TypeError: Failed to convert object of type <class ‘plaidml.tile.Value’> to Tensor.

[jasdal365]

Hi! The plaidml installation succeed, but there are some problems with the tensors: To avoid tensorflow operations, I installed ngraph_bridge, but I got this error:

Traceback (most recent call last): File “/Users/jasmindalferth/Documents/Mask R-CNN/env/lib/python3.7/site-packages/tensorflow/python/framework/tensor_util.py”, line 558, in make_tensor_proto str_values = [compat.as_bytes(x) for x in proto_values] File “/Users/jasmindalferth/Documents/Mask R-CNN/env/lib/python3.7/site-packages/tensorflow/python/framework/tensor_util.py”, line 558, in <listcomp> str_values = [compat.as_bytes(x) for x in proto_values] File “/Users/jasmindalferth/Documents/Mask R-CNN/env/lib/python3.7/site-packages/tensorflow/python/util/compat.py”, line 65, in as_bytes (bytes_or_text,)) TypeError: Expected binary or unicode string, got <tile.Value Add FLOAT32(<tile.Value SymbolicDim UINT64()>, <tile.Value Add FLOAT64()>, <tile.Value Add FLOAT64()>, 6)> During handling of the above exception, another exception occurred: Traceback (most recent call last): File “/Users/jasmindalferth/Documents/Mask R-CNN/3_validate.py”, line 160, in <module> model = modellib.MaskRCNN(mode=“inference”, config=ValConfig(), model_dir=RESULT_MODEL) File “INPUT_NETWORK/mrcnn/model.py”, line 1817, in __init__ self.keras_model = self.build(mode=mode, config=config) File “INPUT_NETWORK/mrcnn/model.py”, line 1921, in build len(config.RPN_ANCHOR_RATIOS), config.TOP_DOWN_PYRAMID_SIZE) File “INPUT_NETWORK/mrcnn/model.py”, line 885, in build_rpn_model outputs = rpn_graph(input_feature_map, anchors_per_location, anchor_stride) File “INPUT_NETWORK/mrcnn/model.py”, line 852, in rpn_graph lambda t: tf.reshape(t, [tf.shape(t)[0], -1, 2]))(x) File “/Users/jasmindalferth/Documents/Mask R-CNN/env/lib/python3.7/site-packages/keras/engine/base_layer.py”, line 457, in __call__ output = self.call(inputs, **kwargs) File “/Users/jasmindalferth/Documents/Mask R-CNN/env/lib/python3.7/site-packages/keras/layers/core.py”, line 687, in call return self.function(inputs, **arguments) File “INPUT_NETWORK/mrcnn/model.py”, line 852, in <lambda> lambda t: tf.reshape(t, [tf.shape(t)[0], -1, 2]))(x) File “/Users/jasmindalferth/Documents/Mask R-CNN/env/lib/python3.7/site-packages/tensorflow/python/ops/array_ops.py”, line 330, in shape return shape_internal(input, name, optimize=True, out_type=out_type) File “/Users/jasmindalferth/Documents/Mask R-CNN/env/lib/python3.7/site-packages/tensorflow/python/ops/array_ops.py”, line 354, in shape_internal input_tensor = ops.convert_to_tensor(input) File “/Users/jasmindalferth/Documents/Mask R-CNN/env/lib/python3.7/site-packages/tensorflow/python/framework/ops.py”, line 1087, in convert_to_tensor return convert_to_tensor_v2(value, dtype, preferred_dtype, name) File “/Users/jasmindalferth/Documents/Mask R-CNN/env/lib/python3.7/site-packages/tensorflow/python/framework/ops.py”, line 1145, in convert_to_tensor_v2 as_ref=False) File “/Users/jasmindalferth/Documents/Mask R-CNN/env/lib/python3.7/site-packages/tensorflow/python/framework/ops.py”, line 1224, in internal_convert_to_tensor ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref) File “/Users/jasmindalferth/Documents/Mask R-CNN/env/lib/python3.7/site-packages/tensorflow/python/framework/constant_op.py”, line 305, in _constant_tensor_conversion_function return constant(v, dtype=dtype, name=name) File “/Users/jasmindalferth/Documents/Mask R-CNN/env/lib/python3.7/site-packages/tensorflow/python/framework/constant_op.py”, line 246, in constant allow_broadcast=True) File “/Users/jasmindalferth/Documents/Mask R-CNN/env/lib/python3.7/site-packages/tensorflow/python/framework/constant_op.py”, line 284, in _constant_impl allow_broadcast=allow_broadcast)) File “/Users/jasmindalferth/Documents/Mask R-CNN/env/lib/python3.7/site-packages/tensorflow/python/framework/tensor_util.py”, line 562, in make_tensor_proto “supported type.” % (type(values), values)) TypeError: Failed to convert object of type <class ‘plaidml.tile.Value’> to Tensor. Contents: Add FLOAT32(<tile.Value SymbolicDim UINT64()>, <tile.Value Add FLOAT64()>, <tile.Value Add FLOAT64()>, 6). Consider casting elements to a supported type.

[diyessi]

We removed PlaidML support. PlaidML is working in an MLIR setting now.

[jasdal365]

So do you know a method how to run tensorflow-gpu on a Mac with the GPU AMD Radeon Pro 5300M?

[Gerzer]

So do you know a method how to run tensorflow-gpu on a Mac with the GPU AMD Radeon Pro 5300M?

I don't think that there's any way to do that now. I'm seriously disappointed that nGraph removed PlaidML support so prematurely. It's irresponsible; they should've at the very least waited until PlaidML's MLIR support was actually functional; right now, it's a long way off.

[diyessi]

The PlaidML team implemented it and was maintaining it and were directed to focus on other things. The backend stopped working with the available PlaidML version many months ago.