From fd407df652a1a41f81196927e784a28f58c26b4f Mon Sep 17 00:00:00 2001 From: selmanozleyen Date: Wed, 20 Mar 2024 15:22:27 +0300 Subject: [PATCH 01/19] set ottjax version first and the tests --- pyproject.toml | 2 +- tests/backends/ott/test_backend.py | 2 +- tests/problems/base/test_compound_problem.py | 2 +- tests/problems/base/test_general_problem.py | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 10102d26b..0b223b400 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -55,7 +55,7 @@ dependencies = [ "scanpy>=1.9.3", "wrapt>=1.13.2", "docrep>=0.3.2", - "ott-jax>=0.4.5", + "ott-jax @ git+https://github.com/ott-jax/ott.git@51a658aaa026528a3b9702e3d25c8f7af598cef0", "cloudpickle>=2.2.0", "rich>=13.5", ] diff --git a/tests/backends/ott/test_backend.py b/tests/backends/ott/test_backend.py index 464079d87..f599a2a1f 100644 --- a/tests/backends/ott/test_backend.py +++ b/tests/backends/ott/test_backend.py @@ -12,8 +12,8 @@ from ott.problems.linear.linear_problem import LinearProblem from ott.problems.quadratic import quadratic_problem from ott.problems.quadratic.quadratic_problem import QuadraticProblem +from ott.solvers.linear import solve as sinkhorn from ott.solvers.linear.sinkhorn import Sinkhorn -from ott.solvers.linear.sinkhorn import solve as sinkhorn from ott.solvers.linear.sinkhorn_lr import LRSinkhorn from ott.solvers.quadratic.gromov_wasserstein import GromovWasserstein from ott.solvers.quadratic.gromov_wasserstein_lr import LRGromovWasserstein diff --git a/tests/problems/base/test_compound_problem.py b/tests/problems/base/test_compound_problem.py index 4c2b585fe..12a75a69f 100644 --- a/tests/problems/base/test_compound_problem.py +++ b/tests/problems/base/test_compound_problem.py @@ -7,7 +7,7 @@ import numpy as np from ott.geometry.costs import Cosine, Euclidean, SqEuclidean from ott.geometry.pointcloud import PointCloud -from ott.solvers.linear.sinkhorn import solve as sinkhorn +from ott.solvers.linear import solve as sinkhorn from sklearn.metrics.pairwise import euclidean_distances from anndata import AnnData diff --git a/tests/problems/base/test_general_problem.py b/tests/problems/base/test_general_problem.py index bb0009042..cbf7d2060 100644 --- a/tests/problems/base/test_general_problem.py +++ b/tests/problems/base/test_general_problem.py @@ -6,7 +6,7 @@ import numpy as np import pandas as pd from ott.geometry.pointcloud import PointCloud -from ott.solvers.linear.sinkhorn import solve as sinkhorn +from ott.solvers.linear import solve as sinkhorn import scanpy as sc from anndata import AnnData From a2589dab71cbfffee53138d7242437397eca992b Mon Sep 17 00:00:00 2001 From: selmanozleyen Date: Wed, 20 Mar 2024 17:52:28 +0300 Subject: [PATCH 02/19] recreate solution files with new ottjax version so it doesn't fail --- tests/data/alignment_solutions.pkl | Bin 168570 -> 168672 bytes tests/data/mapping_solutions.pkl | Bin 168538 -> 168674 bytes 2 files changed, 0 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z!2i7Xkdy1-|Lr9T3jhA+AO3$|;`#si|F5_pANapN;`+s|mz-QLPe9fG`3A0DPOev+ i Date: Tue, 26 Mar 2024 10:46:24 +0300 Subject: [PATCH 03/19] update tests with new version, specify inner_iterations --- tests/problems/space/test_alignment_problem.py | 2 +- tests/problems/space/test_mapping_problem.