/ohos5.0/foundation/multimedia/camera_framework/services/camera_service/src/avcodec/ |
H A D | audio_deferred_process.cpp | 133 …Records = [this, &processedRecords, &rawArr, &processedArr](uint32_t i, uint32_t batchSize)->void { in Process() argument 137 for (uint32_t j = 0; j < batchSize; ++ j) { in Process() 141 processedRecords[i - batchSize + 1 + j]->SetAudioBuffer(temp); in Process()
|
/ohos5.0/foundation/multimedia/media_library/frameworks/services/media_cloud_sync/include/media_cloud_asset_download/ |
H A D | cloud_media_asset_download_operation.h | 116 void StartFileCacheFailed(const int64_t batchNum, const int64_t batchSize); 117 void StartBatchDownload(const int64_t batchNum, const int64_t batchSize);
|
/ohos5.0/foundation/multimedia/media_library/frameworks/services/media_cloud_sync/src/media_cloud_asset_download/ |
H A D | cloud_media_asset_download_operation.cpp | 288 …dMediaAssetDownloadOperation::StartFileCacheFailed(const int64_t batchNum, const int64_t batchSize) in StartFileCacheFailed() argument 308 …oudMediaAssetDownloadOperation::StartBatchDownload(const int64_t batchNum, const int64_t batchSize) in StartBatchDownload() argument 310 std::thread([this, batchNum, batchSize]() { in StartBatchDownload() 317 StartFileCacheFailed(batchNum, batchSize); in StartBatchDownload()
|
/ohos5.0/docs/zh-cn/device-dev/reference/hdi-apis/nnrt/ |
H A D | _resize_v10.md | 20 - x,一个4维tensor,tensor排布必须是[batchSize,height,width,channels](NHWC)。
|
H A D | _resize_v20.md | 14 - x,一个4维tensor,tensor排布必须是[batchSize,height,width,channels](NHWC)。
|
/ohos5.0/docs/zh-cn/application-dev/reference/apis-neural-network-runtime-kit/ |
H A D | _neural_network_runtime.md | 618 …给定的参数对input进行变形。<br/>输入:<br/>- input,四维输入张量,input中的每个元素不能小于0。input排布必须是[batchSize,height,width,cha… 640 …batchSize, height, width, channels]。<br/>参数:<br/>- blockSize,指定转换的块大小,必须是整数。<br/>- mode,指定转换的方式,0表… 650 …batchSize, inputSize]。<br/>- wIh,输入到隐藏层的权重参数,形状为[numDirections\*numLayers, 4\*hiddenSize, inputSiz… 670 …> | 对输入张量的每个元素做指数运算,然后将运算结果进行归一化处理,最终得到一个概率分布向量。<br/>输入:<br/>- 2维张量,形状为[batchSize,numClasses],数据类型… 679 …支持NHWC,形状为[batchSize, height, width, channels]。<br/>参数:<br/>- blockSize,指定转换的块大小,必须是整数。<br/>输出:<br…
|
H A D | _neural_nework_runtime.md | 618 …给定的参数对input进行变形。<br/>输入:<br/>- input,四维输入张量,input中的每个元素不能小于0。input排布必须是[batchSize,height,width,cha… 640 …batchSize, height, width, channels]。<br/>参数:<br/>- blockSize,指定转换的块大小,必须是整数。<br/>- mode,指定转换的方式,0表… 650 …batchSize, inputSize]。<br/>- wIh,输入到隐藏层的权重参数,形状为[numDirections\*numLayers, 4\*hiddenSize, inputSiz… 670 …> | 对输入张量的每个元素做指数运算,然后将运算结果进行归一化处理,最终得到一个概率分布向量。<br/>输入:<br/>- 2维张量,形状为[batchSize,numClasses],数据类型… 679 …支持NHWC,形状为[batchSize, height, width, channels]。<br/>参数:<br/>- blockSize,指定转换的块大小,必须是整数。<br/>输出:<br…
|
/ohos5.0/foundation/graphic/graphic_3d/lume/Lume_3D/src/ecs/systems/ |
H A D | render_preprocessor_system.cpp | 532 if (const auto batchSize = pos - it; batchSize == 1U) { in Update() local
|
H A D | render_system.cpp | 1658 if (const auto batchSize = currentIndex - batchStartIndex; batchSize) { in ProcessRenderables() local 1659 … ProcessRenderMeshBatch({ instancingAllowedEntities.data() + batchStartIndex, batchSize }); in ProcessRenderables() 1670 if (const auto batchSize = currentIndex - batchStartIndex; batchSize) { in ProcessRenderables() local 1671 … ProcessRenderMeshBatch({ instancingAllowedEntities.data() + batchStartIndex, batchSize }); in ProcessRenderables()
|
/ohos5.0/drivers/interface/nnrt/v2_1/ |
H A D | NodeAttrTypes.idl | 1294 * * <b>input</b>, input tensor, shape is [seqLen, batchSize, inputSize]. 1301 …* * <b>hiddenState</b>, init state of hidden-layer, shape is [numDirections * numLayers, batchSize… 1302 …* * <b>cellState</b>, init state of cell, shape is [numDirections * numLayers, batchSize, hiddenSi… 1307 * shape is [seqLen, batchSize, numDirections * realHiddenSize]. 1309 * shape is [numDirections * numLayers, batchSize, realHiddenSize]. 1311 * shape is [numDirections * numLayers, batchSize, hiddenSize]. 1892 * * <b>x</b>, a 4D tensor in the [batchSize, height, width, channels] (NHWC) format.
|
/ohos5.0/docs/en/application-dev/reference/apis-neural-network-runtime-kit/ |
H A D | _neural_network_runtime.md | 618 …h element in the input cannot be less than 0. The input layout must be [batchSize, height, width, … 640 …batchSize, height, width, channels].<br>Parameters:<br>- **blockSize**: size of the block to be co… 650 …batchSize, inputSize].<br>- **wIh**: weight from the input to the hidden layer. The shape is [numD… 670 …istribution vector.<br>Input:<br>- **input**: 2D tensor whose shape is [batchSize, numClasses] and… 679 …batchSize, height, width, channels].<br>Parameters:<br>- **blockSize**: size of the block to be co…
|