Ejemplo n.º 1
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def test_deep_copy():
    a = rand_gpuarray(20, dtype='float32')
    g = GpuArrayType(dtype='float32', broadcastable=(False,))('g')

    f = theano.function([g], g)

    assert isinstance(f.maker.fgraph.toposort()[0].op, DeepCopyOp)

    res = f(a)

    assert GpuArrayType.values_eq(res, a)
Ejemplo n.º 2
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def test_deep_copy():
    a = rand_gpuarray(20, dtype='float32')
    g = GpuArrayType(dtype='float32', broadcastable=(False, ))('g')

    f = theano.function([g], g)

    assert isinstance(f.maker.fgraph.toposort()[0].op, DeepCopyOp)

    res = f(a)

    assert GpuArrayType.values_eq(res, a)
Ejemplo n.º 3
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def test_transfer_cpu_gpu():
    a = T.fmatrix('a')
    g = GpuArrayType(dtype='float32', broadcastable=(False, False))('g')

    av = numpy.asarray(rng.rand(5, 4), dtype='float32')
    gv = gpuarray.array(av)

    f = theano.function([a], gpu_from_host(a))
    fv = f(av)
    assert GpuArrayType.values_eq(fv, gv)

    f = theano.function([g], host_from_gpu(g))
    fv = f(gv)
    assert numpy.all(fv == av)
Ejemplo n.º 4
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def test_transfer_cpu_gpu():
    a = T.fmatrix('a')
    g = GpuArrayType(dtype='float32', broadcastable=(False, False))('g')
    
    av = numpy.asarray(rng.rand(5, 4), dtype='float32')
    gv = gpuarray.array(av)
    
    f = theano.function([a], gpu_from_host(a))
    fv = f(av)
    assert GpuArrayType.values_eq(fv, gv)

    f = theano.function([g], host_from_gpu(g))
    fv = f(gv)
    assert numpy.all(fv == av)
Ejemplo n.º 5
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def test_transfer_strided():
    # This is just to ensure that it works in theano
    # compyte has a much more comprehensive suit of tests to ensure correctness
    a = T.fmatrix('a')
    g = GpuArrayType(dtype='float32', broadcastable=(False, False))('g')

    av = numpy.asarray(rng.rand(5, 8), dtype='float32')
    gv = gpuarray.array(av)

    av = av[:, ::2]
    gv = gv[:, ::2]

    f = theano.function([a], gpu_from_host(a))
    fv = f(av)
    assert GpuArrayType.values_eq(fv, gv)

    f = theano.function([g], host_from_gpu(g))
    fv = f(gv)
    assert numpy.all(fv == av)
Ejemplo n.º 6
0
def test_transfer_strided():
    # This is just to ensure that it works in theano
    # compyte has a much more comprehensive suit of tests to ensure correctness
    a = T.fmatrix('a')
    g = GpuArrayType(dtype='float32', broadcastable=(False, False))('g')

    av = numpy.asarray(rng.rand(5, 8), dtype='float32')
    gv = gpuarray.array(av)

    av = av[:,::2]
    gv = gv[:,::2]

    f = theano.function([a], gpu_from_host(a))
    fv = f(av)
    assert GpuArrayType.values_eq(fv, gv)

    f = theano.function([g], host_from_gpu(g))
    fv = f(gv)
    assert numpy.all(fv == av)