Fix for dilation2d

apache · Mar 18, 2020 · 449138c · 449138c
1 parent e13c422
commit 449138c
Show file tree

Hide file tree

Showing 2 changed files with 5 additions and 5 deletions.
diff --git a/python/tvm/relay/frontend/tensorflow.py b/python/tvm/relay/frontend/tensorflow.py
@@ -409,12 +409,12 @@ def _impl(inputs, attr, params, mod):
 
 # Dilation2d
 def _dilation2d():
-    def _impl(inputs, attr, params):
+    def _impl(inputs, attr, params, mod):
         if 'data_format' not in attr:
             attr['data_format'] = 'NHWC'
 
-        input_shape = attr['_input_shapes'][inputs[0]]
-        weights_shape = attr['_input_shapes'][inputs[1]]
+        input_shape = _infer_shape(inputs[0], mod)
+        weights_shape = _infer_shape(inputs[1], mod)
 
         if attr['_target_layout'] == "NCHW" and attr['data_format'] == "NHWC":
             input_shape = [input_shape[ii] for ii in (0, 3, 1, 2)]

diff --git a/tests/python/frontend/tensorflow/test_control_flow.py b/tests/python/frontend/tensorflow/test_control_flow.py
@@ -312,7 +312,7 @@ def test_vanilla_loop_bound():
         dtype = "float32"
         dname = "data"
         np_data = np.random.uniform(size=dshape).astype(dtype)
-        data = tf.compat.v1.placeholder(shape=dshape, dtype=dtype, name=dname)
+        data = tf.placeholder(shape=dshape, dtype=dtype, name=dname)
         x = tf.slice(data, [1, 4], [1, 4])
         outer = x + 5.0
         def body(x, y):
@@ -339,7 +339,7 @@ def test_nested_loop_bound():
         dtype = "float32"
         dname = "data"
         np_data = np.random.uniform(size=dshape).astype(dtype)
-        data = tf.compat.v1.placeholder(shape=dshape, dtype=dtype, name=dname)
+        data = tf.placeholder(shape=dshape, dtype=dtype, name=dname)
         x = tf.slice(data, [1, 4], [1, 4])
         outer = x + 5.0
         def body(x, y):