QuantizedMaxPool2d

Applies a 2D max pooling over an input quantized tensor.

Abstract Signature:

QuantizedMaxPool2d(input: Tensor, kernel_size: Union[int, List[int]], stride: Union[int, List[int]] = [], padding: Union[int, List[int]] = 0, dilation: Union[int, List[int]] = 1, ceil_mode: bool = False)

PyTorchJAX (Core)KerasTensorFlowApple MLXFlax NNX

PyTorch

API: torch.quantized_max_pool2d

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