build: manually update PyTorch version

Set PyTorch and TorchVision version to nightly release 2023-02-07.
Fixes https://github.com/llvm/torch-mlir/issues/1792.

Signed-Off By: Vivek Khandelwal <vivek@nod-labs.com>

e2e_testing/xfail_sets.py

@@ -86,8 +86,6 @@ TORCHDYNAMO_XFAIL_SET = {
     # error: unsupported by backend contract: tensor with unknown rank
     # note: see current operation: %1 = "torch.tensor_static_info_cast"(%arg0) : (!torch.vtensor<[5,4,3,2,1],f32>) -> !torch.vtensor<*,f32>
     "ElementwisePreluModule_basic",
-    # error: op lowering missing. Issue: https://github.com/llvm/torch-mlir/issues/1792
-    "StdCorrectionKeepDimModule_basic",
 
     #ERROR: value (Tensor with shape=[2, 3, 6, 10], dtype=torch.float32, min=-1.336e-32, max=+0.9152, mean=+0.4837) is not close to golden value (Tensor with shape=[2, 3, 6, 10], dtype=torch.float32, min=+0.02233, max=+0.9152, mean=+0.4777)
     "UpSampleNearest2dDynamicFactor_basic",

pytorch-hash.txt

@@ -1 +1 @@
-0a73b08b9f262bdf8c429d96a2af7d0024c1fa73
+1530b798ceeff749a7cc5833d9d9627778bd998a

pytorch-requirements.txt

@@ -1,4 +1,4 @@
 -f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html
 --pre
-torch==2.0.0.dev20230206
-torchvision==0.15.0.dev20230206
+torch==2.0.0.dev20230207
+torchvision==0.15.0.dev20230207