AdaptiveAveragePooling1D

Adaptive average pooling operation for 1D temporal or spatial data.

Abstract Signature:

AdaptiveAveragePooling1D(output_size: Union[int, Tuple[int]], data_format: str)

PyTorchJAX (Core)KerasTensorFlowApple MLXFlax NNXPaxML / Praxis

PyTorch

API: torch.nn.AdaptiveAvgPool1d

Strategy: Direct Mapping

Official Docs ↗

JAX (Core)

API: —

Strategy: Custom / Partial

Keras

API: keras.layers.AdaptiveAveragePooling1D

Strategy: Direct Mapping

Official Docs ↗

TensorFlow

API: tf.keras.layers.AdaptiveAveragePooling1D

Strategy: Direct Mapping

Official Docs ↗

Apple MLX

API: —

Strategy: Custom / Partial

Flax NNX

API: —

Strategy: Custom / Partial

PaxML / Praxis

API: —

Strategy: Custom / Partial