[pytorch][size] remove unused SparseCPUType from mobile build

[ljk53]

Stack from ghstack:

• [pytorch][size] remove unused SparseCPUType from mobile build #33517 [pytorch][size] remove unused SparseCPUType from mobile build

I don't think any mobile model uses SparseCPU backend yet so we can skip
generating dispatch code for this backend type.

This will help reduce mobile code size with dynamic dispatch turned on,
roughly ~100K for uncompressed iOS: D19616007 +413K v.s. D19616016 +319K.

It probably doesn't affect much static dispatch build size as the unused
static dispatch methods will be stripped by linker in the end.

Differential Revision: D19978633

NOTE FOR REVIEWERS: This PR has internal Facebook specific changes or comments, please review them on Phabricator!

[dr-ci]

💊 CircleCI build failures summary and remediations

As of commit 7408719:

• 1/1 failures introduced in this PR

Detailed failure analysis

One may explore the probable reasons each build failed interactively on the Dr. CI website.

🕵️ 1 new failure recognized by patterns

The following build failures do not appear to be due to upstream breakage:

pytorch_linux_backward_compatibility_check_test (1/1)

Step: "Test" (full log | pattern match details)

Feb 20 19:48:52 The PR is introducing backward incompatible changes to the operator library. Please contact PyTorch team to confirm whether this change is wanted or not.

Feb 20 19:48:52 processing existing schema:  aten::values(Tensor(a) self) -> (Tensor(a)) 
Feb 20 19:48:52 processing existing schema:  aten::values(Dict(str, t) self) -> (t[](*)) 
Feb 20 19:48:52 processing existing schema:  aten::values(Dict(int, t) self) -> (t[](*)) 
Feb 20 19:48:52 processing existing schema:  aten::values(Dict(float, t) self) -> (t[](*)) 
Feb 20 19:48:52 processing existing schema:  aten::values(Dict(Tensor, t) self) -> (t[](*)) 
Feb 20 19:48:52 processing existing schema:  aten::view(Tensor(a) self, int[] size) -> (Tensor(a)) 
Feb 20 19:48:52 processing existing schema:  aten::where(Tensor condition) -> (Tensor[]) 
Feb 20 19:48:52 processing existing schema:  aten::where.self(Tensor condition, Tensor self, Tensor other) -> (Tensor) 
Feb 20 19:48:52 processing existing schema:  aten::zeros_like(Tensor self, *, int? memory_format=None) -> (Tensor) 
Feb 20 19:48:52 processing existing schema:  aten::zeros_like.dtype(Tensor self, *, int dtype, int layout, Device device, bool pin_memory=False, int? memory_format=None) -> (Tensor) 
Feb 20 19:48:52 The PR is introducing backward incompatible changes to the operator library. Please contact PyTorch team to confirm whether this change is wanted or not.  
Feb 20 19:48:52  
Feb 20 19:48:52 Broken ops: [ 
Feb 20 19:48:52 	aten::tril_indices(int row, int col, int offset=0, *, int? dtype=4, int? layout=None, Device? device=None, bool? pin_memory=None) -> (Tensor) 
Feb 20 19:48:52 	aten::triu_indices(int row, int col, int offset=0, *, int? dtype=4, int? layout=None, Device? device=None, bool? pin_memory=None) -> (Tensor) 
Feb 20 19:48:52 ] 
Feb 20 19:48:52 + cleanup 
Feb 20 19:48:52 + retcode=1 
Feb 20 19:48:52 + set +x 
Feb 20 19:48:52 =================== sccache compilation log =================== 
Feb 20 19:48:52 =========== If your build fails, please take a look at the log above for possible reasons =========== 

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[facebook-github-bot]

This pull request has been merged in 009293e.