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/external/webrtc/docs/native-code/rtp-hdrext/video-layers-allocation00/
DREADME.md19 This extension support temporal layers, multiple spatial layers sent on a single
20 rtp stream (SVC), or independent spatial layers sent on multiple rtp streams
36 // per spatial layer | | | | |
43 // 5 bytes per spatial layer + width-1 for +
61 otherwise. 4 bits, thus allows up to 4 spatial layers per RTP streams.
68 layers. Values are stored in ascending order of spatial id. Zero-padded to byte
72 temporal layer. Values are stored in (RTP stream id, spatial id, temporal id)
75 spatial layers, in full-svc all lower spatial layers are included. All lower
80 rate 8-bit per spatial layer per RTP stream. Values are stored in (RTP stream
81 id, spatial id) ascending order.
/external/tensorflow/tensorflow/core/util/
Dtensor_format_test.cc50 int spatial(int spatial_index) const { return spatial_dim[spatial_index]; } in spatial() function
62 int spatial(int spatial_index) const { return spatial_dim[spatial_index]; } in spatial() function
183 EXPECT_EQ(GetTensorSpatialDimIndex(num_dims, format, i), tdm.spatial(i)); in RunDimensionIndexesTest()
185 tdm.spatial(i)); in RunDimensionIndexesTest()
200 fdm.spatial(i)); in RunDimensionIndexesTest()
202 fdm.spatial(i)); in RunDimensionIndexesTest()
Dtensor_format.h523 gtl::ArraySlice<int64_t> spatial, in ShapeFromFormat() argument
525 const int dims = GetTensorDimsFromSpatialDims(spatial.size(), format); in ShapeFromFormat()
528 for (int dim = 0; static_cast<size_t>(dim) < spatial.size(); dim++) { in ShapeFromFormat()
529 auto dim_size = spatial[dim]; in ShapeFromFormat()
531 static_cast<size_t>(dim) == spatial.size() - 1) { in ShapeFromFormat()
557 gtl::ArraySlice<int64_t> spatial, in ShapeFromFilterTensorFormat() argument
559 const int dims = GetFilterTensorDimsFromSpatialDims(spatial.size(), format); in ShapeFromFilterTensorFormat()
562 for (int dim = 0; static_cast<size_t>(dim) < spatial.size(); dim++) { in ShapeFromFilterTensorFormat()
563 dim_sizes[GetFilterTensorSpatialDimIndex(dims, format, dim)] = spatial[dim]; in ShapeFromFilterTensorFormat()
/external/webrtc/modules/video_coding/svc/
Dsvc_rate_allocator.cc183 layers.spatial = config.num_spatial_layers; in GetNumLayers()
189 layers.spatial = codec.VP9().numberOfSpatialLayers; in GetNumLayers()
193 layers.spatial = 1; in GetNumLayers()
204 RTC_DCHECK_GT(num_layers_.spatial, 0); in SvcRateAllocator()
205 RTC_DCHECK_LE(num_layers_.spatial, kMaxSpatialLayers); in SvcRateAllocator()
208 for (size_t layer_idx = 0; layer_idx < num_layers_.spatial; ++layer_idx) { in SvcRateAllocator()
239 GetActiveSpatialLayers(codec_, num_layers_.spatial); in Allocate()
410 GetActiveSpatialLayers(codec, num_layers.spatial); in GetMaxBitrate()
440 GetActiveSpatialLayers(codec, num_layers.spatial); in GetLayerStartBitrates()
Dsvc_rate_allocator.h40 size_t spatial = 1; member
/external/tensorflow/tensorflow/core/api_def/base_api/
Dapi_def_SpaceToBatchND.pbtxt21 `i + 1`, which corresponds to spatial dimension `i`. It is required that
27 This operation divides "spatial" dimensions `[1, ..., M]` of the input into a
29 "batch" dimension (0) such that in the output, the spatial dimensions
31 dimension combines both the position within a spatial block and the original
32 batch position. Prior to division into blocks, the spatial dimensions of the
Dapi_def_BatchToSpace.pbtxt16 how many elements to crop from the intermediate result across the spatial
98 Rearranges (permutes) data from batch into blocks of spatial data, followed by
101 dimension are moved in spatial blocks to the `height` and `width` dimensions,
Dapi_def_SpaceToBatch.pbtxt13 the padding of the input with zeros across the spatial dimensions as follows:
17 The effective spatial dimensions of the zero-padded input tensor will be:
27 Zero-pads and then rearranges (permutes) blocks of spatial data into batch.
Dapi_def_BatchToSpaceND.pbtxt21 dimension `i + 1`, which corresponds to spatial dimension `i`. It is
134 the spatial dimensions `[1, ..., M]`, to obtain a result with the same rank as
135 the input. The spatial dimensions of this intermediate result are then
Dapi_def_DepthToSpace.pbtxt6 The size of the spatial block, same as in Space2Depth.
11 Rearranges data from depth into blocks of spatial data.
14 dimension are moved in spatial blocks to the `height` and `width` dimensions.
Dapi_def_SpaceToDepth.pbtxt6 The size of the spatial block.
11 Rearranges blocks of spatial data, into depth. More specifically,
Dapi_def_DataFormatVecPermute.pbtxt34 non-spatial dimensions are omitted (i.e `N`, `C`).
