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build: manually update PyTorch version 

Set PyTorch and TorchVision version to nightly release 2022-12-11.

Signed-Off By: Vivek Khandelwal<vivek@nod-labs.com>
pull/1715/head
Vivek Khandelwal 2022-12-09 19:29:46 +05:30
parent f783e19dcb
commit 143a8f378d
3 changed files with 61 additions and 7 deletions
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62
e2e_testing/xfail_sets.py
View File

@ -61,10 +61,6 @@ TORCHDYNAMO_XFAIL_SET = {
# RuntimeError: Failed running call_function aten.uniform(...
# https://github.com/pytorch/torchdynamo/issues/1954
"UniformNoCorrelationModule_basic",
# Decomposition assertion:
# assert device is not None or dtype is not None or memory_format is not None
# https://github.com/pytorch/pytorch/issues/89633
"ToCopyModule_basic",
# TypeError: expected np.ndarray (got float)
# TODO: This is due to returning a scalar float as output from the test.
# We should probably just standardize all tests to return tensors.
@ -106,6 +102,34 @@ TORCHDYNAMO_XFAIL_SET = {
"UniformModule_basic",
# error: failed to materialize conversion for result #0 of operation 'torch.aten.t' that remained live after conversion
"TModuleRank1_basic",
# error:
"BatchMlpLayerModule_basic",
"BatchNorm1DModule_basic",
"BatchNorm1DWith2DInputModule_basic",
"BatchNorm2DModule_basic",
"BatchNorm3DModule_basic",
"Conv2dBiasNoPaddingModule_basic",
"Conv2dNoPaddingModule_basic",
"Conv2dWithPaddingDilationStrideModule_basic",
"Conv2dWithPaddingDilationStrideStaticModule_basic",
"Conv2dWithPaddingModule_basic",
"EmbeddingModule1DIndices_basic",
"EmbeddingModuleI32Static_basic",
"EmbeddingModuleI32_basic",
"EmbeddingModuleI64_basic",
"HBC_basic",
"LayerNormLastDimModule_basic",
"LayerNormModule_basic",
"LayerNormNormalizeOverAllDimsModule_basic",
"Mlp1LayerModule_basic",
"Mlp2LayerModuleNoBias_basic",
"Mlp2LayerModule_basic",
"MobilenetV3Module_basic",
"ResNet18Module_basic",
"ResNet18StaticModule_basic",
"SliceEndSleStartModule_basic",
"SliceOutOfUpperBoundIndexModule_basic",
"SliceStartEqEndModule_basic",
}
MHLO_PASS_SET = {
@ -757,4 +781,34 @@ LTC_XFAIL_SET = {
"CopyWithDifferentDTypesAndSizesModule_basic",
"CopyWithDifferentDTypesModule_basic",
"CopyWithDifferentSizesModule_basic",
"Conv2dNoPaddingModule_basic",
"Conv2dWithPaddingDilationStrideModule_basic",
"Conv2dWithPaddingDilationStrideStaticModule_basic",
"Conv2dWithPaddingModule_basic",
"Conv_Transpose2dModule_basic",
"Convolution2DModule_basic",
"Convolution2DStaticModule_basic",
"Convolution2DStridedModule_basic",
"ConvolutionModule2DGroups_basic",
"ConvolutionModule2DTransposeStridedStatic_basic",
"ConvolutionModule2DTransposeStrided_basic",
"ConvolutionModule2DTranspose_basic",
"ElementwiseClampModule_basic",
"IouOfModule_basic",
"MobilenetV3Module_basic",
"NativeBatchNormNoneWeightModule_basic",
"NllLossModuleBackward1DMean_basic",
"NllLossModuleBackward1DSum_basic",
"NllLossModuleBackward1D_basic",
"NllLossModuleBackwardMean_basic",
"NllLossModuleBackwardSum_basic",
"NllLossModuleBackward_basic",
"NllLossModuleBackward_ignore_index",
"NllLossModule_1D_basic",
"NllLossModule_basic",
"NllLossModule_ignore_index_out_of_bounds_basic",
"NllLossModule_mean_basic",
"NllLossModule_sum_basic",
"ResNet18Module_basic",
"ResNet18StaticModule_basic",
}

2
pytorch-hash.txt
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@ -1 +1 @@
ba7543762bcbc5a823076af15a8ff41e0f14c113
e22058171813aa6ab05f8550c91c268da7c715d7

4
pytorch-requirements.txt
View File

@ -1,4 +1,4 @@
-f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html
--pre
torch==1.14.0.dev20221205
torchvision==0.15.0.dev20221205
torch==2.0.0.dev20221211
torchvision==0.15.0.dev20221211