In the DCR mode, elements along the depth dimension from the input tensor are rearranged in the following order: depth, column, and then row. The output y is computed from the input x as below: b, c, h, w = x.shape

More specifically, this op outputs a copy of the input tensor where values from the depth dimension are moved in spatial blocks to the height and width dimensions. By default, mode = DCR. In the DCR mode, elements along the depth dimension from the input tensor are rearranged in the following order: depth, column, and then row.

mode: DCR (default) for depth-column-row order re-arrangement. Use CRD for column-row-depth order. Default value is 'DCR'. Inputs. input (heterogeneous) - T: Input tensor of [N,C,H,W], where N is the batch axis, C is the channel or depth, H is the height and W is the width. Outputs

Nov 24, 2024 · How to perform graph surgery on ONNX. Because ONNX itself is a hierarchical design, this is actually a classic computer idea.

Apr 13, 2022 · In the current implementation, the ONNX conversion uses mode_s='CRD' and there is no method to access this variable. It would be useful to access this during the conversion process (for example to change mode to 'DCR' if required).

Apr 7, 2024 · By default, mode = DCR. In the DCR mode, elements along the depth dimension from the input tensor are rearranged in the following order: depth, column, and then row. It is not wrong, but DepthToSpace and SpaceToDepth are manipulating the …

Accelerate ONNX models on Android devices with ONNX Runtime and the NNAPI execution provider. Android Neural Networks API (NNAPI) is a unified interface to CPU, GPU, and NN accelerators on Android. The NNAPI Execution Provider (EP) requires Android devices with Android 8.1 or higher.

DCR (默认值) 用于深度-列-行顺序重新排列。 使用 CRD 表示列-行-深度顺序。 输入张量 [N,C,H,W]，其中 N 是批次轴，C 是通道或深度，H 是高度，W 是宽度。 输出张量 [N, C/ (blocksize * blocksize), H * blocksize, W * blocksize]。 将输入和输出类型约束为所有张量类型。 此版本的算子已于 版本 11 发布。 DepthToSpace 将数据从深度重新排列（置换）到空间数据块中。 这是 SpaceToDepth 的逆变换。 更具体地说，此操作输出输入张量的副本，其中深度维度 …

ONNX is an open format built to represent machine learning models. ONNX defines a common set of operators - the building blocks of machine learning and deep learning models - and a common file format to enable AI developers to use models with a variety of frameworks, tools, runtimes, and compilers.

以模型训练相关代码提交为例，如果你提交的是模型训练代码，你可以这样评论： //train/model . 另外你还可以给这个Issue标记类型，例如是bugfix或者是特性需求： //kind/bug or //kind/feature . 恭喜你，你已经学会了使用命令来打标签，接下来就在下面的评论里打上标签吧！ 请问DepthToSpace算子支持CRD模式吗，【属性】blocksize：int，必选 指定被移动的块的大小mode： string 指定是depthcolumnrow还是columnrow...