value error 5d tensor error

[taloot]

im using the docker imagee

13. Issue Details

i have this errror
user@d082b4901cc4:~/workdir/Desktop/quanz/yolov5$ sudo openvino2tensorflow --model_path openvino/exp16.xml --model_output_path tf_tflite --output_full_integer_quant_tflite
TensorFlow/Keras model building process starts ======================================
ERROR: Cannot reshape a tensor with 6084 elements to shape [1,3,12,13,36] (16848 elements) for '{{node tf.reshape/Reshape}} = Reshape[T=DT_FLOAT, Tshape=DT_INT64](Placeholder, tf.reshape/Reshape/shape)' with input shapes: [1,13,13,36], [5] and with input tensors computed as partial shapes: input[1] = [1,3,12,13,36].
ERROR: model_path : openvino/exp16.xml
ERROR: weights_path: openvino/exp16.bin
ERROR: layer_id : 407
ERROR: input_layer0 layer_id=385: KerasTensor(type_spec=TensorSpec(shape=(1, 13, 13, 36), dtype=tf.float32, name=None), name='tf.math.add_66/Add:0', description="created by layer 'tf.math.add_66'")
ERROR: input_layer1 layer_id=406: tf.Tensor([ 1 3 12 13 36], shape=(5,), dtype=int64)
ERROR: The trace log is below.
Traceback (most recent call last):
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py", line 206, in wrapper
return target(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/array_ops.py", line 196, in reshape
result = gen_array_ops.reshape(tensor, shape, name)
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_array_ops.py", line 8398, in reshape
return reshape_eager_fallback(
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_array_ops.py", line 8419, in reshape_eager_fallback
_attr_T, (tensor,) = _execute.args_to_matching_eager([tensor], ctx, [])
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/eager/execute.py", line 273, in args_to_matching_eager
tensor = ops.convert_to_tensor(
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/profiler/trace.py", line 163, in wrapped
return func(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 1566, in convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/constant_op.py", line 346, in _constant_tensor_conversion_function
return constant(v, dtype=dtype, name=name)
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/constant_op.py", line 271, in constant
return _constant_impl(value, dtype, shape, name, verify_shape=False,
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/constant_op.py", line 283, in _constant_impl
return _constant_eager_impl(ctx, value, dtype, shape, verify_shape)
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/constant_op.py", line 308, in _constant_eager_impl
t = convert_to_eager_tensor(value, ctx, dtype)
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/constant_op.py", line 106, in convert_to_eager_tensor
return ops.EagerTensor(value, ctx.device_name, dtype)
File "/usr/local/lib/python3.8/dist-packages/keras/engine/keras_tensor.py", line 244, in array
raise TypeError(
TypeError: Cannot convert a symbolic Keras input/output to a numpy array. This error may indicate that you're trying to pass a symbolic value to a NumPy call, which is not supported. Or, you may be trying to pass Keras symbolic inputs/outputs to a TF API that does not register dispatching, preventing Keras from automatically converting the API call to a lambda layer in the Functional Model.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 1880, in _create_c_op
c_op = pywrap_tf_session.TF_FinishOperation(op_desc)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Cannot reshape a tensor with 6084 elements to shape [1,3,12,13,36] (16848 elements) for '{{node tf.reshape/Reshape}} = Reshape[T=DT_FLOAT, Tshape=DT_INT64](Placeholder, tf.reshape/Reshape/shape)' with input shapes: [1,13,13,36], [5] and with input tensors computed as partial shapes: input[1] = [1,3,12,13,36].

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/usr/local/bin/openvino2tensorflow", line 1592, in convert
tf_layers_dict[layer_id] = tf.reshape(op1, shape)
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py", line 210, in wrapper
result = dispatch(wrapper, args, kwargs)
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py", line 126, in dispatch
result = dispatcher.handle(op, args, kwargs)
File "/usr/local/lib/python3.8/dist-packages/keras/layers/core.py", line 1473, in handle
return TFOpLambda(op)(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/keras/engine/base_layer.py", line 976, in call
return self._functional_construction_call(inputs, args, kwargs,
File "/usr/local/lib/python3.8/dist-packages/keras/engine/base_layer.py", line 1114, in _functional_construction_call
outputs = self._keras_tensor_symbolic_call(
File "/usr/local/lib/python3.8/dist-packages/keras/engine/base_layer.py", line 848, in _keras_tensor_symbolic_call
return self._infer_output_signature(inputs, args, kwargs, input_masks)
File "/usr/local/lib/python3.8/dist-packages/keras/engine/base_layer.py", line 888, in _infer_output_signature
outputs = call_fn(inputs, *args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/keras/layers/core.py", line 1350, in _call_wrapper
return self._call_wrapper(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/keras/layers/core.py", line 1382, in _call_wrapper
result = self.function(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py", line 206, in wrapper
return target(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/array_ops.py", line 196, in reshape
result = gen_array_ops.reshape(tensor, shape, name)
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/gen_array_ops.py", line 8403, in reshape
_, _, _op, _outputs = _op_def_library._apply_op_helper(
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/op_def_library.py", line 748, in _apply_op_helper
op = g._create_op_internal(op_type_name, inputs, dtypes=None,
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/func_graph.py", line 599, in _create_op_internal
return super(FuncGraph, self)._create_op_internal( # pylint: disable=protected-access
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 3561, in _create_op_internal
ret = Operation(
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 2041, in init
self._c_op = _create_c_op(self._graph, node_def, inputs,
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py", line 1883, in _create_c_op
raise ValueError(str(e))
ValueError: Cannot reshape a tensor with 6084 elements to shape [1,3,12,13,36] (16848 elements) for '{{node tf.reshape/Reshape}} = Reshape[T=DT_FLOAT, Tshape=DT_INT64](Placeholder, tf.reshape/Reshape/shape)' with input shapes: [1,13,13,36], [5] and with input tensors computed as partial shapes: input[1] = [1,3,12,13,36].

[PINTO0309]

See.
https://github.com/PINTO0309/openvino2tensorflow#6-7-replace-weights-or-constant-values-in-const-op

[taloot]

See.
https://github.com/PINTO0309/openvino2tensorflow#6-7-replace-weights-or-constant-values-in-const-op

so whats the layer number that have problem, and how my json file written? based on my error

[taloot]

is it the 407?