Bug Fix 2

FBerding · Oct 9, 2023 · 51bdbcd · 51bdbcd
1 parent dda544b
commit 51bdbcd
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Showing 2 changed files with 3 additions and 2 deletions.
diff --git a/tests/testthat/test-04_transformer_models.R b/tests/testthat/test-04_transformer_models.R
@@ -654,6 +654,7 @@ for(ai_method in ai_methods){
         expect_no_error(bert_modeling$get_bow_components())
         })
 
+      #------------------------------------------------------------------------
       test_that(paste0(ai_method,"Save Total Model H5",framework), {
         expect_no_error(
           save_ai_model(model=bert_modeling,
@@ -693,7 +694,6 @@ for(ai_method in ai_methods){
 
       #-------------------------------------------------------------------------
       test_that(paste0(ai_method,"Save Total Model TF without ID",framework), {
-        testthat::skip_on_os("linux")
         expect_no_error(
           save_ai_model(model=bert_modeling,
                         model_dir = testthat::test_path(paste0(path_03,"/",framework)),
@@ -703,7 +703,6 @@ for(ai_method in ai_methods){
       })
 
       test_that(paste0("Load Total Model TF without ID",framework), {
-        testthat::skip_on_os("linux")
         bert_modeling<-NULL
         bert_modeling<-load_ai_model(
           ml_framework = framework,

diff --git a/tests/testthat/test-14_classifier_neural_net.R b/tests/testthat/test-14_classifier_neural_net.R
@@ -569,6 +569,7 @@ test_that(paste(ml_framework,"Classifier Load Total Model H5"), {
 base::gc(verbose = FALSE,full = TRUE)
 
 test_that(paste(ml_framework,"Classifier Save Total Model TF with ID"), {
+  testthat::skip_on_os("linux")
   expect_no_error(
     save_ai_model(model=classifier,
                   model_dir = testthat::test_path("test_artefacts/tmp_full_models"),
@@ -578,6 +579,7 @@ test_that(paste(ml_framework,"Classifier Save Total Model TF with ID"), {
 base::gc(verbose = FALSE,full = TRUE)
 
 test_that(paste(ml_framework,"Classifier Load Total Model TF with ID"), {
+  testthat::skip_on_os("linux")
   new_classifier<-NULL
   new_classifier<-load_ai_model(
     ml_framework="tensorflow",