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TensorRT support layer
Layers And Features — The section lists the supported TensorRT layers and each of ... Supports broadcast indicates support for broadcast in this layer.
Adding Custom Layers Using The C++ API — All of these base classes include versioning support and help enable custom layers that support other data ...

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Jul 9, 2019 — I know there's a webpage for supported layers/ops: https://docs.nvidia.com/deeplearning/sdk/tensorrt-support-matrix/index.html ...
This embedded input is then supplied to a RNN layer containing two stacked LSTM cells. ... Supported types are RNN, GRU, and LSTM.
Define layer outputs · Restrict supported I/O format and data type · Store information for layer execution · Serialize and deserialize the engine · Implement ...
This sample, samplePlugin, defines a custom layer that supports multiple data formats and demonstrates how to serialize/deserialize plugin layers.
TENSORRT LAYERS. Built-in Layer Support. Custom Layer API. CUDA Runtime. Deployed Application. TensorRT Runtime. Custom Layer ...
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Example 1: Adding A Custom Layer to a TensorRT Network Using Python. ... more innovative layers that are not supported out-of-the-box by TensorRT.
LRN: cross-channel only. • Fully-connected: with or without bias. • SoftMax: cross-channel only. • Deconvolution. Supported layers ...
TOPICS. • Intro to AI. • Deep Learning Intro. • NVIDIA's DIGITS. • Autoencoding Enhancement. • TensorRT ... Deconvolution. Layers Types Supported ...

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