public void GenerateRecurrentInput()
{
var inputTensor = new Tensor()
{
Shape = new long[] { 2, 5 }
};
var batchSize = 4;
var agentInfos = GetFakeAgentInfos();
var generator = new RecurrentInputGenerator();
generator.Generate(inputTensor, batchSize, agentInfos);
Assert.IsNotNull(inputTensor.Data as float[, ]);
Assert.AreEqual((inputTensor.Data as float[, ])[0, 0], 0);
Assert.AreEqual((inputTensor.Data as float[, ])[0, 4], 0);
Assert.AreEqual((inputTensor.Data as float[, ])[1, 0], 1);
Assert.AreEqual((inputTensor.Data as float[, ])[1, 4], 0);
}
public void GenerateRecurrentInput()
{
var inputTensor = new TensorProxy()
{
Shape = new long[] { 2, 5 }
};
var batchSize = 4;
var agentInfos = GetFakeAgentInfos();
var alloc = new TensorCachingAllocator();
var generator = new RecurrentInputGenerator(alloc);
generator.Generate(inputTensor, batchSize, agentInfos);
Assert.IsNotNull(inputTensor.Data);
Assert.AreEqual(inputTensor.Data[0, 0], 0);
Assert.AreEqual(inputTensor.Data[0, 4], 0);
Assert.AreEqual(inputTensor.Data[1, 0], 1);
Assert.AreEqual(inputTensor.Data[1, 4], 0);
alloc.Dispose();
}
