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post_processing_func=rounding_func,
File "/ root/miniconda3/envs/tvm-build-venv/lib/python3.7/site-packages/botorch/optim/optimize.py", line 208, in optimize_acqf equality_constraints=equality_constraints,
File "/ root/miniconda3/envs/tvm-build-venv/lib/python3.7/site-packages/botorch/optim/initializers.py", line 184, in gen_batch_initial_conditions
X_rndIstart_idx:end_idx]. to(device=device)
File "/root/miniconda3/envs/tvm-build-venv/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1194, in_call_impl return forward_call(*input, **kwargs)
File "/ root/miniconda3/envs/tvm-build-venv/lib/python3.7/site-packages/botorch/utils/transforms-py", line 270, in decorated return method (cls, X, **kwargs)
File "/root/miniconda3/envs/tvm-build-venv/lib/python3.7/site-packages/botorch/utils/transforms-py", line 229, in decorated
output = method (acqf, X, *args, **kwargs)
File "/root/miniconda3/envs/tvm-build-venv/lib/python3.7/site-packages/botorch/acquisition/multi_objective/monte_carlo.py", line 337, in forward
posterior = self.model. posterior (X)
"/root/miniconda3/envs/tvm-build-venv/lib/python3.7/site-packages/botorch/models/gpytorch.py", line 341, in posterior
mvn = self (X)
File "/root/miniconda3/envs/tvm-build-venv/lib/python3.7/site-packages/gpytorch/models/exact_gp.py", line 280, in _call
train_output = super ().call(*train_inputs, **kwargs)
File "/root/miniconda3/envs/tvm-build-venv/lib/python3.7/site-packages/gpytorch/module.py", line 30, in _call
outputs = self. forward (*inputs, **kwargs)
File "/root/miniconda3/envs/tvm-build-venv/lib/python3.7/site-packages/botorch/models/gp_regression.py", line 308, in forward
mean x = self.mean module (x)
Files" supertmean se/enVs/tun-build-venv/Lib/python3.7/site-packages/gpytorch/means/mean.py", Line 22, in call File "/root/miniconda3/envs/tvm-build-venv/lib/python3.7/site-packages/gpytorch/module.py", line 30, in call
outputs = self. forward (*inputs, **kwargs)
File "/root/miniconda3/envs/tvm-build-venv/lib/python3.7/site-packages/gpytorch/means/constant_mean.py", line 111, in forward return constant. expand (torch.broadcast_shapes (constant.shape, input. shapel:-11))
File "/root/miniconda3/envs/tvm-build-venv/lib/python3.7/site-packages/torch/functional.py", line 126, in broadcast_shapes raise RuntimeError("Shape mismatch: objects cannot be broadcast to a single shape")
RuntimeError: Shape mismatch: objects cannot be broadcast to a single shape
How to solve this problem ? Could you help me ?