
DepthToSpace - ONNX 1.18.0 documentation
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 …
DepthToSpace — ONNX 1.12.0 documentation - GitHub Pages
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 = …
DepthToSpace — Python Runtime for ONNX - GitHub Pages
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], …
ONNX Model Deployment. What is ONNX? How to generate ONNX…
Nov 24, 2024 · How to perform graph surgery on ONNX. Because ONNX itself is a hierarchical design, this is actually a classic computer idea.
Make ONNX DepthToSpace op mode accessible #75748 - GitHub
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 …
[Spec] DepthToSpace mode attribute is counter-intuitive #6069 - GitHub
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 …
NNAPI (Android) - onnxruntime
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 …
DepthToSpace - ONNX 1.18.0 文档 - ONNX 开放神经网络交换
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/ …
ONNX | Home
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 …
请问DepthToSpace算子支持CRD模式吗 · Issue #I4RVRS - Gitee
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 …
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