mahout
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apache
Mirror of Apache Mahout
### Summary - Extend encode_numpy() to support 2D arrays - Add non-contiguous array handling - Memory optimization If anything important is missing, please leave a comment.
### Summary This issue asks the ability to detect and handle PyTorch tensors, focusing on cpu tensors. - add PyTorch tensor detection utilities - add tensor validation - add cpu...
### Summary This issue asks to have documentation for NumPy input support , extend test coverage and provide examples.
### Summary This issue asks advanced TensorFlow-specific features like distributed strategy support, graph mode handling, optimizations for various TF scenarios, tests,and documentation with examples. - distributed strategy support - batch...
### Summary This issue asks GPU tensor support using dlpack protocol (TF 2.5+) and handles TensorFlow's device placement system. - extend encode_tf_tensor() to handle GPU tensors - add DLPack extraction...
### Summary This issue asks the ability to detect and handle TensorFlow eager tensors (TF 2.x +), focusing on tensor type detection, device identification, and CPU tensor conversion. This establishes...
### Summary This issue asks a advanced features like gradient tracking support, optimizations for various tensor scenarios, and documentation with examples. - batch processing enhancements - tests - examples If...
### Summary This issue asks gpu tensor support using dlpack protocol for zero-copy data transfer. This is critical for training loop performance where tensors are already on gpu. - extend...
### Summary This PR adds infrastructure and basic NumPy array input support for single sample encoding. It includes dependency setup, error types, and the core encode_numpy() method for 1D arrays....