[Relax][Training] Trainer API #115
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* Add gpu ci. * Update autotir gpu test.
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* Add gpu ci. * Update autotir gpu test.
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This PR brings a wrapper for relax training. The following things are done internally in this trainer: - Maintain (store/update) the parameters of the module. - Merge backbone and specified loss function together. - Build/Compile/Run the module. - Build/Compile/Run the optimizer. (using the same vm_config as we run the module.) And it also provides two interfaces for loading params/exporting params. Example: ``` trainer = Trainer(MLP, [1, 2], "main") # [1, 2] means input[1] and input[2] are parameters in this module. trainer.set_loss(MSELoss(reduction="sum"), pred_sinfo, pred_sinfo) trainer.set_vm_config(target="llvm") trainer.set_optimizer(optim_type=SGD, lr=0.001).setup() trainer.setup() trainer.rand_init_params() trainer.forward(*fwd_inputs) trainer.backward(*bwd_inputs) ```
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This PR brings a wrapper for relax training. The following things are done internally in this trainer:
And it also provides two interfaces for loading params/exporting params.
Example: