message: tests: fix test model paths
diff: @@ -2,6 +2,7 @@ import unittest
  import torch_tensorrt as torchtrt
  import torch
  import torchvision.models as models
  +import os
  def find_repo_root(max_depth=10):
  dir_path = os.path.dirname(os.path.realpath(__file__))
  @@ -22,7 +23,7 @@ class TestStandardTensorInput(unittest.TestCase):
  def test_compile(self):
  self.input = torch.randn((1, 3, 224, 224)).to("cuda")
  - self.model = torch.jit.load(MODULE_DIR + "/standard_tensor_input.jit.pt").eval().to("cuda")
  + self.model = torch.jit.load(MODULE_DIR + "/standard_tensor_input_scripted.jit.pt").eval().to("cuda")
  compile_spec = {
  "inputs": [torchtrt.Input(self.input.shape),
  @@ -41,7 +42,7 @@ class TestTupleInput(unittest.TestCase):
  def test_compile(self):
  self.input = torch.randn((1, 3, 224, 224)).to("cuda")
  - self.model = torch.jit.load(MODULE_DIR + "/tuple_input.jit.pt").eval().to("cuda")
  + self.model = torch.jit.load(MODULE_DIR + "/tuple_input_scripted.jit.pt").eval().to("cuda")
  compile_spec = {
  "input_signature": ((torchtrt.Input(self.input.shape), torchtrt.Input(self.input.shape)),),
  @@ -61,7 +62,7 @@ class TestListInput(unittest.TestCase):
  def test_compile(self):
  self.input = torch.randn((1, 3, 224, 224)).to("cuda")
  - self.model = torch.jit.load(MODULE_DIR + "/list_input.jit.pt").eval().to("cuda")
  + self.model = torch.jit.load(MODULE_DIR + "/list_input_scripted.jit.pt").eval().to("cuda")
  compile_spec = {
  @@ -81,7 +82,7 @@ class TestTupleInputOutput(unittest.TestCase):
  def test_compile(self):
  self.input = torch.randn((1, 3, 224, 224)).to("cuda")
  - self.model = torch.jit.load(MODULE_DIR + "/tuple_input_output.jit.pt").eval().to("cuda")
  + self.model = torch.jit.load(MODULE_DIR + "/tuple_input_output_scripted.jit.pt").eval().to("cuda")
  compile_spec = {
  @@ -103,7 +104,7 @@ class TestListInputOutput(unittest.TestCase):
  def test_compile(self):
  self.input = torch.randn((1, 3, 224, 224)).to("cuda")
  - self.model = torch.jit.load(MODULE_DIR + "/list_input_output.jit.pt").eval().to("cuda")
  + self.model = torch.jit.load(MODULE_DIR + "/list_input_output_scripted.jit.pt").eval().to("cuda")
  compile_spec = {
  @@ -126,7 +127,7 @@ class TestListInputTupleOutput(unittest.TestCase):
  def test_compile(self):
  self.input = torch.randn((1, 3, 224, 224)).to("cuda")
  - self.model = torch.jit.load(MODULE_DIR + "/list_input_tuple_output.jit.pt").eval().to("cuda")
  + self.model = torch.jit.load(MODULE_DIR + "/list_input_tuple_output_scripted.jit.pt").eval().to("cuda")
  compile_spec = {
  