def _impl_test_minmax(self, dtype):
x = np.random.normal(scale=5.0, size=(3, 5))
x = x.astype(dtype=dtype, order='C')
x_gpu = gpuarray.to_gpu(x)
assert_allclose(misc.max(x_gpu, axis=0).get(), x.max(axis=0),
rtol=dtype_to_rtol[dtype],
atol=dtype_to_atol[dtype])
assert_allclose(misc.max(x_gpu, axis=1).get(), x.max(axis=1),
rtol=dtype_to_rtol[dtype],
atol=dtype_to_atol[dtype])
assert_allclose(misc.min(x_gpu, axis=0).get(), x.min(axis=0),
rtol=dtype_to_rtol[dtype],
atol=dtype_to_atol[dtype])
assert_allclose(misc.min(x_gpu, axis=1).get(), x.min(axis=1),
rtol=dtype_to_rtol[dtype],
atol=dtype_to_atol[dtype])
x = x.astype(dtype=dtype, order='F')
x_gpu = gpuarray.to_gpu(x)
assert_allclose(misc.max(x_gpu, axis=0).get(), x.max(axis=0),
rtol=dtype_to_rtol[dtype],
atol=dtype_to_atol[dtype])
assert_allclose(misc.max(x_gpu, axis=1).get(), x.max(axis=1),
rtol=dtype_to_rtol[dtype],
atol=dtype_to_atol[dtype])
assert_allclose(misc.min(x_gpu, axis=0).get(), x.min(axis=0),
rtol=dtype_to_rtol[dtype],
atol=dtype_to_atol[dtype])
assert_allclose(misc.min(x_gpu, axis=1).get(), x.min(axis=1),
rtol=dtype_to_rtol[dtype],
atol=dtype_to_atol[dtype])
def _impl_test_minmax(self, dtype):
x = np.random.normal(scale=5.0, size=(3, 5))
x = x.astype(dtype=dtype, order='C')
x_gpu = gpuarray.to_gpu(x)
assert np.allclose(misc.max(x_gpu, axis=0).get(), x.max(axis=0))
assert np.allclose(misc.max(x_gpu, axis=1).get(), x.max(axis=1))
assert np.allclose(misc.min(x_gpu, axis=0).get(), x.min(axis=0))
assert np.allclose(misc.min(x_gpu, axis=1).get(), x.min(axis=1))
x = x.astype(dtype=dtype, order='F')
x_gpu = gpuarray.to_gpu(x)
assert np.allclose(misc.max(x_gpu, axis=0).get(), x.max(axis=0))
assert np.allclose(misc.max(x_gpu, axis=1).get(), x.max(axis=1))
assert np.allclose(misc.min(x_gpu, axis=0).get(), x.min(axis=0))
assert np.allclose(misc.min(x_gpu, axis=1).get(), x.min(axis=1))