You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I have tried to apply DIRNet on Brain Haemorrhage Datasets but encountered an error while training .I could resolve the Error: ValueError: Tried to convert 'input' to a tensor and failed. Error: None values not supported.' .Need your recommendation if any .I am using Tensorflow 1.15.2.
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py in internal_convert_to_tensor(value, dtype, name, as_ref, preferred_dtype, ctx, accepted_result_types)
1296 if ret is None:
-> 1297 ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
1298
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/tensor_util.py in make_tensor_proto(values, dtype, shape, verify_shape, allow_broadcast)
436 if values is None:
--> 437 raise ValueError("None values not supported.")
438 # if dtype is provided, forces numpy array to be the type
ValueError: None values not supported.
During handling of the above exception, another exception occurred:
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py in internal_convert_to_tensor(value, dtype, name, as_ref, preferred_dtype, ctx, accepted_result_types)
1296 if ret is None:
-> 1297 ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
1298
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/tensor_util.py in make_tensor_proto(values, dtype, shape, verify_shape, allow_broadcast)
436 if values is None:
--> 437 raise ValueError("None values not supported.")
438 # if dtype is provided, forces numpy array to be the type
ValueError: None values not supported.
During handling of the above exception, another exception occurred:
ValueError Traceback (most recent call last)
in
24
25 if name == "main":
---> 26 main()
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/util/dispatch.py in wrapper(*args, **kwargs)
178 """Call target, and fall back on dispatchers if there is a TypeError."""
179 try:
--> 180 return target(*args, **kwargs)
181 except (TypeError, ValueError):
182 # Note: convert_to_eager_tensor currently raises a ValueError, not a
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/op_def_library.py in _apply_op_helper(self, op_type_name, name, **keywords)
544 raise ValueError(
545 "Tried to convert '%s' to a tensor and failed. Error: %s" %
--> 546 (input_name, err))
547 prefix = ("Input '%s' of '%s' Op has type %s that does not match" %
548 (input_name, op_type_name, observed))
ValueError: Tried to convert 'input' to a tensor and failed. Error: None values not supported.
The text was updated successfully, but these errors were encountered:
I have tried to apply DIRNet on Brain Haemorrhage Datasets but encountered an error while training .I could resolve the Error: ValueError: Tried to convert 'input' to a tensor and failed. Error: None values not supported.' .Need your recommendation if any .I am using Tensorflow 1.15.2.
ValueError Traceback (most recent call last)
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/op_def_library.py in _apply_op_helper(self, op_type_name, name, **keywords)
527 as_ref=input_arg.is_ref,
--> 528 preferred_dtype=default_dtype)
529 except TypeError as err:
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py in internal_convert_to_tensor(value, dtype, name, as_ref, preferred_dtype, ctx, accepted_result_types)
1296 if ret is None:
-> 1297 ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
1298
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/constant_op.py in _constant_tensor_conversion_function(v, dtype, name, as_ref)
285 _ = as_ref
--> 286 return constant(v, dtype=dtype, name=name)
287
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/constant_op.py in constant(value, dtype, shape, name)
226 return _constant_impl(value, dtype, shape, name, verify_shape=False,
--> 227 allow_broadcast=True)
228
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/constant_op.py in _constant_impl(value, dtype, shape, name, verify_shape, allow_broadcast)
264 value, dtype=dtype, shape=shape, verify_shape=verify_shape,
--> 265 allow_broadcast=allow_broadcast))
266 dtype_value = attr_value_pb2.AttrValue(type=tensor_value.tensor.dtype)
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/tensor_util.py in make_tensor_proto(values, dtype, shape, verify_shape, allow_broadcast)
436 if values is None:
--> 437 raise ValueError("None values not supported.")
438 # if dtype is provided, forces numpy array to be the type
ValueError: None values not supported.
