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WAR: Disabling ViT tests until exporting with py311 is fixed #2305

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Merged
merged 1 commit into from
Sep 9, 2023
Merged

WAR: Disabling ViT tests until exporting with py311 is fixed #2305

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4 changes: 3 additions & 1 deletion tests/cpp/test_compiled_modules.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -59,6 +59,8 @@ INSTANTIATE_TEST_SUITE_P(
PathAndInput({"tests/modules/mobilenet_v2_scripted.jit.pt", {{1, 3, 224, 224}}, {at::kFloat}}),
PathAndInput({"tests/modules/efficientnet_b0_scripted.jit.pt", {{1, 3, 224, 224}}, {at::kFloat}}),
PathAndInput({"tests/modules/bert_base_uncased_traced.jit.pt", {{1, 14}, {1, 14}}, {at::kInt, at::kInt}}),
PathAndInput({"tests/modules/vit_scripted.jit.pt", {{1, 3, 224, 224}}, {at::kFloat}})));
// NOTE: ViT tests are disabled until Python 3.11 issue is resolved
// https://github.com/huggingface/pytorch-image-models/issues/1946 PathAndInput({"tests/modules/vit_scripted.jit.pt",
// {{1, 3, 224, 224}}, {at::kFloat}})));

#endif
4 changes: 3 additions & 1 deletion tests/cpp/test_modules_as_engines.cpp
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Expand Up @@ -30,5 +30,7 @@ INSTANTIATE_TEST_SUITE_P(
PathAndInput({"tests/modules/resnet18_scripted.jit.pt", {{1, 3, 224, 224}}, {at::kFloat}}),
PathAndInput({"tests/modules/mobilenet_v2_scripted.jit.pt", {{1, 3, 224, 224}}, {at::kFloat}}),
PathAndInput({"tests/modules/efficientnet_b0_scripted.jit.pt", {{1, 3, 224, 224}}, {at::kFloat}}),
PathAndInput({"tests/modules/vit_scripted.jit.pt", {{1, 3, 224, 224}}, {at::kFloat}})));
// NOTE: ViT tests are disabled until Python 3.11 issue is resolved
// https://github.com/huggingface/pytorch-image-models/issues/1946 PathAndInput({"tests/modules/vit_scripted.jit.pt",
// {{1, 3, 224, 224}}, {at::kFloat}})));
#endif
20 changes: 11 additions & 9 deletions tests/modules/hub.py
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Original file line number Diff line number Diff line change
@@ -1,12 +1,13 @@
import json
import os

import custom_models as cm
import timm
import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision.models as models
import timm
from transformers import BertModel, BertTokenizer, BertConfig
import os
import json
import custom_models as cm
from transformers import BertConfig, BertModel, BertTokenizer

torch.hub._validate_not_a_forked_repo = lambda a, b, c: True

Expand Down Expand Up @@ -50,10 +51,11 @@
"model": timm.create_model("efficientnet_b0", pretrained=True),
"path": "script",
},
"vit": {
"model": timm.create_model("vit_base_patch16_224", pretrained=True),
"path": "script",
},
# NOTE: Disabling ViT until support in 3.11 is fixed https://github.com/huggingface/pytorch-image-models/issues/1946
# "vit": {
# "model": timm.create_model("vit_base_patch16_224", pretrained=True),
# "path": "script",
# },
"pooling": {"model": cm.Pool(), "path": "trace"},
"module_fallback": {"model": cm.ModuleFallbackMain(), "path": "script"},
"loop_fallback_eval": {"model": cm.LoopFallbackEval(), "path": "script"},
Expand Down