d-smirnov commented on a change in pull request #5992:
URL: https://github.com/apache/incubator-tvm/pull/5992#discussion_r452734994
##########
File path: tests/python/frontend/tflite/test_forward.py
##########
@@ -1755,6 +1755,39 @@ def test_all_reduce():
if package_version.parse(tf.VERSION) >= package_version.parse('1.15.0'):
_test_forward_reduce(_test_reduce_any, dtype="bool")
+#######################################################################
+# Arg_min_max
+# -----------
+
+def _test_arg_min_max(math_op, data, axis, quantized=False):
+ """ One iteration of arg_min_max"""
+
+ with tf.Graph().as_default():
+ t_name="in"
+ in_data = array_ops.placeholder(shape=data.shape, dtype=np.float32,
name=t_name )
+ input_range=None
+ qmin, qmax = -100, 102
+ if quantized:
+ inq_data = tf.quantization.fake_quant_with_min_max_args(in_data,
min=qmin, max=qmax, name= 'q' + t_name )
+ input_range = { inq_data.name.split(':')[0]: (qmin, qmax)}
+ out = math_op(input=inq_data, axis=axis)
+ compare_tflite_with_tvm([data], [inq_data.name], [inq_data],
[out], quantized=True, input_range=input_range)
+ else:
+ out = math_op(input=in_data, axis=axis)
+ compare_tflite_with_tvm([data], [in_data.name], [in_data], [out])
+
+def test_forward_arg_min_max():
+ data = np.array(np.random.uniform(0, 100, (3, 4)), dtype=np.uint8)
+ # test quantized
+ # There is no quantized version of ArgMin
+ for axis in [None, 0, 1, -1]:
+ _test_arg_min_max(math_ops.argmax, data, axis, True)
+
+ data = np.array(np.random.uniform(0, 100, (3, 4)), dtype=np.float32)
Review comment:
Added negative ranges
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
[email protected]