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/problems/space/test_alignment_problem.py b/tests/problems/space/test_alignment_problem.py index ea0ea0b1d..ad20c9bea 100644 --- a/tests/problems/space/test_alignment_problem.py +++ b/tests/problems/space/test_alignment_problem.py @@ -86,7 +86,7 @@ def test_solve_balanced( rank: int, initializer: Optional[Literal["random", "rank2"]], ): - kwargs = {} + kwargs = {'inner_iterations': 10} if rank > -1: kwargs["initializer"] = initializer if initializer == "random": diff --git a/tests/problems/space/test_mapping_problem.py b/tests/problems/space/test_mapping_problem.py index c814f80e5..184e1a95b 100644 --- a/tests/problems/space/test_mapping_problem.py +++ b/tests/problems/space/test_mapping_problem.py @@ -110,7 +110,7 @@ def test_solve_balanced( initializer: Optional[Literal["random", "rank2"]], ): adataref, adatasp = _adata_spatial_split(adata_mapping) - kwargs = {} + kwargs = {"inner_iterations": 10} if rank > -1: kwargs["initializer"] = initializer if initializer == "random": From bdac69ba6eed5d0cbc823ab0599d6bf72351aad3 Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Tue, 26 Mar 2024 07:46:49 +0000 Subject: [PATCH 04/19] [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --- tests/problems/space/test_alignment_problem.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/problems/space/test_alignment_problem.py b/tests/problems/space/test_alignment_problem.py index ad20c9bea..093f78cb8 100644 --- a/tests/problems/space/test_alignment_problem.py +++ b/tests/problems/space/test_alignment_problem.py @@ -86,7 +86,7 @@ def test_solve_balanced( rank: int, initializer: Optional[Literal["random", "rank2"]], ): - kwargs = {'inner_iterations': 10} + kwargs = {"inner_iterations": 10} if rank > -1: kwargs["initializer"] = initializer if initializer == "random": From f3c54be4fe77566c7e92f11d2884d251159579d1 Mon Sep 17 00:00:00 2001 From: selmanozleyen Date: Tue, 26 Mar 2024 11:30:37 +0300 Subject: [PATCH 05/19] add comments on issues --- tests/problems/space/test_alignment_problem.py | 1 + tests/problems/space/test_mapping_problem.py | 1 + 2 files changed, 2 insertions(+) diff --git a/tests/problems/space/test_alignment_problem.py b/tests/problems/space/test_alignment_problem.py index 093f78cb8..261e2b15f 100644 --- a/tests/problems/space/test_alignment_problem.py +++ b/tests/problems/space/test_alignment_problem.py @@ -86,6 +86,7 @@ def test_solve_balanced( rank: int, initializer: Optional[Literal["random", "rank2"]], ): + # check https://github.com/ott-jax/ott/issues/495 kwargs = {"inner_iterations": 10} if rank > -1: kwargs["initializer"] = initializer diff --git a/tests/problems/space/test_mapping_problem.py b/tests/problems/space/test_mapping_problem.py index 184e1a95b..6a8020a4f 100644 --- a/tests/problems/space/test_mapping_problem.py +++ b/tests/problems/space/test_mapping_problem.py @@ -110,6 +110,7 @@ def test_solve_balanced( initializer: Optional[Literal["random", "rank2"]], ): adataref, adatasp = _adata_spatial_split(adata_mapping) + # check https://github.com/ott-jax/ott/issues/495 kwargs = {"inner_iterations": 10} if rank > -1: kwargs["initializer"] = initializer From ceb2f08d738ab5f93b4e41c9f7a94af7afce508c Mon Sep 17 00:00:00 2001 From: selmanozleyen Date: Tue, 26 Mar 2024 19:32:47 +0300 Subject: [PATCH 06/19] first draft of geodesic sparse need to add more tests --- src/moscot/backends/ott/_utils.py | 30 ++++++++++++-- src/moscot/backends/ott/solver.py | 8 +++- tests/backends/ott/test_backend_utils.py | 53 ++++++++++++++++++++++++ 3 files changed, 86 insertions(+), 5 deletions(-) create mode 100644 tests/backends/ott/test_backend_utils.py diff --git a/src/moscot/backends/ott/_utils.py b/src/moscot/backends/ott/_utils.py