Examples with MemoryWorkspace org.nd4j.linalg.api.memory.MemoryWorkspace used on opensource projects

Example 61 with MemoryWorkspace

use of org.nd4j.linalg.api.memory.MemoryWorkspace in project nd4j by deeplearning4j.

the class WorkspaceProviderTests method testCircularBufferReset1.

@Test
public void testCircularBufferReset1() throws Exception {
    Nd4jWorkspace workspace = (Nd4jWorkspace) Nd4j.getWorkspaceManager().getWorkspaceForCurrentThread(circularConfiguration, "WSR_1");
    try (MemoryWorkspace ws = Nd4j.getWorkspaceManager().getAndActivateWorkspace("WSR_1")) {
        Nd4j.create(10000);
        assertEquals(0, workspace.getCurrentSize());
        assertEquals(1, workspace.getNumberOfExternalAllocations());
    }
    assertEquals(10 * 1024L * 1024L, workspace.getCurrentSize());
    assertEquals(0, workspace.getHostOffset());
    assertEquals(1, workspace.getNumberOfExternalAllocations());
    for (int i = 0; i < 11 * 1024 * 1024; i += 10000 * Nd4j.sizeOfDataType()) {
        try (MemoryWorkspace ws = Nd4j.getWorkspaceManager().getAndActivateWorkspace("WSR_1")) {
            Nd4j.create(10000);
        }
    /*
            if (i < 10480000)
                assertEquals("I: " + i,1, workspace.getNumberOfExternalAllocations());
            else
                assertEquals(0, workspace.getNumberOfExternalAllocations());
                */
    }
    assertEquals(0, workspace.getNumberOfExternalAllocations());
}

Example 62 with MemoryWorkspace

use of org.nd4j.linalg.api.memory.MemoryWorkspace in project nd4j by deeplearning4j.

the class WorkspaceProviderTests method testNestedWorkspaces8.

@Test
public void testNestedWorkspaces8() throws Exception {
    try (MemoryWorkspace ws = Nd4j.getWorkspaceManager().getAndActivateWorkspace(loopConfiguration, "WS_1")) {
        INDArray array = Nd4j.create(100);
    }
    Nd4jWorkspace workspace = (Nd4jWorkspace) Nd4j.getWorkspaceManager().getWorkspaceForCurrentThread(loopConfiguration, "WS_1");
    workspace.initializeWorkspace();
    assertEquals(100 * Nd4j.sizeOfDataType(), workspace.getCurrentSize());
    try (MemoryWorkspace ws = Nd4j.getWorkspaceManager().getAndActivateWorkspace(loopConfiguration, "WS_1")) {
        INDArray array = Nd4j.create(1000);
    }
    Nd4j.getWorkspaceManager().getWorkspaceForCurrentThread(loopConfiguration, "WS_1").initializeWorkspace();
    assertEquals(100 * Nd4j.sizeOfDataType(), workspace.getCurrentSize());
}