def test_gci_cpu_equals_gpu(): nir = create_test_arr(arr1) green = create_test_arr(arr2) cpu = gci(nir, green, use_cuda=False) gpu = gci(nir, green, use_cuda=True) assert np.isclose(cpu, gpu, equal_nan=True).all()
def test_gci_cpu(): # vanilla numpy version nir_numpy = create_test_arr(nir_data) green_numpy = create_test_arr(green_data) numpy_result = gci(nir_numpy, green_numpy) general_output_checks(nir_numpy, numpy_result, gci_expected_results) # dask nir_dask = create_test_arr(nir_data, backend='dask') green_dask = create_test_arr(green_data, backend='dask') dask_result = gci(nir_dask, green_dask) general_output_checks(nir_dask, dask_result, gci_expected_results)
def test_gci_gpu(): # cupy nir_cupy = create_test_arr(nir_data, backend='cupy') green_cupy = create_test_arr(green_data, backend='cupy') cupy_result = gci(nir_cupy, green_cupy) general_output_checks(nir_cupy, cupy_result, gci_expected_results) # dask + cupy nir_dask_cupy = create_test_arr(nir_data, backend='dask+cupy') green_dask_cupy = create_test_arr(green_data, backend='dask+cupy') dask_cupy_result = gci(nir_dask_cupy, green_dask_cupy) general_output_checks(nir_dask_cupy, dask_cupy_result, gci_expected_results)
def test_gci_dask_equals_numpy(): # vanilla numpy version nir = create_test_arr(arr1) green = create_test_arr(arr2) numpy_result = gci(nir, green) # dask nir_dask = create_test_arr(arr1, backend='dask') green_dask = create_test_arr(arr2, backend='dask') test_result = gci(nir_dask, green_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_gci_dask_cupy_equals_numpy(): # vanilla numpy version nir = create_test_arr(arr1) green = create_test_arr(arr2) numpy_result = gci(nir, green) # dask + cupy nir_dask_cupy = create_test_arr(arr1, backend='dask+cupy') green_dask_cupy = create_test_arr(arr2, backend='dask+cupy') test_result = gci(nir_dask_cupy, green_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_gci_cupy_equals_numpy(): import cupy # vanilla numpy version nir = create_test_arr(arr1) green = create_test_arr(arr2) numpy_result = gci(nir, green) # cupy nir_cupy = create_test_arr(arr1, backend='cupy') green_cupy = create_test_arr(arr2, backend='cupy') test_result = gci(nir_cupy, green_cupy) assert isinstance(test_result.data, cupy.ndarray) assert np.isclose(numpy_result, test_result, equal_nan=True).all()
def test_gci(): 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) green = create_test_arr(arr2) result = gci(nir, green) assert result.dims == nir.dims assert isinstance(result, xa.DataArray) assert result.dims == nir.dims
def test_gci_numpy(): nir = create_test_arr(arr1) green = create_test_arr(arr2) result = gci(nir, green) assert result.dims == nir.dims assert isinstance(result, xa.DataArray) assert result.dims == nir.dims
def test_gci(): nir = create_test_arr(arr1) green = create_test_arr(arr2) result = gci(nir, green, use_cuda=False) assert result.dims == nir.dims assert isinstance(result, xa.DataArray) assert result.dims == nir.dims
def test_gci_numpy(): nir = create_test_arr(arr1) # add crs for tests nir = _add_EPSG4326_crs_to_da(nir) green = create_test_arr(arr2) result = gci(nir, green) 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_gci(self, nx, type): gci(self.nir, self.green)
def test_gci_gpu(nir_data, green_data, result_gci): result = gci(nir_data, green_data) general_output_checks(nir_data, result, result_gci)