index fc623ac8e..1ed7a0cc8 100644 --- a/src/moscot/backends/ott/_utils.py +++ b/src/moscot/backends/ott/_utils.py @@ -1,6 +1,7 @@ from typing import Any, Literal, Optional, Tuple, Union import jax +import jax.experimental.sparse as jesp import jax.numpy as jnp import scipy.sparse as sp from ott.geometry import epsilon_scheduler, geodesic, geometry, pointcloud @@ -67,6 +68,25 @@ def alpha_to_fused_penalty(alpha: float) -> float: return (1 - alpha) / alpha +def densify(arr: ArrayLike) -> jax.Array: + """If the input is sparse, convert it t dense. + + Parameters + ---------- + arr + Array to check. + + Returns + ------- + dense :mod:`jax` array. + """ + if sp.issparse(arr): + arr = arr.A # type: ignore[attr-defined] + elif isinstance(arr, jesp.BCOO): + arr = arr.todense() + return jnp.asarray(arr) + + def ensure_2d(arr: ArrayLike, *, reshape: bool = False) -> jax.Array: """Ensure that an array is 2-dimensional. @@ -81,9 +101,6 @@ def ensure_2d(arr: ArrayLike, *, reshape: bool = False) -> jax.Array: ------- 2-dimensional :mod:`jax` array. """ - if sp.issparse(arr): - arr = arr.A # type: ignore[attr-defined] - arr = jnp.asarray(arr) if reshape and arr.ndim == 1: return jnp.reshape(arr, (-1, 1)) if arr.ndim != 2: @@ -91,6 +108,13 @@ def ensure_2d(arr: ArrayLike, *, reshape: bool = False) -> jax.Array: return arr +def convert_scipy_sparse(arr: Union[sp.spmatrix, jesp.BCOO]) -> jesp.BCOO: + """ If the input is a scipy sparse matrix, convert it to a jax BCOO.""" + if sp.issparse(arr): + return jesp.BCOO.from_scipy_sparse(arr) + return arr + + def _instantiate_geodesic_cost( arr: jax.Array, problem_shape: Tuple[int, int], diff --git a/src/moscot/backends/ott/solver.py b/src/moscot/backends/ott/solver.py index f8130eab2..9d280d892 100644 --- a/src/moscot/backends/ott/solver.py +++ b/src/moscot/backends/ott/solver.py @@ -16,6 +16,8 @@ _instantiate_geodesic_cost, alpha_to_fused_penalty, check_shapes, + convert_scipy_sparse, + densify, ensure_2d, ) from moscot.backends.ott.output import GraphOTTOutput, OTTOutput @@ -76,8 +78,8 @@ def _create_geometry( if not isinstance(cost_fn, costs.CostFn): raise TypeError(f"Expected `cost_fn` to be `ott.geometry.costs.CostFn`, found `{type(cost_fn)}`.") - y = None if x.data_tgt is None else ensure_2d(x.data_tgt, reshape=True) - x = ensure_2d(x.data_src, reshape=True) + y = None if x.data_tgt is None else densify(ensure_2d(x.data_tgt, reshape=True)) + x = densify(ensure_2d(x.data_src, reshape=True)) if y is not None and x.shape[1] != y.shape[1]: raise ValueError( f"Expected `x/y` to have the same number of dimensions, found `{x.shape[1]}/{y.shape[1]}`." @@ -94,6 +96,8 @@ def _create_geometry( ) arr = ensure_2d(x.data_src, reshape=False) + arr = densify(arr) if x.is_graph else convert_scipy_sparse(arr) + if x.is_cost_matrix: return geometry.Geometry( cost_matrix=arr, epsilon=epsilon, relative_epsilon=relative_epsilon, scale_cost=scale_cost diff --git a/tests/backends/ott/test_backend_utils.py b/tests/backends/ott/test_backend_utils.py new file mode 100644 index 000000000..394d77038 --- /dev/null +++ b/tests/backends/ott/test_backend_utils.py @@ -0,0 +1,53 @@ +from typing import Optional, Tuple, Type, Union + +import pytest + +import jax +import jax.numpy as jnp +import numpy as np +from ott.geometry import costs +from ott.geometry.geometry import Geometry +from ott.geometry.low_rank import LRCGeometry +from ott.geometry.pointcloud import PointCloud +from ott.problems.linear.linear_problem import LinearProblem +from