[Feature] Repalce the implementation of roiaware_pool3d with mlu-ops.

[ZhangLearning]

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Motivation

The motivation of the PR is to support running RoiawarePool3d with Cambricon MLU backend.

It includes three parts:

1. Delete roiaware_pool3d_mlu_kernel.mlu src code as MLU kernel.
2. Modify roiaware_pool3d_mlu_kernel.cpp to support launching kernel in PyTorch.

Modification

• MLU src code
  Delete MLU src code of RoiawarePool3d in directory mmcv/ops/csrc/common/mlu/roiaware_pool3d_mlu_kernel.mlu.
• PyTorch adaptation
  Modify RoiawarePool3d for PyTorch in mmcv/ops/csrc/pytorch/mlu/roiaware_pool3d_mlu_kernel.cpp.

BC-breaking (Optional)

Does the modification introduce changes that break the backward-compatibility of the downstream repositories?
If so, please describe how it breaks the compatibility and how the downstream projects should modify their code to keep compatibility with this PR.

Use cases (Optional)

If this PR introduces a new feature, it is better to list some use cases here, and update the documentation.

Checklist

Before PR:

• I have read and followed the workflow indicated in the CONTRIBUTING.md to create this PR.
• Pre-commit or linting tools indicated in CONTRIBUTING.md are used to fix the potential lint issues.
• Bug fixes are covered by unit tests, the case that causes the bug should be added in the unit tests.
• New functionalities are covered by complete unit tests. If not, please add more unit test to ensure the correctness.
• The documentation has been modified accordingly, including docstring or example tutorials.

After PR:

• If the modification has potential influence on downstream or other related projects, this PR should be tested with some of those projects, like MMDet or MMCls.
• CLA has been signed and all committers have signed the CLA in this PR.