AdaptiveMaxPool1d

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

Abstract Signature:

AdaptiveMaxPool1d(input: Tensor, output_size: int)

PyTorchJAX (Core)KerasTensorFlowApple MLX

PyTorch

API: torch.adaptive_max_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='nearest')'

Keras

API: keras.layers.GlobalMaxPooling1D

Strategy: Direct Mapping

Official Docs ↗

TensorFlow

API: tf.keras.layers.GlobalMaxPooling1D

Strategy: Direct Mapping

Official Docs ↗

Apple MLX

API: —

Strategy: Custom / Partial