Summary:
1. Let `ModuleTest` raise when they fail on non-contiguous inputs. Fix legacy modules.
2. Fix BN (both THNN and cuDNN) not working on non-contiguous inputs.
3. Fix CUDA EmbeddingBag not working on non-contiguous inputs. To prevent calling `.contiguous()` on in both `forward` and `backward`,
  a. prefix all current `embedding_bag*` functions with `_`, indicating that they require input to be contiguous (there is a check in each function).
  b. create `embedding_bag`, which makes input arguments `.contiguous()`, and calls `_embedding_bag`
3. Make many ATen `embedding*` functions to work on non-contiguous inputs so we don't need to call `input = input.contiguous()` in Python `nn.functional.embedding`.
4. Fix dense-sparse addition when the sparse input is not coalesced and indices or values tensor is not contiguous. This came up in the test cases of Embedding modules with `sparse=True`. Added tests.
5. Update `TensorUtils.cpp` to use `AT_*` macros.

Request:
review from cpuhrsch on the `Embedding*` changes.
review from ezyang on ATen sparse & BN changes.
Closes pytorch/pytorch#9114

Differential Revision: D8717299

Pulled By: SsnL

fbshipit-source-id: 0acc6f1c9522b5b605361e75112c16bbe1e98527

Summary:
1. Let `ModuleTest` raise when they fail on non-contiguous inputs. Fix legacy modules.
2. Fix BN (both THNN and cuDNN) not working on non-contiguous inputs.
3. Fix CUDA EmbeddingBag not working on non-contiguous inputs. To prevent calling `.contiguous()` on in both `forward` and `backward`,
  a. prefix all current `embedding_bag*` functions with `_`, indicating that they require input to be contiguous (there is a check in each function).
  b. create `embedding_bag`, which makes input arguments `.contiguous()`, and calls `_embedding_bag`
3. Make many ATen `embedding*` functions to work on non-contiguous inputs so we don't need to call `input = input.contiguous()` in Python `nn.functional.embedding`.
4. Fix dense-sparse addition when the sparse input is not coalesced and indices or values tensor is not contiguous. This came up in the test cases of Embedding modules with `sparse=True`. Added tests.
5. Update `TensorUtils.cpp` to use `AT_*` macros.

Request:
review from cpuhrsch on the `Embedding*` changes.
review from ezyang on ATen sparse & BN changes.
Closes pytorch/pytorch#9114

Differential Revision: D8717299

Pulled By: SsnL

fbshipit-source-id: 0acc6f1c9522b5b605361e75112c16bbe1e98527

Summary:
1. Let `ModuleTest` raise when they fail on non-contiguous inputs. Fix legacy modules.
2. Fix BN (both THNN and cuDNN) not working on non-contiguous inputs.
3. Fix CUDA EmbeddingBag not working on non-contiguous inputs. To prevent calling `.contiguous()` on in both `forward` and `backward`,
  a. prefix all current `embedding_bag*` functions with `_`, indicating that they require input to be contiguous (there is a check in each function).
  b. create `embedding_bag`, which makes input arguments `.contiguous()`, and calls `_embedding_bag`
3. Make many ATen `embedding*` functions to work on non-contiguous inputs so we don't need to call `input = input.contiguous()` in Python `nn.functional.embedding`.
4. Fix dense-sparse addition when the sparse input is not coalesced and indices or values tensor is not contiguous. This came up in the test cases of Embedding modules with `sparse=True`. Added tests.
5. Update `TensorUtils.cpp` to use `AT_*` macros.

Request:
review from cpuhrsch on the `Embedding*` changes.
review from ezyang on ATen sparse & BN changes.
Closes pytorch#9114

Differential Revision: D8717299

Pulled By: SsnL

fbshipit-source-id: 0acc6f1c9522b5b605361e75112c16bbe1e98527