Remove Deprecation Warnings (#654)

fixes #653

setup.cfg

@@ -3,3 +3,12 @@ license_file = LICENSE
 
 [bdist_wheel]
 universal = 1
+
+[tool:pytest]
+filterwarnings =
+    ignore:Call to deprecated create function FieldDescriptor
+    ignore:Call to deprecated create function Descriptor
+    ignore:Call to deprecated create function EnumDescriptor
+    ignore:Call to deprecated create function EnumValueDescriptor
+    ignore:Call to deprecated create function FileDescriptor
+    ignore:Call to deprecated create function OneofDescriptor

tensorboardX/summary.py

@@ -231,7 +231,7 @@ def make_histogram(values, bins, max_bins=None):
         limits = new_limits
 
     # Find the first and the last bin defining the support of the histogram:
-    cum_counts = np.cumsum(np.greater(counts, 0, dtype=np.int32))
+    cum_counts = np.cumsum(np.greater(counts, 0))
     start, end = np.searchsorted(cum_counts, [0, cum_counts[-1] - 1], side="right")
     start = int(start)
     end = int(end) + 1
@@ -510,7 +510,7 @@ def compute_curve(labels, predictions, num_thresholds=None, weights=None):
 
     # Compute bins of true positives and false positives.
     bucket_indices = np.int32(np.floor(predictions * (num_thresholds - 1)))
-    float_labels = labels.astype(np.float)
+    float_labels = labels.astype(float)
     histogram_range = (0, num_thresholds - 1)
     tp_buckets, _ = np.histogram(
         bucket_indices,

test-requirements.txt

@@ -1,3 +1,4 @@
+flake8
 pytest
 torch
 six

tests/test_caffe2.py

@@ -215,7 +215,7 @@ def filter_fn(blob):
     def test_simple_cnnmodel(self):
         model = cnn.CNNModelHelper("NCHW", name="overfeat")
         workspace.FeedBlob("data", np.random.randn(1, 3, 64, 64).astype(np.float32))
-        workspace.FeedBlob("label", np.random.randn(1, 1000).astype(np.int))
+        workspace.FeedBlob("label", np.random.randn(1, 1000).astype(int))
         with core.NameScope("conv1"):
             conv1 = model.Conv("data", "conv1", 3, 96, 11, stride=4)
             relu1 = model.Relu(conv1, conv1)
@@ -243,7 +243,7 @@ def test_simple_model(self):
         model = model_helper.ModelHelper(name="mnist")
         # how come those inputs don't break the forward pass =.=a
         workspace.FeedBlob("data", np.random.randn(1, 3, 64, 64).astype(np.float32))
-        workspace.FeedBlob("label", np.random.randn(1, 1000).astype(np.int))
+        workspace.FeedBlob("label", np.random.randn(1, 1000).astype(int))
 
         with core.NameScope("conv1"):
             conv1 = brew.conv(model, "data", 'conv1', dim_in=1, dim_out=20, kernel=5)