/* Copyright 2016 The TensorFlow Authors. All Rights Reserved. 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 org.tensorflow.op.core; import static org.junit.jupiter.api.Assertions.assertEquals; import java.io.ByteArrayOutputStream; import java.io.DataOutputStream; import java.io.IOException; import java.nio.ByteBuffer; import java.nio.DoubleBuffer; import java.nio.FloatBuffer; import java.nio.IntBuffer; import java.nio.LongBuffer; import org.junit.jupiter.api.Test; import org.tensorflow.AutoCloseableList; import org.tensorflow.Graph; import org.tensorflow.Session; import org.tensorflow.Tensor; import org.tensorflow.op.Scope; import org.tensorflow.tools.Shape; import org.tensorflow.tools.buffer.DataBuffer; import org.tensorflow.tools.buffer.DataBuffers; import org.tensorflow.tools.buffer.DoubleDataBuffer; import org.tensorflow.tools.buffer.FloatDataBuffer; import org.tensorflow.tools.buffer.IntDataBuffer; import org.tensorflow.tools.buffer.LongDataBuffer; import org.tensorflow.tools.ndarray.DoubleNdArray; import org.tensorflow.tools.ndarray.FloatNdArray; import org.tensorflow.tools.ndarray.IntNdArray; import org.tensorflow.tools.ndarray.LongNdArray; import org.tensorflow.tools.ndarray.NdArray; import org.tensorflow.tools.ndarray.NdArrays; import org.tensorflow.types.TFloat32; import org.tensorflow.types.TFloat64; import org.tensorflow.types.TInt32; import org.tensorflow.types.TInt64; import org.tensorflow.types.TString; public class ConstantTest { private static final float EPSILON = 1e-7f; @Test public void createInts() { IntDataBuffer buffer = DataBuffers.of(1, 2, 3, 4); Shape shape = Shape.of(4); IntNdArray array = NdArrays.wrap(shape, buffer); try (Graph g = new Graph(); Session sess = new Session(g)) { Scope scope = new Scope(g); Constant<TInt32> op1 = Constant.tensorOf(scope, shape, buffer); Constant<TInt32> op2 = Constant.tensorOf(scope, array); try (AutoCloseableList<Tensor<?>> t = new AutoCloseableList<>(sess.runner().fetch(op1).fetch(op2).run())) { assertEquals(array, t.get(0).expect(TInt32.DTYPE).data()); assertEquals(array, t.get(1).expect(TInt32.DTYPE).data()); } } } @Test public void createFloats() { FloatDataBuffer buffer = DataBuffers.of(1.0f, 2.0f, 3.0f, 4.0f); Shape shape = Shape.of(4); FloatNdArray array = NdArrays.wrap(shape, buffer); try (Graph g = new Graph(); Session sess = new Session(g)) { Scope scope = new Scope(g); Constant<TFloat32> op1 = Constant.tensorOf(scope, shape, buffer); Constant<TFloat32> op2 = Constant.tensorOf(scope, array); try (AutoCloseableList<Tensor<?>> t = new AutoCloseableList<>(sess.runner().fetch(op1).fetch(op2).run())) { assertEquals(array, t.get(0).expect(TFloat32.DTYPE).data()); assertEquals(array, t.get(1).expect(TFloat32.DTYPE).data()); } } } @Test public void createDoubles() { DoubleDataBuffer buffer = DataBuffers.of(1.0, 2.0, 3.0, 4.0); Shape shape = Shape.of(4); DoubleNdArray array = NdArrays.wrap(shape, buffer); try (Graph g = new Graph(); Session sess = new Session(g)) { Scope scope = new Scope(g); Constant<TFloat64> op1 = Constant.tensorOf(scope, shape, buffer); Constant<TFloat64> op2 = Constant.tensorOf(scope, array); try (AutoCloseableList<Tensor<?>> t = new AutoCloseableList<>(sess.runner().fetch(op1).fetch(op2).run())) { assertEquals(array, t.get(0).expect(TFloat64.DTYPE).data()); assertEquals(array, t.get(1).expect(TFloat64.DTYPE).data()); } } } @Test public void createLongs() { LongDataBuffer buffer = DataBuffers.of(1L, 2L, 3L, 4L); Shape shape = Shape.of(4); LongNdArray array = NdArrays.wrap(shape, buffer); try (Graph g = new Graph(); Session sess = new Session(g)) { Scope scope = new Scope(g); Constant<TInt64> op1 = Constant.tensorOf(scope, shape, buffer); Constant<TInt64> op2 = Constant.tensorOf(scope, array); try (AutoCloseableList<Tensor<?>> t = new AutoCloseableList<>(sess.runner().fetch(op1).fetch(op2).run())) { assertEquals(array, t.get(0).expect(TInt64.DTYPE).data()); assertEquals(array, t.get(1).expect(TInt64.DTYPE).data()); } } } @Test public void createStrings() throws IOException { DataBuffer<String> buffer = DataBuffers.ofObjects("1", "2", "3", "4"); Shape shape = Shape.of(4); NdArray<String> array = NdArrays.wrap(shape, buffer); try (Graph g = new Graph(); Session sess = new Session(g)) { Scope scope = new Scope(g); Constant<TString> op1 = Constant.tensorOf(scope, shape, buffer); Constant<TString> op2 = Constant.tensorOf(scope, array); try (AutoCloseableList<Tensor<?>> t = new AutoCloseableList<>(sess.runner().fetch(op1).fetch(op2).run())) { assertEquals(array, t.get(0).expect(TString.DTYPE).data()); assertEquals(array, t.get(1).expect(TString.DTYPE).data()); } } } }