[Relax][Pass] Lowering passes for GPU IPC memory and allreduce #16759
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This PR introduces the lowering passes for GPU IPC memory and all-reduce. It contains the following changes: 1. a pass `IPCAllreduceRewrite` which rewrites `"runtime.disco.allreduce"` to `"runtime.disco.cuda_ipc.custom_allreduce"`, and rewrites the storage scopes of the all-reduce inputs's from "global" to "ipc_memory" accordingly. 2. memory planning enhancement, making the planning be aware of storage scopes. So each storage scope will be planned independently. 3. a pass `LowerGPUIPCAllocStorage` that rewrites the storage allocation of IPC memory from builtin ops to calls to function `"runtime.disco.cuda_ipc.alloc_storage"`. 4. supports the op `relax.builtin.alloc_tensor` with storage scope. The default storage scope is `"global"`. We write the new passes in Python for experiment and fast development. These are good demos showing we can have efficient development with the architecture enabled by TVM.
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…e#16759) This PR introduces the lowering passes for GPU IPC memory and all-reduce. It contains the following changes: 1. a pass `IPCAllreduceRewrite` which rewrites `"runtime.disco.allreduce"` to `"runtime.disco.cuda_ipc.custom_allreduce"`, and rewrites the storage scopes of the all-reduce inputs's from "global" to "ipc_memory" accordingly. 2. memory planning enhancement, making the planning be aware of storage scopes. So each storage scope will be planned independently. 3. a pass `LowerGPUIPCAllocStorage` that rewrites the storage allocation of IPC memory from builtin ops to calls to function `"runtime.disco.cuda_ipc.alloc_storage"`. 4. supports the op `relax.builtin.alloc_tensor` with storage scope. The default storage scope is `"global"`. We write the new passes in Python for experiment and fast development. These are good demos showing we can have efficient development with the architecture enabled by TVM.
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This PR introduces the lowering passes for GPU IPC memory and all-reduce. It contains the following changes:
a pass
IPCAllreduceRewritewhich rewrites"runtime.disco.allreduce"to"runtime.disco.cuda_ipc.custom_allreduce", and rewrites the storage scopes of the all-reduce inputs's from "global" to "ipc_memory" accordingly.memory planning enhancement, making the planning be aware of storage scopes. So each storage scope will be planned independently.
a pass
LowerGPUIPCAllocStoragethat rewrites the storage allocation of IPC memory from builtin ops to calls to function"runtime.disco.cuda_ipc.alloc_storage".supports the op
relax.builtin.alloc_tensorwith storage scope. The default storage scope is"global".We write the new passes in Python for experiment and fast development. These are good demos showing we can have efficient development with the architecture enabled by TVM.