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Searched refs:batchSize (Results 1 – 11 of 11) sorted by relevance

/ohos5.0/foundation/multimedia/camera_framework/services/camera_service/src/avcodec/
H A Daudio_deferred_process.cpp133 …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 Dcloud_media_asset_download_operation.h116 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 Dcloud_media_asset_download_operation.cpp288 …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.md20 - x,一个4维tensor,tensor排布必须是[batchSize,height,width,channels](NHWC)。
H A D_resize_v20.md14 - 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.md618 …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…
640batchSize, 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…
650batchSize, 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.md618 …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…
640batchSize, 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…
650batchSize, 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 Drender_preprocessor_system.cpp532 if (const auto batchSize = pos - it; batchSize == 1U) { in Update() local
H A Drender_system.cpp1658 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 DNodeAttrTypes.idl1294 * * <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.md618 …h element in the input cannot be less than 0. The input layout must be [batchSize, height, width, …
640batchSize, height, width, channels].<br>Parameters:<br>- **blockSize**: size of the block to be co…
650batchSize, 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…
679batchSize, height, width, channels].<br>Parameters:<br>- **blockSize**: size of the block to be co…