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https://github.com/intel/webml-polyfill/blob/master/docs/native_mapping.md
Need add the following ops into native mapping doc:
- TRANSPOSE
- BATCH_TO_SPACE_ND
- MAXIMUM
- TANH
- ARGMAX
- LO…
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When trying to integrate @BruceDai's latest refactored BaseRunner.js, the FPS drops 2 (9->7) in WebNN meeting (Deeplab 257 Atrous) on i7-6700 + Ubuntu desktop.
This issue also occurs on WebML SS Ex…
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It derives from [ANEURALNETWORKS_TENSOR_QUANT8_ASYMM_SIGNED](https://developer.android.com/ndk/reference/group/neural-networks#group___neural_networks_1ggaf06d1affd33f3bc698d0c04eceb23298a7a907ab82a02…
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Quantized with symmetric per channel quantization for the filter:
- `TENSOR_QUANT8_ASYMM` for input, and output.
- `TENSOR_QUANT8_SYMM_PER_CHANNEL` for filter.
- `TENSOR_INT32` for bias.
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Quantized signed with filter symmetric per channel quantization:
- `TENSOR_QUANT8_ASYMM_SIGNED` for input, and output.
- `TENSOR_QUANT8_SYMM_PER_CHANNEL` for filter.
- `TENSOR_INT32` for bias
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Quantized with symmetric per channel quantization for the filter:
- `TENSOR_QUANT8_ASYMM` for input, and output.
- `TENSOR_QUANT8_SYMM_PER_CHANNEL` for filter.
- `TENSOR_INT32` for bias.
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Quantized signed with filter symmetric per channel quantization:
- `TENSOR_QUANT8_ASYMM_SIGNED` for input, and output.
- `TENSOR_QUANT8_SYMM_PER_CHANNEL` for filter.
- `TENSOR_INT32` for bias
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The way we define `conv2d` today is sufficient for a typical usage of convolution. However, there are a couple variants of the convolution operation we should consider support.
1. **Grouped convol…
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We need to create an example Oak application that uses [TensorFlow Lite](https://www.tensorflow.org/lite/).
In order to do this we need to compile TensorFlow Lite in WebAssembly.
Currently we have…
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The existing example (https://github.com/intel/webml-polyfill/tree/master/examples/squeezenet) only supports ONNX SqueezeNet model for image classification. This task is to make the example more gener…