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
;
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.
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.
Thank you. Looking forward to it.