test_model_gpu: Use TF memory pool if available, feature-gate test

thinc/tests/conftest.py

@@ -1,6 +1,24 @@
 import pytest
 
 
+def pytest_sessionstart(session):
+    # If Tensorflow is installed, attempt to enable memory growth
+    # to prevent it from allocating all of the GPU's free memory
+    # to its internal memory pool(s).
+    try:
+        import tensorflow as tf
+
+        physical_devices = tf.config.list_physical_devices("GPU")
+        for device in physical_devices:
+            try:
+                tf.config.experimental.set_memory_growth(device, True)
+            except:
+                # Invalid device or cannot modify virtual devices once initialized.
+                print(f"failed to enable Tensorflow memory growth on {device}")
+    except ImportError:
+        pass
+
+
 def pytest_addoption(parser):
     try:
         parser.addoption("--slow", action="store_true", help="include slow tests")

thinc/tests/layers/test_linear.py

@@ -87,6 +87,7 @@ def test_predict_small(W_b_input):
 
 
 @given(arrays_OI_O_BI(max_batch=20, max_out=30, max_in=30))
+@settings(deadline=None)
 def test_predict_extensive(W_b_input):
     W, b, input_ = W_b_input
     nr_out, nr_in = W.shape

thinc/tests/model/test_model.py

@@ -404,15 +404,12 @@ def get_model_id(id_list, index):
     assert len(list_of_ids) == len(list(set(list_of_ids)))
 
 
+@pytest.mark.skipif(not has_cupy_gpu, reason="needs CuPy GPU")
 def test_model_gpu():
     pytest.importorskip("ml_datasets")
     import ml_datasets
 
-    ops = "cpu"
-    if has_cupy_gpu:
-        ops = "cupy"
-
-    with use_ops(ops):
+    with use_ops("cupy"):
         n_hidden = 32
         dropout = 0.2
         (train_X, train_Y), (dev_X, dev_Y) = ml_datasets.mnist()