swim.math.TensorObjectSpace Maven / Gradle / Ivy
// Copyright 2015-2019 SWIM.AI inc.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package swim.math;
import swim.codec.Debug;
import swim.codec.Format;
import swim.codec.Output;
final class TensorObjectSpace implements TensorSpace, Debug {
final TensorSpace next;
final TensorDims dims;
TensorObjectSpace(TensorSpace next, TensorDims dims) {
this.next = next;
this.dims = dims;
}
TensorObjectSpace(TensorSpace next, int n) {
this(next, next.dimensions().by(n));
}
@Override
public R scalar() {
return R.field();
}
@Override
public TensorDims dimensions() {
return this.dims;
}
public TensorForm form() {
return Tensor.form(this.dims);
}
@Override
public Tensor zero() {
return Tensor.zero(this.dims);
}
public Tensor of(double... array) {
return new Tensor(this.dims, array);
}
public Tensor of(float... array) {
return new Tensor(this.dims, array);
}
@Override
public Tensor add(Tensor u, Tensor v) {
return u.plus(v);
}
@Override
public Tensor opposite(Tensor v) {
return v.opposite();
}
@Override
public Tensor subtract(Tensor u, Tensor v) {
return u.minus(v);
}
@Override
public Tensor multiply(Tensor u, Double a) {
return u.times(a);
}
@Override
public Tensor combine(Double a, Tensor u, Double b, Tensor v) {
return Tensor.combine(a, u, b, v);
}
@Override
public void debug(Output> output) {
output.write("Tensor").write('.').write("space").write('(')
.debug(this.next).write(", ").debug(this.dims).write(')');
}
@Override
public String toString() {
return Format.debug(this);
}
}