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b13b10a8fa
As per request from Vision team, adding `collate` function with an extra argument of `collate_fn_map` to dispatch custom collate functions for non-collection objects and specific objects. If the type of batch element is not present in`collate_fn_map`, it will go through all keys in the insertion order to check if the type is a subclass of the key. If so, it will invoke the corresponding collate functions. And, `default_collate` will utilize the `collate` function with a few by default collate function for `int`, `float`, `str` and `numpy object`. Benefit: - Domain teams can register their own `collate` function to handle their specific type of objects - Easier for users to extend from the `collate` function. Pull Request resolved: https://github.com/pytorch/pytorch/pull/85748 Approved by: https://github.com/NivekT, https://github.com/pmeier |
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| community | ||
| elastic | ||
| notes | ||
| rpc | ||
| scripts | ||
| amp.rst | ||
| autograd.rst | ||
| backends.rst | ||
| benchmark_utils.rst | ||
| bottleneck.rst | ||
| checkpoint.rst | ||
| complex_numbers.rst | ||
| conf.py | ||
| config_mod.rst | ||
| cpp_extension.rst | ||
| cpp_index.rst | ||
| cuda._sanitizer.rst | ||
| cuda.rst | ||
| cudnn_persistent_rnn.rst | ||
| cudnn_rnn_determinism.rst | ||
| data.rst | ||
| ddp_comm_hooks.rst | ||
| deploy.rst | ||
| distributed.algorithms.join.rst | ||
| distributed.elastic.rst | ||
| distributed.optim.rst | ||
| distributed.rst | ||
| distributions.rst | ||
| dlpack.rst | ||
| docutils.conf | ||
| fft.rst | ||
| fsdp.rst | ||
| futures.rst | ||
| fx.rst | ||
| hub.rst | ||
| index.rst | ||
| jit_builtin_functions.rst | ||
| jit_language_reference_v2.rst | ||
| jit_language_reference.rst | ||
| jit_python_reference.rst | ||
| jit_unsupported.rst | ||
| jit_utils.rst | ||
| jit.rst | ||
| library.rst | ||
| linalg.rst | ||
| masked.rst | ||
| math-quantizer-equation.png | ||
| mobile_optimizer.rst | ||
| model_zoo.rst | ||
| monitor.rst | ||
| multiprocessing.rst | ||
| name_inference.rst | ||
| named_tensor.rst | ||
| nested.rst | ||
| nn.functional.rst | ||
| nn.init.rst | ||
| nn.rst | ||
| onnx_supported_aten_ops.rst | ||
| onnx.rst | ||
| optim.rst | ||
| package.rst | ||
| pipeline.rst | ||
| profiler.rst | ||
| quantization-accuracy-debugging.rst | ||
| quantization-backend-configuration.rst | ||
| quantization-support.rst | ||
| quantization.rst | ||
| random.rst | ||
| rpc.rst | ||
| sparse.rst | ||
| special.rst | ||
| storage.rst | ||
| tensor_attributes.rst | ||
| tensor_view.rst | ||
| tensorboard.rst | ||
| tensors.rst | ||
| testing.rst | ||
| torch.ao.ns._numeric_suite_fx.rst | ||
| torch.ao.ns._numeric_suite.rst | ||
| torch.overrides.rst | ||
| torch.rst | ||
| type_info.rst | ||
