QuantizedGru

Applies a multi-layer quantized GRU RNN to an input sequence.

Abstract Signature:

QuantizedGru(data: Tensor, batch_sizes: Tensor, hx: Tensor, params: List[Tensor], has_biases: bool, num_layers: int, dropout: float, train: bool, bidirectional: bool)

PyTorchJAX (Core)KerasTensorFlowApple MLXFlax NNX

PyTorch

API: torch.quantized_gru

Strategy: Direct Mapping

Official Docs ↗

JAX (Core)

API: —

Strategy: Custom / Partial

Keras

API: —

Strategy: Custom / Partial

TensorFlow

API: —

Strategy: Custom / Partial

Apple MLX

API: —

Strategy: Custom / Partial

Flax NNX

API: —

Strategy: Custom / Partial