Remove unnecessary endpoint logic, rename collaborative to hivemind

docs/source-pytorch/common_usecases.rst

@@ -127,7 +127,7 @@ Customize and extend Lightning for things like custom hardware or distributed st
    :header: Train on multiple machines over the internet
    :description: Train on local machines or unreliable GPUs across the internet.
    :col_css: col-md-12
-   :button_link: strategies/collaborative_training
+   :button_link: strategies/hivemind
    :height: 100
 
 .. displayitem::

docs/source-pytorch/extensions/strategy.rst

@@ -77,7 +77,7 @@ The below table lists all relevant strategies available in Lightning with their
      - Strategy for training using the Bagua library, with advanced distributed training algorithms and system optimizations. :ref:`Learn more. <accelerators/gpu_intermediate:Bagua>`
    * - collaborative
      - :class:`~pytorch_lightning.strategies.HivemindStrategy`
-     - Strategy for training collaboratively on local machines or unreliable GPUs across the internet. :ref:`Learn more. <strategies/collaborative_training:Training on unreliable mixed GPUs across the internet>`
+     - Strategy for training collaboratively on local machines or unreliable GPUs across the internet. :ref:`Learn more. <strategies/hivemind:Training on unreliable mixed GPUs across the internet>`
    * - fsdp
      - :class:`~pytorch_lightning.strategies.DDPFullyShardedStrategy`
      - Strategy for Fully Sharded Data Parallel provided by FairScale. :ref:`Learn more. <advanced/model_parallel:Fully Sharded Training>`

docs/source-pytorch/index.rst

@@ -203,7 +203,7 @@ Current Lightning Users
    clouds/cluster
    Save and load model progress <common/checkpointing>
    Save memory with half-precision <common/precision>
-   Training over the internet <strategies/collaborative_training>
+   Training over the internet <strategies/hivemind>
    advanced/model_parallel
    clouds/cloud_training
    Train on single or multiple GPUs <accelerators/gpu>
@@ -248,7 +248,7 @@ Current Lightning Users
    Metrics <https://torchmetrics.readthedocs.io/en/stable/>
    Model <model/build_model.rst>
    Model Parallel <advanced/model_parallel>
-   Collaborative Training <strategies/collaborative_training>
+   Collaborative Training <strategies/hivemind>
    Plugins <extensions/plugins>
    Progress bar <common/progress_bar>
    Production <deploy/production_advanced>

docs/source-pytorch/strategies/collaborative_training.rst → docs/source-pytorch/strategies/hivemind.rst

@@ -1,4 +1,4 @@
-.. _collaborative_training:
+.. _hivemind:
 
 #####################################################
 Training on unreliable mixed GPUs across the internet
@@ -17,23 +17,23 @@ Training on unreliable mixed GPUs across the internet
    :header: 1: Training across multiple machines over the internet
    :description: Quick setup to start training on multiple machines.
    :col_css: col-md-4
-   :button_link: collaborative_training_basic.html
+   :button_link: hivemind_basic.html
    :height: 200
    :tag: basic
 
 .. displayitem::
    :header: 2: Speed up training by enabling under-the-hood optimizations
    :description: Learn which flags to use with the HivemindStrategy to speed up training.
    :col_css: col-md-4
-   :button_link: collaborative_training_intermediate.html
+   :button_link: hivemind_intermediate.html
    :height: 200
    :tag: intermediate
 
 .. displayitem::
    :header: 3: Optimize Memory and Communication using compression hooks
    :description: Enable gradient buffer optimizations and communication improvements to reduce bottlenecks in communication.
    :col_css: col-md-4
-   :button_link: collaborative_training_expert.html
+   :button_link: hivemind_expert.html
    :height: 200
    :tag: expert
 

docs/source-pytorch/strategies/collaborative_training_basic.rst → docs/source-pytorch/strategies/hivemind_basic.rst

@@ -1,6 +1,6 @@
 :orphan:
 
-.. _collaborative_training_basic:
+.. _hivemind_basic:
 
 Training on unreliable mixed GPUs across the internet (Basic)
 =============================================================

docs/source-pytorch/strategies/collaborative_training_expert.rst → docs/source-pytorch/strategies/hivemind_expert.rst

@@ -1,6 +1,6 @@
 :orphan:
 
-.. _collaborative_training_expert:
+.. _hivemind_expert:
 
 Training on unreliable mixed GPUs across the internet (Expert)
 ==============================================================

docs/source-pytorch/strategies/collaborative_training_intermediate.rst → docs/source-pytorch/strategies/hivemind_intermediate.rst

@@ -1,6 +1,6 @@
 :orphan:
 
-.. _collaborative_training_intermediate:
+.. _hivemind_intermediate:
 
 Training on unreliable mixed GPUs across the internet (Intermediate)
 ====================================================================

src/pytorch_lightning/CHANGELOG.md

@@ -44,6 +44,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Hivemind Strategy
     * Added `CollaborativeStrategy` ([#12842](https://github.com/PyTorchLightning/pytorch-lightning/pull/12842))
     * Renamed `CollaborativeStrategy` to `HivemindStrategy` ([#13388](https://github.com/PyTorchLightning/pytorch-lightning/pull/13388))
+    * Removed unnecessary endpoint logic, renamed `collaborative` to `hivemind` ([#13392](https://github.com/PyTorchLightning/pytorch-lightning/pull/13392))
 
 - Include a version suffix for new "last" checkpoints of later runs in the same directory ([#12902](https://github.com/PyTorchLightning/pytorch-lightning/pull/12902))
 

src/pytorch_lightning/strategies/__init__.py

@@ -12,14 +12,14 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 from pytorch_lightning.strategies.bagua import BaguaStrategy  # noqa: F401
-from pytorch_lightning.strategies.collaborative import HivemindStrategy  # noqa: F401
 from pytorch_lightning.strategies.ddp import DDPStrategy  # noqa: F401
 from pytorch_lightning.strategies.ddp2 import DDP2Strategy  # noqa: F401
 from pytorch_lightning.strategies.ddp_spawn import DDPSpawnStrategy  # noqa: F401
 from pytorch_lightning.strategies.deepspeed import DeepSpeedStrategy  # noqa: F401
 from pytorch_lightning.strategies.dp import DataParallelStrategy  # noqa: F401
 from pytorch_lightning.strategies.fully_sharded import DDPFullyShardedStrategy  # noqa: F401
 from pytorch_lightning.strategies.fully_sharded_native import DDPFullyShardedNativeStrategy  # noqa: F401
+from pytorch_lightning.strategies.hivemind import HivemindStrategy  # noqa: F401
 from pytorch_lightning.strategies.horovod import HorovodStrategy  # noqa: F401
 from pytorch_lightning.strategies.hpu_parallel import HPUParallelStrategy  # noqa: F401
 from pytorch_lightning.strategies.ipu import IPUStrategy  # noqa: F401