u99127 opened a new pull request #5392:
URL: https://github.com/apache/incubator-tvm/pull/5392
This shows the changes needed to CI and the testsuite to get CI to support
TF/TFLite 1.15.2 and then on to TF / TFlite 2.1.0
There were a couple of related issues found with Tensorflow 2.1.0 which are
fixed with #5391 . However issues still remain.
The 3 test failures in TFlite testsuite need to be investigated. Either they
have regresssed since support was added or they have always been the case. I'll
look to investigate them and create issues for them in the issue tracker.
There are still 2 open issues with running Tensorflow tests with 2.1.0 which
need investigation.
FAILED
tests/python/frontend/tensorflow/test_forward.py::test_tensor_array_size
FAILED
tests/python/frontend/tensorflow/test_forward.py::test_tensor_array_unstack
tests/python/frontend/tensorflow/test_forward.py:950: in run
compare_tf_with_tvm([], [], 'TensorArraySizeV3:0', mode='debug')
tests/python/frontend/tensorflow/test_forward.py:178: in compare_tf_with_tvm
final_graph_def = tf_testing.AddShapesToGraphDef(sess, out_node)
python/tvm/relay/testing/tf.py:95: in AddShapesToGraphDef
convert_to_list(out_node),
/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/util/deprecation.py:324:
in new_func
return func(*args, **kwargs)
/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/graph_util_impl.py:277:
in convert_variables_to_constants
inference_graph = extract_sub_graph(input_graph_def, output_node_names)
/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/util/deprecation.py:324:
in new_func
return func(*args, **kwargs)
/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/graph_util_impl.py:197:
in extract_sub_graph
_assert_nodes_are_present(name_to_node, dest_nodes)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _
name_to_node = {'Const': name: "Const"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
... key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
}
int_val: 2
}
}
}
}
nodes = ['TensorArraySizeV3']
def _assert_nodes_are_present(name_to_node, nodes):
"""Assert that nodes are present in the graph."""
for d in nodes:
> assert d in name_to_node, "%s is not in graph" % d
E AssertionError: TensorArraySizeV3 is not in graph
/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/graph_util_impl.py:152:
AssertionError
__________________________ test_tensor_array_unstack
___________________________
def test_tensor_array_unstack():
def run(dtype_str, input_shape, infer_shape):
with tf.Graph().as_default():
dtype = tf_dtypes[dtype_str]
t = tf.constant(np.random.choice([0, 1, 2, 3],
size=input_shape).astype(dtype.name))
ta1 = tf.TensorArray(dtype=dtype, infer_shape=infer_shape,
size=input_shape[0])
ta2 = ta1.unstack(t)
out0 = ta2.size()
out1 = ta2.read(0)
compare_tf_with_tvm([], [], 'TensorArraySizeV3:0',
mode='debug')
compare_tf_with_tvm([], [], 'TensorArrayReadV3:0',
mode='debug')
for dtype in ["float32", "int8"]:
> run(dtype, (5,), False)
tests/python/frontend/tensorflow/test_forward.py:986:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _
tests/python/frontend/tensorflow/test_forward.py:983: in run
compare_tf_with_tvm([], [], 'TensorArraySizeV3:0', mode='debug')
tests/python/frontend/tensorflow/test_forward.py:178: in compare_tf_with_tvm
final_graph_def = tf_testing.AddShapesToGraphDef(sess, out_node)
python/tvm/relay/testing/tf.py:95: in AddShapesToGraphDef
convert_to_list(out_node),
/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/util/deprecation.py:324:
in new_func
return func(*args, **kwargs)
/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/graph_util_impl.py:277:
in convert_variables_to_constants
inference_graph = extract_sub_graph(input_graph_def, output_node_names)
/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/util/deprecation.py:324:
in new_func
return func(*args, **kwargs)
/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/graph_util_impl.py:197:
in extract_sub_graph
_assert_nodes_are_present(name_to_node, dest_nodes)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _
name_to_node = {'Const': name: "Const"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
...: "value"
value {
tensor { dtype: DT_INT32
tensor_shape {
}
int_val: 5
}
}
}
, ...}
nodes = ['TensorArraySizeV3']
def _assert_nodes_are_present(name_to_node, nodes):
"""Assert that nodes are present in the graph."""
for d in nodes:
> assert d in name_to_node, "%s is not in graph" % d
E AssertionError: TensorArraySizeV3 is not in graph
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