Dapi_def_FusedPadConv2D.pbtxt39 implementation where the spatial padding transformation stage is fused with the
/external/tensorflow/tensorflow/compiler/xla/stream_executor/
Ddnn.cc522 std::string spatial; in ToString() local
524 absl::StrAppendFormat(&spatial, "%d ", spatial_size()[i]); in ToString()
529 count(), feature_map_count(), spatial, value_min_, value_max_, in ToString()
540 std::string spatial = "s"; in ToShortString() local
542 absl::StrAppendFormat(&spatial, "%d ", spatial_size()[i]); in ToShortString()
555 return absl::StrCat(spatial, depth, batch, suffix); in ToShortString()
557 return absl::StrCat(spatial, batch, depth, suffix); in ToShortString()
559 return absl::StrCat(batch, spatial, depth, suffix); in ToShortString()
561 return absl::StrCat(batch, depth, spatial, suffix); in ToShortString()
564 return absl::StrCat(batch, depth, spatial, suffix, "(VECT_C)"); in ToShortString()
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/external/tensorflow/tensorflow/compiler/mlir/tensorflow/tests/
Dlayout_optimization_to_nhwc.mlir19 // Padding in spatial dimension (NCHW)
22 // Reduce over spatial dimensions (NCHW)
29 // Pad spatial dimensions.
150 // Reduce spatial dimensions
153 // Mean should compute reduction over NHWC spatial dimensions.
Dlayout_optimization_layout_assignment_gpu_cc_70.mlir9 // cuDNN prefers NCHW data format for spatial convolutions.
36 // Striding in spatial dimensions does not allow to use GEMM.
/external/tensorflow/tensorflow/compiler/xla/mlir_hlo/stablehlo/dialect/
DStablehloAttrs.td187 // Default value: one for each of the spatial dimension.
189 // Default value: two zeros for each of the spatial dimension.
191 // Default value: one for each of the spatial dimension.
193 // Default value: one for each of the spatial dimension.
195 // Default value: false for each of the spatial dimension.
/external/libmpeg2/common/arm/
Dideint_spatial_filter_a9.s24 @* This file contains definitions of routines for spatial filter
40 @* @brief Performs spatial filtering
43 @* This functions performs edge adaptive spatial filtering on a 8x8 block
/external/tensorflow/tensorflow/compiler/xla/mlir_hlo/include/mlir-hlo/Dialect/mhlo/IR/
Dhlo_ops_base.td221 // Default value: one for each of the spatial dimension.
223 // Default value: two zeros for each of the spatial dimension.
225 // Default value: one for each of the spatial dimension.
227 // Default value: one for each of the spatial dimension.
229 // Default value: false for each of the spatial dimension.
/external/pytorch/test/
Dtest_jit_llga_fuser.py139 …for [spatial, in_channels, out_channels, kernel, padding, stride, dilation, g, bias] in itertools.…
159 x = torch.rand(1, in_channels * g, spatial, spatial)
194 for [spatial, kernel, padding, stride, dilation, ceil_mode] in itertools.product(
208 x = torch.rand(1, 4, spatial, spatial)
215 for [spatial, kernel, padding, stride, ceil_mode, count_include_pad] in itertools.product(
229 x = torch.rand(1, 4, spatial, spatial)
/external/webrtc/modules/video_coding/g3doc/
Dindex.md66 WebRTC supports temporal scalability for `VP8`, `VP9` and `AV1`, and spatial
75 transmission in a multiway call), spatial scalability with inter-layer
78 simulcast generally provides better coding efficiency for the upper spatial
79 layers. The `K-SVC` concept, where spatial inter-layer dependencies are only
82 compromise between full spatial scalability and simulcast.
114 * [`SvcRateAllocator`][svcrateallocator] - bitrate allocation to different spatial and temporal
/external/libaom/doc/
DAlgorithmDescription.md196 Motion vectors are predicted by neighboring blocks which can be either spatial
203 There are two sets of spatial neighboring blocks that can be utilized for
204 finding spatial MV predictors, including the adjacent spatial neighbors which
205 are direct top and left neighbors of the current block, and second outer spatial
207 two sets of spatial neighboring blocks are illustrated in an example shown in
214 For each set of spatial neighbors, the top row will be checked from left to
216 adjacent spatial neighbors, an additional top-right block will be also checked
217 after checking the left column neighboring blocks. For the non-adjacent spatial
222 after that, the non-adjacent spatial neighboring blocks will be checked.
225 non-adjacent spatial neighbors are not used for deriving the MV predictor.
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/external/ComputeLibrary/src/core/CL/cl_kernels/common/
Dreshape_layer.cl46 * @param[in] input_shape Input spatial shape
47 * @param[in] output_shape Output spatial shape
/external/tensorflow/tensorflow/compiler/xla/mlir_hlo/stablehlo/tests/
Dverify_conv.mlir58 // Valid: Empty spatial dimensions
140 …// expected-error@+1 {{expects the same size for input, kernel and output spatial-dimensions, but …
157 …// expected-error@+1 {{expects the same size for input, kernel and output spatial-dimensions, but …
175 …// expected-error@+1 {{expects the same size for input, kernel and output spatial-dimensions, but …
736 // Dynamic input-spatial-dimension
793 // Dynamic kernel-spatial-dimension
/external/tensorflow/tensorflow/compiler/xla/mlir_hlo/tests/Dialect/mhlo/
Dverifier_conv_op.mlir58 // Valid: Empty spatial dimensions
140 …// expected-error@+1 {{expects the same size for input, kernel and output spatial-dimensions, but …
157 …// expected-error@+1 {{expects the same size for input, kernel and output spatial-dimensions, but …
175 …// expected-error@+1 {{expects the same size for input, kernel and output spatial-dimensions, but …
736 // Dynamic input-spatial-dimension
793 // Dynamic kernel-spatial-dimension

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