| /external/tensorflow/tensorflow/core/kernels/ |
| deep_conv2d.cc | 45 // start of the DeepConv2D call, based on convolution parameters.
93 // Returns true if convolution can be computed efficiently by DeepConv2D,
100 // Check if convolution parameters are supported.
107 // Check if deep convolution is enabled by environment variable.
113 // Check if flop cost of deep convolution is less than direct convolution.
[all...] |
| depthwise_conv_grad_op.cc | 44 // Gradient operations for depthwise convolution.
377 "Depthwise convolution on CPU is only supported for NHWC format"));
521 // Kernel to compute the input backprop for depthwise convolution.
619 // Kernels to compute the gradients of the filters for depthwise convolution.
[all...] |
| xsmm_conv2d.cc | 43 // Returns true if convolution can be computed efficiently by XsmmConv2D,
438 "time for convolution (%i, %i, %i, %i, %i): %f, %f, %f, %f, %f, %f, %f, "
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| /external/tensorflow/tensorflow/compiler/xla/service/ |
| algebraic_simplifier.cc | 141 Status HandleConvolution(HloInstruction* convolution) override;
303 // Disable convolution simplication on platforms where it causes a slowdown.
[all...] |
| hlo_cost_analysis_test.cc | 186 TEST_F(HloCostAnalysisTest, Convolution) {
187 ComputationBuilder builder(client_, "convolution");
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| hlo_cost_analysis.h | 69 Status HandleConvolution(const HloInstruction* convolution) override;
|
| /external/skia/src/core/ |
| SkGpuBlurUtils.cpp | 323 // X convolution from reading garbage.
358 // convolution from reading garbage.
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| /external/skqp/src/core/ |
| SkGpuBlurUtils.cpp | 322 // X convolution from reading garbage.
357 // convolution from reading garbage.
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| /external/tensorflow/tensorflow/contrib/bayesflow/python/kernel_tests/ |
| layers_conv_variational_test.py | 240 convolution_op = nn_ops.Convolution(
301 convolution_op = nn_ops.Convolution(
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| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| vector_laplace_linear_operator.py | 103 To see this last statement, note that the pdf of `Y_i` is the convolution of
106 are closed under convolution.
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| /external/tensorflow/tensorflow/contrib/lite/g3doc/ |
| tf_ops_compatibility.md | 187 0: result of 2D convolution of the input tensor
205 0: result of a depthwise-2D convolution of the input tensor
|
| /external/tensorflow/tensorflow/contrib/lite/kernels/ |
| conv.cc | 137 // either change that or document that convolution requires it.
209 // convolution, it expects the filter weights to be transposed compared to
|
| /external/tensorflow/tensorflow/contrib/receptive_field/python/util/ |
| parse_layer_parameters.py | 70 """Computes kernel size given a TF convolution or pooling node.
100 """Computes padding size given a TF convolution or pooling node.
|
| /external/tensorflow/tensorflow/contrib/slim/python/slim/nets/ |
| resnet_v1.py | 97 rate: An integer, rate for atrous convolution.
172 include_root_block: If True, include the initial convolution followed by
|
| /external/tensorflow/tensorflow/docs_src/performance/ |
| quantization.md | 129 operations that are commonly used during inference. These include convolution,
212 like convolution or matrix multiplication which produce 32-bit accumulated
|
| /external/tensorflow/tensorflow/python/keras/layers/ |
| __init__.py | 35 # Convolution layers.
44 # Convolution layer aliases.
|
| /external/webrtc/webrtc/common_audio/resampler/ |
| sinc_resampler.cc | 54 // size. r1_ must be zero initialized to avoid convolution with garbage (see
316 // Figure out how much to weight each kernel's "convolution".
|
| /frameworks/av/media/libaudioprocessing/ |
| AudioResamplerFirProcess.h | 281 * @param sP is the positive half of the coefficients (as viewed by a convolution),
284 * @param sN is the negative half of the samples (as viewed by a convolution),
|
| /prebuilts/gcc/linux-x86/host/x86_64-linux-glibc2.15-4.8/x86_64-linux/include/c++/4.8/ext/ |
| algorithm | 539 * If @c {l,m,n} is some convolution of @p {a,b,c} such that @c l<=m<=n
573 * If @c {l,m,n} is some convolution of @p {a,b,c} such that @p comp(l,m)
|
| /prebuilts/gcc/linux-x86/host/x86_64-w64-mingw32-4.8/x86_64-w64-mingw32/include/c++/4.8.3/ext/ |
| algorithm | 539 * If @c {l,m,n} is some convolution of @p {a,b,c} such that @c l<=m<=n
573 * If @c {l,m,n} is some convolution of @p {a,b,c} such that @p comp(l,m)
|
| /external/gemmlowp/public/ |
| output_stages.h | 110 // quantized form. In particular, convolution-like operations
|
| /external/mesa3d/docs/relnotes/ |
| 3.5 | 67 Adds image convolution to glRead/Copy/DrawPixels/TexImage.
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| /external/tensorflow/tensorflow/compiler/xla/service/gpu/ |
| ir_emitter.cc | 600 Status IrEmitter::HandleConvolution(HloInstruction* convolution) {
601 if (ShapeUtil::HasZeroElements(convolution->shape())) {
605 // TODO(b/31409998): Support convolution with dilation.
607 "Hit a case for convolution that is not implemented on GPU.");
[all...] |
| ir_emitter_unnested.h | 65 Status HandleConvolution(HloInstruction* convolution) override;
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| /external/tensorflow/tensorflow/compiler/xla/ |
| xla_data.proto | 149 // beginning. This kind of padding, unlike padding in e.g. convolution, is not
374 // convolution.
379 // placed between each base area element. See documentation for convolution.
387 // Describes the windowing in an operation such as convolution.
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