I have recently been working on a unity project involving the genetic algorithm, but have run into an error while trying to use the function np.dot(). NumSharp has been installed using the NuGet client NuGetForUnity
The error message is as follows:
NotSupportedException: Specified method is not supported.
NumSharp.NPTypeCodeExtensions.GetAccumulatingType (NumSharp.NPTypeCode typeCode) (at <7807b007e09c46aca587061f8867e538>:0)
NumSharp.Backends.DefaultEngine.ReduceAdd (NumSharp.NDArray& arr, System.Nullable1[T] axis_, System.Boolean keepdims, System.Nullable1[T] typeCode, NumSharp.NDArray out) (at <7807b007e09c46aca587061f8867e538>:0)
NumSharp.Backends.DefaultEngine.Sum (NumSharp.NDArray& nd, System.Nullable1[T] axis, System.Nullable1[T] typeCode, System.Boolean keepdims) (at <7807b007e09c46aca587061f8867e538>:0)
NumSharp.np.sum (NumSharp.NDArray& a, System.Int32 axis) (at <7807b007e09c46aca587061f8867e538>:0)
NumSharp.Backends.DefaultEngine.Dot (NumSharp.NDArray& left, NumSharp.NDArray& right) (at <7807b007e09c46aca587061f8867e538>:0)
NumSharp.np.dot (NumSharp.NDArray& a, NumSharp.NDArray& b) (at <7807b007e09c46aca587061f8867e538>:0)
NN.FeedForward () (at Assets/scripts/NeuralNetwork.cs:73)
Bot.FixedUpdate () (at Assets/scripts/Bot.cs:70)
Line 73 of the FeedForward script:
NDArray activations = np.dot(layers[i].weights, layers[i].activations);
Other sections of relevant code:
layer.weights = np.random.rand(3, 2);
layer.activations = np.zeros(2);
I have recently been working on a unity project involving the genetic algorithm, but have run into an error while trying to use the function np.dot(). NumSharp has been installed using the NuGet client NuGetForUnity
The error message is as follows:
NotSupportedException: Specified method is not supported.
NumSharp.NPTypeCodeExtensions.GetAccumulatingType (NumSharp.NPTypeCode typeCode) (at <7807b007e09c46aca587061f8867e538>:0)
NumSharp.Backends.DefaultEngine.ReduceAdd (NumSharp.NDArray& arr, System.Nullable
1[T] axis_, System.Boolean keepdims, System.Nullable1[T] typeCode, NumSharp.NDArray out) (at <7807b007e09c46aca587061f8867e538>:0)NumSharp.Backends.DefaultEngine.Sum (NumSharp.NDArray& nd, System.Nullable
1[T] axis, System.Nullable1[T] typeCode, System.Boolean keepdims) (at <7807b007e09c46aca587061f8867e538>:0)NumSharp.np.sum (NumSharp.NDArray& a, System.Int32 axis) (at <7807b007e09c46aca587061f8867e538>:0)
NumSharp.Backends.DefaultEngine.Dot (NumSharp.NDArray& left, NumSharp.NDArray& right) (at <7807b007e09c46aca587061f8867e538>:0)
NumSharp.np.dot (NumSharp.NDArray& a, NumSharp.NDArray& b) (at <7807b007e09c46aca587061f8867e538>:0)
NN.FeedForward () (at Assets/scripts/NeuralNetwork.cs:73)
Bot.FixedUpdate () (at Assets/scripts/Bot.cs:70)
Line 73 of the FeedForward script:
NDArray activations = np.dot(layers[i].weights, layers[i].activations);Other sections of relevant code:
layer.weights = np.random.rand(3, 2);layer.activations = np.zeros(2);