Trying to import a model to TVM but getting follow errors any idea about this
unable to unify: static_tensor_float32_1_256_t and static_tensor_float32_scalar_t;
Can you provide the full trace? Also it should be related to certain tensor array op. It would be better if you can provide a minimal case.
some thing like this
%while_loop(0, 0, %255, %256, %259, %lstm_1/strided_slice_5/_25__cf__25, %lstm_1/strided_slice_10/_20__cf__20, %lstm_1/strided_slice_4/_24__cf__24, %lstm_1/strided_slice_3/_23__cf__23, %258, %lstm_1/strided_slice_1/_19__cf__19, %264, %lstm_1/strided_slice_2/_22__cf__22, %lstm_1/strided_slice_6/_26__cf__26, %lstm_1/strided_slice_11/_21__cf__21, %lstm_1/strided_slice_8/_28__cf__28, %lstm_1/strided_slice_7/_27__cf__27, %lstm_1/strided_slice_9/_29__cf__29, %lstm_1/strided_slice/_18__cf__18, %265) unable to unify: static_tensor_float32_scalar_t and static_tensor_float32_1_256_t;
) unable to unify: static_tensor_float32_1_256_t and static_tensor_float32_scalar_t; ;
%266.4
I think I’m facing the same error.
First, I merged the code from Dynamic NMS and strided_slice to support importing model TensorFlow model: ssd_resnet_50_fpn_coco
Then I met the following error:
Traceback (most recent call last):
File “/incubator-tvm/tutorials/ssd_resnet34_tf.py”, line 37, in mod, params = relay.frontend.from_tensorflow(graph_def, layout=layout)
File “/incubator-tvm/python/tvm/relay/frontend/tensorflow.py”, line 3344, in from_tensorflow mod, params = g.from_tensorflow(graph, layout, shape, outputs)
File “/incubator-tvm/python/tvm/relay/frontend/tensorflow.py”, line 2907, in from_tensorflow self._backtrack_construct(node.name)
File “/incubator-tvm/python/tvm/relay/frontend/tensorflow.py”, line 3284, in _backtrack_construct self._control_flow_node_map)
File “/incubator-tvm/python/tvm/relay/frontend/tensorflow.py”, line 3170, in _convert_control_flow_operator op = self._backtrack_construct(node.input[0])
File “/incubator-tvm/python/tvm/relay/frontend/tensorflow.py”, line 3291, in _backtrack_construct in_op = self._backtrack_construct(iname)
File “/incubator-tvm/python/tvm/relay/frontend/tensorflow.py”, line 3291, in _backtrack_construct in_op = self._backtrack_construct(iname)
File “/incubator-tvm/python/tvm/relay/frontend/tensorflow.py”, line 3291, in _backtrack_construct in_op = self._backtrack_construct(iname)
[Previous line repeated 94 more times]
File “/incubator-tvm/python/tvm/relay/frontend/tensorflow.py”, line 3300, in _backtrack_construct op = self._convert_operator(node.op, inputs, attr, self._graph)
File “/incubator-tvm/python/tvm/relay/frontend/tensorflow.py”, line 3243, in _convert_operator sym = convert_map[op_name](inputs, attrs, self._params, self._prelude)
File “/incubator-tvm/python/tvm/relay/frontend/tensorflow.py”, line 950, in _impl input_shape = get_tensor_array_shape(inputs[2], dtype_str, prelude)
File “/incubator-tvm/python/tvm/relay/prelude.py”, line 54, in get_tensor_array_shape mod[“main”] = Function([], expr)
File “/incubator-tvm/python/tvm/ir/module.py”, line 74, in setitem return self._add(var, val)
File “/incubator-tvm/python/tvm/ir/module.py”, line 83, in _add _ffi_api.Module_Add(self, var, val, update)
File “/incubator-tvm/python/tvm/_ffi/_ctypes/packed_func.py”, line 216, in call raise get_last_ffi_error()
%17 = strided_slice(%Preprocessor/map/Shape, begin=[0], end=[1], strides=[1]);
%18 = squeeze(%17);
%19 = @tensor_array_float32_scalar(%18);
%20 = @tensor_array_int32_scalar(%18);
%21 = @tensor_array_float32_1_1_3(%18);
%22 = arange(0, 1, 1, start=meta[relay.Constant][0], stop=meta[relay.Constant][1], step=meta[relay.Constant][2], dtype=“int32”);
%23 = cast(%image_tensor, dtype=“float32”);
%24 = @tensor_array_unstack_float32_1_1_1_3(%23);
%25 = @tensor_array_scatter_float32_1_1_3(%21, %22, %24);
%while_loop(%19, %20, 0, %25, %18)
) unable to unify: static_tensor_float32_640_640_3_t and static_tensor_float32_scalar_t; unable to unify: static_tensor_int32_3_t and static_tensor_int32_scalar_t; ;
%26.0
Does anyone else met this error before？
you can make it work with static version of layout, i think something is wrong in loop handling with tensor array.
I’m fixing some issues regarding to tf ssd models and will submit a PR soon.
1 Like
That is nice, wait for approval
I dont think its fixed yet i am having same issues so any update regarding this…
I’m facing the same error.
unable to unify: 'static_tensor_float32_320_320_3_t' and ''static_tensor_float32_scalar_t';
unable to unify: 'static_tensor_int32_3_t' and ''static_tensor_int32_scalar_t';
model: [ssd_mobilenet_v3 (Similar to http://download.tensorflow.org/models/object_detection/ssd_mobilenet_v3_small_coco_2020_01_14.tar.gz)
yap same problem, we may have to wait for new PR
Are you looking at this？
I’m refactoring tf frontend tensor array and will fix these issues.
1 Like
Thank you. Looking forward to it.
1 Like