I&#39;m running tensorflow-gpu on Windows 10 using a simple MINST neural network program. When it tries to run, it encounters a `CUBLAS_STATUS_ALLOC_FAILED` error. A google search doesn&#39;t turn up anything.

    I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\gpu\gpu_device.cc:885] Found device 0 with properties:
    name: GeForce GTX 970
    major: 5 minor: 2 memoryClockRate (GHz) 1.253
    pciBusID 0000:0f:00.0
    Total memory: 4.00GiB
    Free memory: 3.31GiB
    I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\gpu\gpu_device.cc:906] DMA: 0
    I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\gpu\gpu_device.cc:916] 0:   Y
    I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\gpu\gpu_device.cc:975] Creating TensorFlow device (/gpu:0) -&gt; (device: 0, name: GeForce GTX 970, pci bus id: 0000:0f:00.0)
    E c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\stream_executor\cuda\cuda_blas.cc:372] failed to create cublas handle: CUBLAS_STATUS_ALLOC_FAILED
    W c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\stream_executor\stream.cc:1390] attempting to perform BLAS operation using StreamExecutor without BLAS support
    Traceback (most recent call last):
      File &quot;C:\Users\Anonymous\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\client\session.py&quot;, line 1021, in _do_call
        return fn(*args)
      File &quot;C:\Users\Anonymous\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\client\session.py&quot;, line 1003, in _run_fn
        status, run_metadata)
      File &quot;C:\Users\Anonymous\AppData\Local\Programs\Python\Python35\lib\contextlib.py&quot;, line 66, in __exit__
        next(self.gen)
      File &quot;C:\Users\Anonymous\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\framework\errors_impl.py&quot;, line 469, in raise_exception_on_not_ok_status
        pywrap_tensorflow.TF_GetCode(status))
    tensorflow.python.framework.errors_impl.InternalError: Blas SGEMM launch failed : a.shape=(100, 784), b.shape=(784, 256), m=100, n=256, k=784
             [[Node: MatMul = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device=&quot;/job:localhost/replica:0/task:0/gpu:0&quot;](_recv_Placeholder_0/_7, Variable/read)]]
             [[Node: Mean/_15 = _Recv[client_terminated=false, recv_device=&quot;/job:localhost/replica:0/task:0/cpu:0&quot;, send_device=&quot;/job:localhost/replica:0/task:0/gpu:0&quot;, send_device_incarnation=1, tensor_name=&quot;edge_35_Mean&quot;, tensor_type=DT_FLOAT, _device=&quot;/job:localhost/replica:0/task:0/cpu:0&quot;]()]]

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Tensorflow crashes with CUBLAS_STATUS_ALLOC_FAILED