[static runtime] port c2 argmin kernel (#63632)

[static runtime] port c2 argmin kernel (#63632)

Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/63632

Local benchmarking with 1 input repeated 10k iter on 290331537_4 local net. Reduces argmin runtime by about 80% and and local net execution by about ~0.71-0.77ms.

Before:
```
I0826 17:25:53.972786 1104614 PyTorchPredictorBenchLib.cpp:313] PyTorch run finished. Milliseconds per iter: 7.37599. Iters per second: 135.57
```
```
Static runtime ms per iter: 8.22086. Iters per second: 121.642
Time per node type:
        4.13527 ms.    50.9157%. fb::sigrid_transforms_torch_bind (1 nodes, out variant)
       0.868506 ms.    10.6935%. aten::argmin (1 nodes, out variant)
...
```

After:
```
I0826 17:17:54.165174 1064079 PyTorchPredictorBenchLib.cpp:313] PyTorch run finished. Milliseconds per iter: 6.66724. Iters per second: 149.987
```
```
Static runtime ms per iter: 7.68172. Iters per second: 130.179
Time per node type:
         4.1452 ms.    54.0612%. fb::sigrid_transforms_torch_bind (1 nodes, out variant)
       0.656778 ms.    8.56562%. fb::quantized_linear (8 nodes)
       0.488229 ms.    6.36741%. static_runtime::to_copy (827 nodes, out variant)
       0.372678 ms.    4.86042%. aten::argmin (1 nodes, out variant)
...Time per node type:
        3.39387 ms.    53.5467%. fb::sigrid_transforms_torch_bind (1 nodes, out variant)
       0.636216 ms.    10.0379%. fb::quantized_linear (8 nodes, out variant)
       0.410535 ms.    6.47721%. fb::clip_ranges_to_gather_to_offsets (304 nodes, out variant)
       0.212721 ms.     3.3562%. fb::clip_ranges_gather_sigrid_hash_precompute_v3 (157 nodes, out variant)
       0.173736 ms.    2.74111%. aten::matmul (1 nodes, out variant)
       0.150514 ms.    2.37474%. aten::argmin (1 nodes, out variant)
```
P447422384

Test Plan:
Test with local replayer sending traffic to `ansha_perf_test_0819.test`, and compare outputs to jit interpreter.

Start compute tier:
```
RUN_UUID=ansha_perf_test_0819.test.storage JOB_EXPIRE_TIME=864000 MODEL_ID=290331537_4 PREDICTOR_TAG= PREDICTOR_VERSION=405 PREDICTOR_TYPE=CPU ADDITIONAL_FLAGS="--enable_disagg_file_split=true --enable_adx=false --load_remote_file_locally=true --pytorch_predictor_static_runtime_whitelist_by_id=290331537" GFLAGS_CONFIG_PATH=sigrid/predictor/gflags/predictor_gflags_ads_perf_cpu_pyper SMC_TIER_NAME=sigrid.predictor.perf.ansha_per_test_0819.test.storage CLUSTER=tsp_rva ENTITLEMENT_NAME=ads_ranking_infra_test_t6 PREDICTOR_LOCAL_DIRECTORY= ICET_CONFIG_PATH= NNPI_COMPILATION_CONFIG_FILE= NUM_TASKS=1 NNPI_NUM_WORKERS=0 tw job start /data/users/ansha/fbsource/fbcode/tupperware/config/admarket/sigrid/predictor/predictor_perf_canary.tw
```

Start nnpi tier:
```
RUN_UUID=ansha_perf_test_0819.test JOB_EXPIRE_TIME=247200 MODEL_ID=290331537_4 PREDICTOR_TAG= PREDICTOR_VERSION=343 PREDICTOR_TYPE=NNPI_TWSHARED ADDITIONAL_FLAGS="--torch_glow_min_fusion_group_size=30 --pytorch_storage_tier_replayer_sr_connection_options=overall_timeout:1000000,processing_timeout:1000000 --predictor_storage_smc_tier=sigrid.predictor.perf.ansha_perf_test_0819.test.storage --pytorch_predictor_static_runtime_whitelist_by_id=290331537" GFLAGS_CONFIG_PATH=sigrid/predictor/gflags/predictor_gflags_ads_perf_glow_nnpi_pyper_v1 SMC_TIER_NAME=sigrid.predictor.perf.ansha_perf_test_0819.test CLUSTER=tsp_rva ENTITLEMENT_NAME=ads_ranking_infra_test_t17 PREDICTOR_LOCAL_DIRECTORY= ICET_CONFIG_PATH= NNPI_COMPILATION_CONFIG_FILE= NUM_TASKS=1 NNPI_NUM_WORKERS=0 tw job start /data/users/ansha/fbsource/fbcode/tupperware/config/admarket/sigrid/predictor/predictor_perf_canary.tw
```

```buck test caffe2/benchmarks/static_runtime:static_runtime_cpptest -- StaticRuntime.IndividualOps_Argmin --print-passing-details```

Compared outputs to jit interpreter to check for no differences greater than 1e-3 (with nnc on) https://www.internalfb.com/intern/diff/view-version/136824794/

Reviewed By: hlu1

Differential Revision: D30445635

fbshipit-source-id: 048de8867ac72f764132295d1ebfa843cde2fa27