During handling of the above exception, another exception occurred:
ValueError Traceback (most recent call last)
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/op_def_library.py in _apply_op_helper(self, op_type_name, name, **keywords)
541 observed = ops.internal_convert_to_tensor(
--> 542 values, as_ref=input_arg.is_ref).dtype.name
543 except ValueError as err:
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py in internal_convert_to_tensor(value, dtype, name, as_ref, preferred_dtype, ctx, accepted_result_types)
1296 if ret is None:
-> 1297 ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
1298
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/constant_op.py in _constant_tensor_conversion_function(v, dtype, name, as_ref)
285 _ = as_ref
--> 286 return constant(v, dtype=dtype, name=name)
287
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/constant_op.py in constant(value, dtype, shape, name)
226 return _constant_impl(value, dtype, shape, name, verify_shape=False,
--> 227 allow_broadcast=True)
228
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/constant_op.py in _constant_impl(value, dtype, shape, name, verify_shape, allow_broadcast)
264 value, dtype=dtype, shape=shape, verify_shape=verify_shape,
--> 265 allow_broadcast=allow_broadcast))
266 dtype_value = attr_value_pb2.AttrValue(type=tensor_value.tensor.dtype)
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/tensor_util.py in make_tensor_proto(values, dtype, shape, verify_shape, allow_broadcast)
436 if values is None:
--> 437 raise ValueError("None values not supported.")
438 # if dtype is provided, forces numpy array to be the type
ValueError: None values not supported.
During handling of the above exception, another exception occurred:
ValueError Traceback (most recent call last)
in
24
25 if name == "main":
---> 26 main()
in main()
11 mkdir(config.ckpt_dir)
12
---> 13 reg = DIRNet(sess, config, "DIRNet", is_train=True)
14 dh = MNISTDataHandler("MNIST_data", is_train=True)
15
~/Documents/DIRNet-tensorflow 4.5.1/models.py in init(self, sess, config, name, is_train)
64
65 if self.is_train :
---> 66 self.loss = ncc(self.y, self.z)
67 #self.loss = mse(self.y, self.z)
68
~/Documents/DIRNet-tensorflow 4.5.1/ops.py in ncc(x, y)
33 def ncc(x, y):
34 mean_x = tf.reduce_mean(x, [1,2,3], keep_dims=True)
---> 35 mean_y = tf.reduce_mean(y, [1,2,3], keep_dims=True)
36 mean_x2 = tf.reduce_mean(tf.square(x), [1,2,3], keep_dims=True)
37 mean_y2 = tf.reduce_mean(tf.square(y), [1,2,3], keep_dims=True)
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/math_ops.py in reduce_mean_v1(input_tensor, axis, keepdims, name, reduction_indices, keep_dims)
1810 keepdims = deprecation.deprecated_argument_lookup("keepdims", keepdims,
1811 "keep_dims", keep_dims)
-> 1812 return reduce_mean(input_tensor, axis, keepdims, name)
1813
1814
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/util/dispatch.py in wrapper(*args, **kwargs)
178 """Call target, and fall back on dispatchers if there is a TypeError."""
179 try:
--> 180 return target(*args, **kwargs)
181 except (TypeError, ValueError):
182 # Note: convert_to_eager_tensor currently raises a ValueError, not a
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/math_ops.py in reduce_mean(input_tensor, axis, keepdims, name)
1868 gen_math_ops.mean(
1869 input_tensor, _ReductionDims(input_tensor, axis), keepdims,
-> 1870 name=name))
1871
1872
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/gen_math_ops.py in mean(input, axis, keep_dims, name)
6389 _, _, _op = _op_def_lib._apply_op_helper(
6390 "Mean", input=input, reduction_indices=axis, keep_dims=keep_dims,
-> 6391 name=name)
6392 _result = _op.outputs[:]
6393 _inputs_flat = _op.inputs
/anaconda3/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/op_def_library.py in _apply_op_helper(self, op_type_name, name, **keywords)
544 raise ValueError(
545 "Tried to convert '%s' to a tensor and failed. Error: %s" %
--> 546 (input_name, err))
547 prefix = ("Input '%s' of '%s' Op has type %s that does not match" %
548 (input_name, op_type_name, observed))
ValueError: Tried to convert 'input' to a tensor and failed. Error: None values not supported.
The text was updated successfully, but these errors were encountered: