diff --git a/Tensors/src/test/scala/com/thoughtworks/compute/TensorsSpec.scala b/Tensors/src/test/scala/com/thoughtworks/compute/TensorsSpec.scala
index 2a1a72b3..082dea3a 100644
--- a/Tensors/src/test/scala/com/thoughtworks/compute/TensorsSpec.scala
+++ b/Tensors/src/test/scala/com/thoughtworks/compute/TensorsSpec.scala
@@ -16,7 +16,7 @@ import org.scalatest._
   * @author 杨博 (Yang Bo)
   */
 class TensorsSpec extends AsyncFreeSpec with Matchers {
-  private val tensors: Tensors =
+  private def doTensors: Do[Tensors] = Do.monadicCloseable(
     Factory[
       OpenCL.GlobalExecutionContext with OpenCL.UseAllDevices with OpenCL.UseFirstPlatform with OpenCL.CommandQueuePool with Tensors]
       .newInstance(
@@ -24,26 +24,27 @@ class TensorsSpec extends AsyncFreeSpec with Matchers {
         numberOfCommandQueuesForDevice = { (deviceId: Long, capabilities: CLCapabilities) =>
           5
         }
-      )
+      ))
 
   "create a tensor of a constant" in {
-    val shape = Array(2, 3, 5)
-    val element = 42.0f
-    val zeros = tensors.Tensor.fill(element, shape)
-
-    for {
-      pendingBuffer <- zeros.enqueue
-      floatBuffer <- pendingBuffer.toHostBuffer
-    } yield {
-      for (i <- 0 until floatBuffer.capacity()) {
-        floatBuffer.get(i) should be(element)
+    doTensors.flatMap { tensors =>
+      val shape = Array(2, 3, 5)
+      val element = 42.0f
+      val zeros = tensors.Tensor.fill(element, shape)
+      for {
+        pendingBuffer <- zeros.enqueue
+        floatBuffer <- pendingBuffer.toHostBuffer
+      } yield {
+        for (i <- 0 until floatBuffer.capacity()) {
+          floatBuffer.get(i) should be(element)
+        }
+        floatBuffer.position() should be(0)
+        floatBuffer.limit() should be(shape.product)
+        floatBuffer.capacity() should be(shape.product)
+        tensors.kernelCache.getIfPresent(zeros.closure) should not be null
+        val zeros2 = tensors.Tensor.fill(element, shape)
+        tensors.kernelCache.getIfPresent(zeros2.closure) should not be null
       }
-      floatBuffer.position() should be(0)
-      floatBuffer.limit() should be(shape.product)
-      floatBuffer.capacity() should be(shape.product)
-      tensors.kernelCache.getIfPresent(zeros.closure) should not be null
-      val zeros2 = tensors.Tensor.fill(element, shape)
-      tensors.kernelCache.getIfPresent(zeros2.closure) should not be null
     }
   }.run.toScalaFuture