AdaptiveAvgPool1d

Applies a 1D adaptive average pooling over an input signal.

Abstract Signature:

AdaptiveAvgPool1d(input: Tensor, output_size: int)

PyTorchJAX (Core)KerasTensorFlowApple MLXFlax NNX

PyTorch

API: torch.adaptive_avg_pool1d

Strategy: Direct Mapping

Official Docs ↗

JAX (Core)

API: jax.image.resize

Strategy: Macro 'jax.image.resize({input}, shape=(*{input}.shape[:-1], {output_size}), method='linear')'

Keras

API: keras.layers.GlobalAveragePooling1D

Strategy: Direct Mapping

Official Docs ↗

TensorFlow

API: tf.keras.layers.GlobalAveragePooling1D

Strategy: Direct Mapping

Official Docs ↗

Apple MLX

API: —

Strategy: Custom / Partial

Flax NNX

API: nnx.avg_pool

Strategy: Macro 'jax.image.resize({input}, shape=(*{input}.shape[:-1], {output_size}), method='linear')'