ott.problems.quadratic import quadratic_problem +from ott.problems.quadratic.quadratic_problem import QuadraticProblem +from ott.solvers.linear import solve as sinkhorn +from ott.solvers.linear.sinkhorn import Sinkhorn +from ott.solvers.linear.sinkhorn_lr import LRSinkhorn +from ott.solvers.quadratic.gromov_wasserstein import GromovWasserstein +from ott.solvers.quadratic.gromov_wasserstein_lr import LRGromovWasserstein + +from moscot._types import ArrayLike, Device_t +from moscot.backends.ott import GWSolver, SinkhornSolver +from moscot.backends.ott._utils import alpha_to_fused_penalty +from moscot.base.output import BaseSolverOutput +from moscot.base.solver import O, OTSolver +from moscot.backends.ott._utils import _instantiate_geodesic_cost + +import jax.experimental.sparse as jesp +import scipy.sparse as sp +import networkx as nx +from networkx.generators import balanced_tree, random_graphs + + +class TestBackendUtils: + + @staticmethod + def test_instantiate_geodesic_cost(): + m, n = 10, 10 + problem_shape = 10, 10 + g = sp.rand(m, n, 0.1, dtype=np.float64) + g = jesp.BCOO.from_scipy_sparse(g) + geom = _instantiate_geodesic_cost(g, problem_shape, 1.0, False) + assert isinstance(geom, Geometry) + with pytest.raises(ValueError, match="Expected `x` to have"): + _instantiate_geodesic_cost(g, problem_shape, 1.0, True) + geom = _instantiate_geodesic_cost(g, (5, 5), 1.0, True) + + + + + + + From bf25bb75307bd1d802ea43fde336829979ca8ab6 Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Tue, 26 Mar 2024 16:33:09 +0000 Subject: [PATCH 07/19] [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --- src/moscot/backends/ott/_utils.py | 2 +- tests/backends/ott/test_backend_utils.py | 37 ++++-------------------- 2 files changed, 6 insertions(+), 33 deletions(-) diff --git a/src/moscot/backends/ott/_utils.py b/src/moscot/backends/ott/_utils.py index 1ed7a0cc8..71523e2ad 100644 --- a/src/moscot/backends/ott/_utils.py +++ b/src/moscot/backends/ott/_utils.py @@ -109,7 +109,7 @@ def ensure_2d(arr: ArrayLike, *, reshape: bool = False) -> jax.Array: def convert_scipy_sparse(arr: Union[sp.spmatrix, jesp.BCOO]) -> jesp.BCOO: - """ If the input is a scipy sparse matrix, convert it to a jax BCOO.""" + """If the input is a scipy sparse matrix, convert it to a jax BCOO.""" if sp.issparse(arr): return jesp.BCOO.from_scipy_sparse(arr) return arr diff --git a/tests/backends/ott/test_backend_utils.py b/tests/backends/ott/test_backend_utils.py index 394d77038..4636d6da5 100644 --- a/tests/backends/ott/test_backend_utils.py +++ b/tests/backends/ott/test_backend_utils.py @@ -1,34 +1,14 @@ -from typing import Optional, Tuple, Type, Union import pytest -import jax -import jax.numpy as jnp +import jax.experimental.sparse as jesp import numpy as np -from ott.geometry import costs +import scipy.sparse as sp from ott.geometry.geometry import Geometry -from ott.geometry.low_rank import LRCGeometry -from ott.geometry.pointcloud import PointCloud -from ott.problems.linear.linear_problem import LinearProblem -from ott.problems.quadratic import quadratic_problem -from ott.problems.quadratic.quadratic_problem import QuadraticProblem -from ott.solvers.linear import solve as sinkhorn -from ott.solvers.linear.sinkhorn import Sinkhorn -from ott.solvers.linear.sinkhorn_lr import LRSinkhorn -from ott.solvers.quadratic.gromov_wasserstein import GromovWasserstein -from ott.solvers.quadratic.gromov_wasserstein_lr import LRGromovWasserstein - -from moscot._types import ArrayLike, Device_t -from moscot.backends.ott import GWSolver, SinkhornSolver -from moscot.backends.ott._utils import alpha_to_fused_penalty -from moscot.base.output import BaseSolverOutput -from moscot.base.solver import O, OTSolver -from moscot.backends.ott._utils import _instantiate_geodesic_cost -import jax.experimental.sparse as jesp -import scipy.sparse as sp -import networkx as nx -from networkx.generators import balanced_tree, random_graphs +from moscot.backends.ott._utils import ( + _instantiate_geodesic_cost, +) class TestBackendUtils: @@ -44,10 +24,3 @@ def test_instantiate_geodesic_cost(): with pytest.raises(ValueError, match="Expected `x` to have"): _instantiate_geodesic_cost(g, problem_shape, 1.0, True) geom = _instantiate_geodesic_cost(g, (5, 5), 1.0, True) - - - - - - - From d41f2a0013d30e23f494a3c3f2becb7c429abce0 Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Tue, 26 Mar 2024 16:37:05 +0000 Subject: [PATCH 08/19] [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --- tests/backends/ott/test_backend_utils.py | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/tests/backends/ott/test_backend_utils.py b/tests/backends/ott/test_backend_utils.py index 4636d6da5..c7296a7b6 100644 --- a/tests/backends/ott/test_backend_utils.py +++ b/tests/backends/ott/test_backend_utils.py @@ -1,4 +1,3 @@ - import pytest import jax.experimental.sparse as jesp @@ -6,9 +5,7 @@ import scipy.sparse as sp from ott.geometry.geometry import Geometry -from moscot.backends.ott._utils import ( - _instantiate_geodesic_cost, -) +from moscot.backends.ott._utils import _instantiate_geodesic_cost class TestBackendUtils: From 5b836214d12cd6a2a5578fc0c1a4b1ce0aee9b5c Mon Sep 17 00:00:00 2001 From: selmanozleyen Date: Thu, 4 Apr 2024 01:10:47 +0200 Subject: [PATCH 09/19] set to new ottjax commit --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index ab6489453..849a325e6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -55,7 +55,7 @@ dependencies = [ "scanpy>=1.9.3", "wrapt>=1.13.2", "docrep>=0.3.2", - "ott-jax @ git+https://github.com/ott-jax/ott.git@51a658aaa026528a3b9702e3d25c8f7af598cef0", + "ott-jax @ git+https://github.com/ott-jax/ott.git@e1bbd34aaa6c003258912caf478bbfd718a750a0", "cloudpickle>=2.2.0", "rich>=13.5", ] From be09dd7ce0b72f29ba170049dc6b14875e8788ab Mon Sep 17 00:00:00 2001 From: selmanozleyen Date: Tue, 7 May 2024 16:48:43 +0200 Subject: [PATCH 10/19] revert old commit that fixes the lr case --- tests/problems/space/test_alignment_problem.py | 3 +-- tests/problems/space/test_mapping_problem.py | 3 +-- 2 files changed, 2 insertions(+), 4 deletions(-) diff --git a/tests/problems/space/test_alignment_problem.py b/tests/problems/space/test_alignment_problem.py index f874c1c1f..163cc99b1 100644 --- a/tests/problems/space/test_alignment_problem.py +++ b/tests/problems/space/test_alignment_problem.py @@ -87,8 +87,7 @@ def test_solve_balanced( rank: int, initializer: Optional[Literal["random", "rank2"]], ): - # check https://github.com/ott-jax/ott/issues/495 - kwargs = {"inner_iterations": 10} + kwargs = {} if rank > -1: kwargs["initializer"] = initializer if initializer == "random": diff --git a/tests/problems/space/test_mapping_problem.py b/tests/problems/space/test_mapping_problem.py index 9703a4fd3..1922d8bc1 100644 --- a/tests/problems/space/test_mapping_problem.py +++ b/tests/problems/space/test_mapping_problem.py @@ -111,8 +111,7 @@ def test_solve_balanced( initializer: Optional[Literal["random", "rank2"]], ): adataref, adatasp = _adata_spatial_split(adata_mapping) - # check https://github.com/ott-jax/ott/issues/495 - kwargs = {"inner_iterations": 10} + kwargs = {} if rank > -1: kwargs["initializer"] = initializer if initializer == "random": From 9672916adf501058243869196ab8cbf86100cf27 Mon Sep 17 00:00:00 2001 From: selmanozleyen Date: Tue, 7 May 2024 16:51:03 +0200 Subject: [PATCH 11/19] set new version of ottjax instead of commit --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 849a325e6..84f8a9ccb 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -55,7 +55,7 @@ dependencies = [ "scanpy>=1.9.3", "wrapt>=1.13.2", "docrep>=0.3.2", - "ott-jax @ git+https://github.com/ott-jax/ott.git@e1bbd34aaa6c003258912caf478bbfd718a750a0", + "ott-jax>=0.4.6", "cloudpickle>=2.2.0", "rich>=13.5", ] From 1781ea409c332da71f00688b2b3c8aa477784ca2 Mon Sep 17 00:00:00 2001 From: selmanozleyen Date: Tue, 7 May 2024 17:37:11 +0200 Subject: [PATCH 12/19] fix and modify the geodesic cost tests --- tests/problems/space/test_mapping_problem.py | 38 ++++++++++++++------ 1 file changed, 27 insertions(+), 11 deletions(-) diff --git a/tests/problems/space/test_mapping_problem.py b/tests/problems/space/test_mapping_problem.py index 1922d8bc1..903c02611 100644 --- a/tests/problems/space/test_mapping_problem.py +++ b/tests/problems/space/test_mapping_problem.py @@ -5,6 +5,7 @@ import numpy as np import pandas as pd +import scipy.sparse as sp from ott.geometry import epsilon_scheduler import anndata as ad @@ -134,7 +135,8 @@ def test_solve_balanced( @pytest.mark.parametrize("key", ["connectivities", "distances"]) @pytest.mark.parametrize("geodesic_y", [True, False]) - def test_geodesic_cost_xy(self, adata_mapping: AnnData, key: str, geodesic_y: bool): + @pytest.mark.parametrize("dense_input", [True, False]) + def test_geodesic_cost_xy(self, adata_mapping: AnnData, key: str, geodesic_y: bool, dense_input: bool): adataref, adatasp = _adata_spatial_split(adata_mapping) batch_column = "batch" @@ -146,20 +148,34 @@ def test_geodesic_cost_xy(self, adata_mapping: AnnData, key: str, geodesic_y: bo adata_spatial_subset = adatasp[indices] adata_subset = ad.concat([adata_spatial_subset, adataref]) sc.pp.neighbors(adata_subset, n_neighbors=15, use_rep="X") - dfs.append( + df = ( pd.DataFrame( index=adata_subset.obs_names, columns=adata_subset.obs_names, - data=adata_subset.obsp["connectivities"].A.astype("float64"), + data=adata_subset.obsp[key].A.astype("float64"), + ) + if dense_input + else ( + adata_subset.obsp[key].astype("float64"), + adata_subset.obs_names.to_series(), + adata_subset.obs_names.to_series(), ) ) + dfs.append(df) if geodesic_y: sc.pp.neighbors(adataref, n_neighbors=15, use_rep="X") - df_y = pd.DataFrame( - index=adataref.obs_names, - columns=adataref.obs_names, - data=adataref.obsp["connectivities"].A.astype("float64"), + df_y = ( + pd.DataFrame( + index=adataref.obs_names, + columns=adataref.obs_names, + data=adataref.obsp[key].A.astype("float64"), + ) + if dense_input + else ( + adataref.obsp[key].astype("float64"), + adataref.obs_names.to_series(), + ) ) mp: MappingProblem = MappingProblem(adataref, adatasp) @@ -175,28 +191,28 @@ def test_geodesic_cost_xy(self, adata_mapping: AnnData, key: str, geodesic_y: bo ta = mp[("1", "ref")].xy assert isinstance(ta, TaggedArray) - assert isinstance(ta.data_src, np.ndarray) # this will change once OTT-JAX allows for sparse matrices + assert isinstance(ta.data_src, np.ndarray) if dense_input else sp.issparse(ta.data_src) assert ta.data_tgt is None assert ta.tag == Tag.GRAPH assert ta.cost == "geodesic" if geodesic_y: ta = mp[("1", "ref")].y assert isinstance(ta, TaggedArray) - assert isinstance(ta.data_src, np.ndarray) # this will change once OTT-JAX allows for sparse matrices + assert isinstance(ta.data_src, np.ndarray) if dense_input else sp.issparse(ta.data_src) assert ta.data_tgt is None assert ta.tag == Tag.GRAPH assert ta.cost == "geodesic" ta = mp[("2", "ref")].xy assert isinstance(ta, TaggedArray) - assert isinstance(ta.data_src, np.ndarray) # this will change once OTT-JAX allows for sparse matrices + assert isinstance(ta.data_src, np.ndarray) if dense_input else sp.issparse(ta.data_src) assert ta.data_tgt is None assert ta.tag == Tag.GRAPH assert ta.cost == "geodesic" if geodesic_y: ta = mp[("2", "ref")].y assert isinstance(ta, TaggedArray) - assert isinstance(ta.data_src, np.ndarray) # this will change once OTT-JAX allows for sparse matrices + assert isinstance(ta.data_src, np.ndarray) if dense_input else sp.issparse(ta.data_src) assert ta.data_tgt is None assert ta.tag == Tag.GRAPH assert ta.cost == "geodesic" From b5d530928ac13c3df7d640d36bb9d46872f83768 Mon Sep 17 00:00:00 2001 From: selmanozleyen Date: Mon, 13 May 2024 22:24:48 +0200 Subject: [PATCH 13/19] typo fix --- src/moscot/backends/ott/_utils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/moscot/backends/ott/_utils.py b/src/moscot/backends/ott/_utils.py index 71523e2ad..34cd5916b 100644 --- a/src/moscot/backends/ott/_utils.py +++ b/src/moscot/backends/ott/_utils.py @@ -69,7 +69,7 @@ def alpha_to_fused_penalty(alpha: float) -> float: def densify(arr: ArrayLike) -> jax.Array: - """If the input is sparse, convert it t dense. + """If the input is sparse, convert it to dense. Parameters ---------- From 2bc3f409a3ff4809ada09e3c0c7fcdeb2bdcca62 Mon Sep 17 00:00:00 2001 From: selmanozleyen Date: Mon, 13 May 2024 22:47:17 +0200 Subject: [PATCH 14/19] fix doc and add tests --- src/moscot/utils/tagged_array.py | 8 ------- tests/problems/time/test_temporal_problem.py | 23 ++++++++++++-------- 2 files changed, 14 insertions(+), 17 deletions(-) diff --git a/src/moscot/utils/tagged_array.py b/src/moscot/utils/tagged_array.py index 2bb62f682..e18620a31 100644 --- a/src/moscot/utils/tagged_array.py +++ b/src/moscot/utils/tagged_array.py @@ -3,11 +3,9 @@ from typing import Any, Callable, Literal, Optional, Tuple, Union import numpy as np -import scipy.sparse as sp from anndata import AnnData -from moscot._logging import logger from moscot._types import ArrayLike, CostFn_t from moscot.costs import get_cost @@ -67,9 +65,6 @@ def _extract_data( except IndexError: raise IndexError(f"Unable to fetch data from `{modifier}`.") from None - if sp.issparse(data): - logger.warning(f"Densifying data in `{modifier}`") - data = data.A if data.ndim != 2: raise ValueError(f"Expected `{modifier}` to have `2` dimensions, found `{data.ndim}`.") @@ -102,9 +97,6 @@ def from_adata( ) -> "TaggedArray": """Create tagged array from :class:`~anndata.AnnData`. - .. warning:: - Sparse arrays will be always densified. - Parameters ---------- adata diff --git a/tests/problems/time/test_temporal_problem.py b/tests/problems/time/test_temporal_problem.py index a11e2a93c..d98fc783d 100644 --- a/tests/problems/time/test_temporal_problem.py +++ b/tests/problems/time/test_temporal_problem.py @@ -7,6 +7,7 @@ import pandas as pd from ott.geometry import costs, epsilon_scheduler from scipy.sparse import csr_matrix +import scipy.sparse as sp import scanpy as sc from anndata import