis::HandleConvolution(const HloInstruction* convolution) {
382 auto rhs_instruction = convolution->operand(1);
383 const auto& dnums = convolution->convolution_dimension_numbers();
385 convolution->shape().dimensions(dnums.output_feature_dimension());
393 const int64 output_elements = ShapeUtil::ElementsIn(convolution->shape());
|
| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| vector_exponential_diag.py | 83 To see this last statement, note that the pdf of `Y_i` is the convolution of
86 are closed under convolution.
|
| /external/tensorflow/tensorflow/contrib/fused_conv/python/ops/ |
| fused_conv2d_bias_activation_op_test.py | 37 """Iterator for smaller versions of convolution shapes in 2015 Inception.
45 Tuple (input_size, filter_size, out_size, stride, padding), the convolution
168 """Verifies the output values of the convolution function.
180 filter_format: Filter format to use for the fused convolution.
236 conv_strides: [row_stride, col_stride] for the convolution;
570 """Calculates the size of an output dimension of a strided convolution.
579 stride: An `int` specifying the step size of the convolution along the
626 """Simulates the int8 fused 2-D convolution op using separate float ops.
[all...] |
| /external/tensorflow/tensorflow/contrib/specs/python/ |
| specs_ops.py | 125 """Depth-wise convolution + sigmoid (used after LSTM)."""
130 """Depth-wise convolution + softmax (used after LSTM)."""
|
| /external/tensorflow/tensorflow/compiler/xla/service/cpu/ |
| ir_emitter.cc | [all...] |
| /external/tensorflow/tensorflow/contrib/slim/python/slim/nets/ |
| inception_v2.py | 53 min_depth: Minimum depth value (number of channels) for all convolution ops.
57 for all convolution ops. The value must be greater than zero. Typical
99 # convolution. Must have
101 # so that the separable convolution is not overparameterized.
507 min_depth: Minimum depth value (number of channels) for all convolution ops.
511 for all convolution ops. The value must be greater than zero. Typical
|
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| depthwise_conv_op_test.py | 34 """Iterator for different convolution shapes, strides and paddings.
38 convolution parameters.
61 """Iterator for different convolution shapes, strides and paddings.
68 convolution parameters.
102 """Verifies the output values of the convolution function.
200 """Verifies the output values of the depthwise convolution function.
|
| /external/ImageMagick/MagickCore/ |
| morphology.c | 39 % Convolution (weighted sum or average) is just one specific type of
141 % user) and converts it into a Morphology/Convolution Kernel. This allows
143 % specify their own kernel for a specific Convolution or Morphology
210 % o kernel_string: the Morphology/Convolution kernel wanted.
583 % Convolution Kernels
649 % Named Constant Convolution Kernels
671 % Sobel 'Edge' convolution kernel (3x3)
677 % Roberts convolution kernel (3x3)
683 % Prewitt Edge convolution kernel (3x3)
689 % Prewitt's "Compass" convolution kernel (3x3
[all...] |
| /external/tensorflow/tensorflow/python/ops/ |
| nn_impl.py | 399 """Depthwise 2-D convolution.
418 convolution, in which case all values in the `strides` tensor must be equal
428 See the @{tf.nn.convolution$comment here}
430 across the `height` and `width` dimensions in atrous convolution. If it is
477 """2-D convolution with separable filters.
479 Performs a depthwise convolution that acts separately on channels followed by
480 a pointwise convolution that mixes channels. Note that this is separability
491 `strides` controls the strides for the depthwise convolution only, since
492 the pointwise convolution has implicit strides of `[1, 1, 1, 1]`. Must have
496 convolution, in which case all values in the `strides` tensor must be equa
[all...] |
| /external/tensorflow/tensorflow/compiler/xla/client/ |
| computation_builder.h | 351 // Default dimension numbers used for a 2D convolution.
361 // Creates a default ConvolutionDimensionNumbers. For a 2D convolution, for
377 // Enqueues a convolution instruction onto the computation, which uses the
378 // default convolution dimension numbers.
384 // Enqueues a convolution instruction onto the computation, with the caller
391 // Enqueues a convolution instruction onto the computation, with the caller
398 // Enqueues a convolution instruction onto the computation, with the caller
406 // Enqueues a convolution instruction onto the computation, with the caller
[all...] |
| /external/tensorflow/tensorflow/core/util/ |
| tensor_format.h | 28 // Tensor format for input/output activations used in convolution operations.
40 // int8 convolution and fused convolution. It is laid out in the same order
64 // int8 convolution and fused convolution. It is analagous to the NCHW_VECT_C
|
