def test_ndmi_cpu_equals_gpu():
nir = create_test_arr(arr1)
swir = create_test_arr(arr2)
cpu = ndmi(nir, swir, use_cuda=False)
gpu = ndmi(nir, swir, use_cuda=True)
assert np.isclose(cpu, gpu, equal_nan=True).all()
def test_ndmi_cpu():
nir_numpy = create_test_arr(nir_data)
swir1_numpy = create_test_arr(swir1_data)
numpy_result = ndmi(nir_numpy, swir1_numpy)
general_output_checks(nir_numpy, numpy_result, ndmi_expected_results)
# dask
nir_dask = create_test_arr(nir_data, backend='dask')
swir1_dask = create_test_arr(swir1_data, backend='dask')
dask_result = ndmi(nir_dask, swir1_dask)
general_output_checks(nir_dask, dask_result, ndmi_expected_results)
def test_ndmi_gpu():
# cupy
nir_cupy = create_test_arr(nir_data, backend='cupy')
swir1_cupy = create_test_arr(swir1_data, backend='cupy')
cupy_result = ndmi(nir_cupy, swir1_cupy)
general_output_checks(nir_cupy, cupy_result, ndmi_expected_results)
# dask + cupy
nir_dask_cupy = create_test_arr(nir_data, backend='dask+cupy')
swir1_dask_cupy = create_test_arr(swir1_data, backend='dask+cupy')
dask_cupy_result = ndmi(nir_dask_cupy, swir1_dask_cupy)
general_output_checks(nir_dask_cupy, dask_cupy_result,
ndmi_expected_results)
def test_ndmi_dask_cupy_equals_numpy():
# vanilla numpy version
nir = create_test_arr(arr1)
swir1 = create_test_arr(arr2)
numpy_result = ndmi(nir, swir1)
# dask + cupy
nir_dask_cupy = create_test_arr(arr1, backend='dask+cupy')
swir1_dask_cupy = create_test_arr(arr2, backend='dask+cupy')
test_result = ndmi(nir_dask_cupy, swir1_dask_cupy)
assert is_dask_cupy(test_result)
test_result.data = test_result.data.compute()
assert np.isclose(numpy_result, test_result, equal_nan=True).all()
def test_ndmi_dask_equals_numpy():
# vanilla numpy version
nir = create_test_arr(arr1)
swir1 = create_test_arr(arr2)
numpy_result = ndmi(nir, swir1)
# dask
nir_dask = create_test_arr(arr1, backend='dask')
swir1_dask = create_test_arr(arr2, backend='dask')
test_result = ndmi(nir_dask, swir1_dask)
assert isinstance(test_result.data, da.Array)
test_result.data = test_result.data.compute()
assert np.isclose(numpy_result, test_result, equal_nan=True).all()
def test_ndmi_cupy_equals_numpy():
import cupy
# vanilla numpy version
nir = create_test_arr(arr1)
swir1 = create_test_arr(arr2)
numpy_result = ndmi(nir, swir1)
# cupy
nir_cupy = create_test_arr(arr1, backend='cupy')
swir1_cupy = create_test_arr(arr2, backend='cupy')
test_result = ndmi(nir_cupy, swir1_cupy)
assert isinstance(test_result.data, cupy.ndarray)
assert np.isclose(numpy_result, test_result, equal_nan=True).all()
def test_ndmi():
max_val = 2**16 - 1
arr1 = np.array([[max_val, max_val, max_val, max_val],
[max_val, 1000.0, 1000.0, max_val],
[max_val, 1000.0, 1000.0, max_val],
[max_val, 1000.0, 1000.0, max_val],
[max_val, max_val, max_val, max_val]],
dtype=np.float64)
arr2 = np.array(
[[100.0, 100.0, 100.0, 100.0], [100.0, max_val, max_val, 100.0],
[100.0, max_val, max_val, 100.0], [100.0, max_val, max_val, 100.0],
[100.0, 100.0, 100.0, 100.0]],
dtype=np.float64)
nir = create_test_arr(arr1)
swir1 = create_test_arr(arr2)
result = ndmi(nir, swir1)
assert result.dims == nir.dims
assert isinstance(result, xa.DataArray)
assert result.dims == nir.dims
def test_ndmi_numpy():
nir = create_test_arr(arr1)
swir1 = create_test_arr(arr2)
result = ndmi(nir, swir1)
assert result.dims == nir.dims
assert isinstance(result, xa.DataArray)
assert result.dims == nir.dims
def test_ndmi():
nir = create_test_arr(arr1)
swir1 = create_test_arr(arr2)
result = ndmi(nir, swir1, use_cuda=False)
assert result.dims == nir.dims
assert isinstance(result, xa.DataArray)
assert result.dims == nir.dims
def test_ndmi_numpy():
nir = create_test_arr(arr1)
# add crs for tests
nir = _add_EPSG4326_crs_to_da(nir)
swir1 = create_test_arr(arr2)
result = ndmi(nir, swir1)
assert result.dims == nir.dims
assert isinstance(result, xa.DataArray)
assert result.dims == nir.dims
# crs tests
assert result.attrs == nir.attrs
for coord in nir.coords:
assert np.all(result[coord] == nir[coord])
def time_ndmi(self, nx, type):
ndmi(self.nir, self.swir1)
def test_ndmi_gpu(nir_data, swir1_data, result_ndmi):
result = ndmi(nir_data, swir1_data)
general_output_checks(nir_data, result, result_ndmi)
