add external files

crates/erg_compiler/lib/external/torch.d/utils.d/__init__.d.er

@@ -0,0 +1 @@
+.data = pyimport "./data"

crates/erg_compiler/lib/external/torch.d/utils.d/data.d/__init__.d.er

@@ -0,0 +1,9 @@
+{.DataLoader;} = pyimport "./dataloader"
+{.Dataset;} = pyimport "./dataset"
+{
+    .Sampler;
+    .SequentialSampler;
+    .RandomSampler;
+    .SubsetRandomSampler;
+    .WeightedRandomSampler;
+} = pyimport "./sampler"

crates/erg_compiler/lib/external/torch.d/utils.d/data.d/dataloader.d.er

@@ -0,0 +1,25 @@
+torch = pyimport "torch"
+dataset = pyimport "./dataset"
+{Sampler;} = pyimport "./sampler"
+
+.DataLoader: ClassType
+.DataLoader <: Iterable((torch.Tensor!(_, _), torch.Tensor!(_, _)))
+.DataLoader.
+    __call__: (
+        dataset: dataset.Dataset,
+        batch_size := Nat,
+        shuffle := Bool,
+        sampler := Sampler,
+        batch_sampler := Sampler,
+        num_workers := Nat,
+        collate_fn := Obj,
+        pin_memory := Bool,
+        drop_last := Bool,
+        timeout := Float,
+        worker_init_fn := Obj,
+        multiprocessing_context := Obj,
+        generator := Obj,
+        prefetch_factor := Nat,
+        persistent_workers := Bool,
+        pin_memory_device := Str,
+    ) -> .DataLoader

crates/erg_compiler/lib/external/torch.d/utils.d/data.d/dataset.d.er

@@ -0,0 +1 @@
+.Dataset: ClassType

crates/erg_compiler/lib/external/torch.d/utils.d/data.d/sampler.d.er

@@ -0,0 +1,13 @@
+.Sampler: ClassType
+
+.RandomSampler: ClassType
+.RandomSampler <: .Sampler
+
+.SequentialSampler: ClassType
+.SequentialSampler <: .Sampler
+
+.SubsetRandomSampler: ClassType
+.SubsetRandomSampler <: .Sampler
+
+.WeightedRandomSampler: ClassType
+.WeightedRandomSampler <: .Sampler