dhruvaray commented on a change in pull request #5329:
URL: https://github.com/apache/incubator-tvm/pull/5329#discussion_r422081644
##########
File path: tests/python/frontend/tflite/test_forward.py
##########
@@ -650,6 +693,82 @@ def test_all_resize():
_test_resize(tf.image.resize_nearest_neighbor, data,
align_corners=False)
+#######################################################################
+# Range
+# -----
+def _test_range(start, limit, delta):
+ # tflite 1.13 convert method does not accept empty shapes
+ if package_version.parse(tf.VERSION) >= package_version.parse('1.14.0'):
+ tf.reset_default_graph()
+ with tf.Graph().as_default():
+ start_scalar, limit_scalar, delta_scalar = \
+ tf.placeholder(dtype=start.dtype, shape=(), name="start"), \
+ tf.placeholder(dtype=limit.dtype, shape=(), name="limit"), \
+ tf.placeholder(dtype=delta.dtype, shape=(), name="delta")
+
+ out = tf.range(start_scalar, limit_scalar, delta_scalar,
name="range")
+
+ compare_tflite_with_tvm(
+ [start, limit, delta],
+ ["start", "limit", "delta"],
+ [start_scalar, limit_scalar, delta_scalar],
+ [out],
+ mode="vm",
+ quantized=False
+ )
+
+def _test_range_default():
+ # tflite 1.13 convert method does not accept empty shapes
+ if package_version.parse(tf.VERSION) >= package_version.parse('1.14.0'):
+ tf.reset_default_graph()
+ with tf.Graph().as_default():
+
+ inputs = [
+ tf.placeholder(dtype=tf.int32, shape=(), name="p1"),
+ tf.placeholder(dtype=tf.int32, shape=(), name="p2")
+ ]
+ leaves = [
+ tf.range(start = inputs[0], limit = inputs[1]), #use default
delta
+ tf.range(start = inputs[1]) #use start as limit with 0 as the
first item in the range
+ ]
+
+ compare_tflite_with_tvm(
+ [np.int32(1), np.int32(18)],
+ ["p1", "p2"],
+ inputs,
+ leaves,
+ mode="vm",
+ quantized=False
+ )
+
+def test_forward_range():
+ _test_range(np.int32(1), np.int32(18), np.int32(3))
+ _test_range(np.int32(1), np.int32(18), np.float32(3.1)) # increment is of
type float
+ _test_range(np.float32(1.0), np.int32(18), np.int32(3.1)) # start is of
type float
+ _test_range_default()
+
+#######################################################################
+# Shape
+# -----
+def test_forward_shape():
+ # tflite 1.13 convert method does not accept empty shapes
+ if package_version.parse(tf.VERSION) >= package_version.parse('1.14.0'):
+ tf.reset_default_graph()
+ with tf.Graph().as_default():
+ data = np.array([1, 18, 3], dtype=np.int32)
+ start = tf.placeholder(dtype=tf.int32, shape=[], name="start")
+ limit = tf.placeholder(dtype=tf.int32, shape=[], name="limit")
+ delta = tf.placeholder(dtype=tf.int32, shape=[], name="delta")
+ r = tf.range(start, limit, delta, tf.int32, name="range")
+ out = tf.shape(r, out_type=tf.dtypes.int32)
+ compare_tflite_with_tvm(
+ [x for x in np.nditer(data)],
+ ["start", "limit", "delta"],
+ [start, limit, delta],
+ [out],
+ mode="vm",
+ quantized=False
+ )
#######################################################################
Review comment:
added
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