onnxruntime/js/common/lib
shalvamist c10a6a9d17
Tensor <--> image - Adding per channel compute for Norm mean & Bias (#14705)
### Description
Enabled the use of per channel Bias and Mean normalization when converting an image <--> tensor.
Added a few bug fixes and updates to the relevant E2E tests.

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Co-authored-by: shalvamist <shalva.mist@microsoft.com>
2023-05-01 09:37:50 -07:00
..
backend-impl.ts [js/web] add 'xnnpack' to EP list (#12723) 2022-10-03 10:38:45 -07:00
backend.ts [js/api] add typedoc and revise comments (#9077) 2021-09-20 17:54:46 -07:00
env-impl.ts [js/web] WebGPU backend via JSEP (#14579) 2023-04-24 15:21:18 -07:00
env.ts [js/web] WebGPU backend via JSEP (#14579) 2023-04-24 15:21:18 -07:00
index.ts [js/api] add typedoc and revise comments (#9077) 2021-09-20 17:54:46 -07:00
inference-session-impl.ts
inference-session.ts [js/web] support flag 'optimizedModelFilePath' in session options (#14355) 2023-02-24 15:50:15 -08:00
onnx-value.ts
tensor-impl.ts Tensor <--> image - Adding per channel compute for Norm mean & Bias (#14705) 2023-05-01 09:37:50 -07:00
tensor-utils.ts Tensor <--> image - Adding per channel compute for Norm mean & Bias (#14705) 2023-05-01 09:37:50 -07:00
tensor.ts Tensor <--> image - Adding per channel compute for Norm mean & Bias (#14705) 2023-05-01 09:37:50 -07:00