🐞Describe the bug I got this error when convert coremlmodel in numpy >= 1.20 Trace Traceback (most recent call last): File "mini_code.py", line 14, in <module> model = ct.convert( File "/opt/conda/lib/python3.8/site-packages/coremltools/...
Databricks Runtime 4.1 includes Apache Spark 2.3.0. This release includes all fixes and improvements included in Databricks Runtime 4.0 (unsupported), as well as the following additional bug fixes and improvements made to Spark:[SPARK-24007][SQL] EqualNullSafe for FloatType and DoubleType might ...
tf.function(big_train)(x): 2019-06-07 16:46:24.139754: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:502] constant folding failed: Invalid argument: Unsupported type: 21 2019-06-07 16:46:24.180814: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:502] constant folding failed:...
Add max_by/min_by to sql.functions (SPARK-36963) Add new built-in SQL functions: SEC and CSC (SPARK-36683) array_intersect handles duplicated Double.NaN and Float.NaN (SPARK-36754) Add cot as Scala and Python functions (SPARK-36660)Performance...
The input to this model is a float array of length 4 -- this is where the conversion issue stems from as numpy.ndarray is unsupported: PythonException: An exception was thrown from a UDF: 'ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type numpy.ndarray).'...