AnnData @@ -249,7 +250,8 @@ def test_result_compares_to_wot(self, gt_temporal_adata: AnnData): np.array(tp[key_1, key_3].solution.transport_matrix), ) - def test_geodesic_cost_set_xy_cost_dense(self, adata_time): + @pytest.mark.parametrize("dense_input", [True, False]) + def test_geodesic_cost_set_xy_cost_dense(self, adata_time, dense_input): # TODO(@MUCDK) add test for failure case tp = TemporalProblem(adata_time) tp = tp.prepare("time", joint_attr="X_pca") @@ -264,20 +266,23 @@ def test_geodesic_cost_set_xy_cost_dense(self, adata_time): indices = np.where((adata_time.obs[batch_column] == batch1) | (adata_time.obs[batch_column] == batch2))[0] adata_subset = adata_time[indices] sc.pp.neighbors(adata_subset, n_neighbors=15, use_rep="X_pca") - dfs.append( - pd.DataFrame( - index=adata_subset.obs_names, - columns=adata_subset.obs_names, - data=adata_subset.obsp["connectivities"].A.astype("float64"), - ) + df = pd.DataFrame( + index=adata_subset.obs_names, + columns=adata_subset.obs_names, + data=adata_subset.obsp["connectivities"].A.astype("float64"), + ) if dense_input else ( + adata_subset.obsp["connectivities"].astype("float64"), + adata_subset.obs_names.to_series(), + adata_subset.obs_names.to_series(), ) + dfs.append(df) tp[0, 1].set_graph_xy(dfs[0], cost="geodesic") tp = tp.solve(max_iterations=2, lse_mode=False) ta = tp[0, 1].xy assert isinstance(ta, TaggedArray) - assert isinstance(ta.data_src, np.ndarray) + assert isinstance(ta.data_src, np.ndarray) if dense_input else sp.issparse(ta.data_src) assert ta.data_tgt is None assert ta.tag == Tag.GRAPH assert ta.cost == "geodesic" @@ -287,7 +292,7 @@ def test_geodesic_cost_set_xy_cost_dense(self, adata_time): ta = tp[1, 2].xy assert isinstance(ta, TaggedArray) - assert isinstance(ta.data_src, np.ndarray) + assert isinstance(ta.data_src, np.ndarray) if dense_input else sp.issparse(ta.data_src) assert ta.data_tgt is None assert ta.tag == Tag.GRAPH assert ta.cost == "geodesic" From 4b523249cc0d58edd8d7bf827461c51a5b46b60f Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Mon, 13 May 2024 20:47:34 +0000 Subject: [PATCH 15/19] [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --- tests/problems/time/test_temporal_problem.py | 22 ++++++++++++-------- 1 file changed, 13 insertions(+), 9 deletions(-) diff --git a/tests/problems/time/test_temporal_problem.py b/tests/problems/time/test_temporal_problem.py index d98fc783d..02c4935e3 100644 --- a/tests/problems/time/test_temporal_problem.py +++ b/tests/problems/time/test_temporal_problem.py @@ -5,9 +5,9 @@ import jax.numpy as jnp import numpy as np import pandas as pd +import scipy.sparse as sp from ott.geometry import costs, epsilon_scheduler from scipy.sparse import csr_matrix -import scipy.sparse as sp import scanpy as sc from anndata import AnnData @@ -266,14 +266,18 @@ def test_geodesic_cost_set_xy_cost_dense(self, adata_time, dense_input): indices = np.where((adata_time.obs[batch_column] == batch1) | (adata_time.obs[batch_column] == batch2))[0] adata_subset = adata_time[indices] sc.pp.neighbors(adata_subset, n_neighbors=15, use_rep="X_pca") - df = pd.DataFrame( - index=adata_subset.obs_names, - columns=adata_subset.obs_names, - data=adata_subset.obsp["connectivities"].A.astype("float64"), - ) if dense_input else ( - adata_subset.obsp["connectivities"].astype("float64"), - adata_subset.obs_names.to_series(), - adata_subset.obs_names.to_series(), + df = ( + pd.DataFrame( + index=adata_subset.obs_names, + columns=adata_subset.obs_names, + data=adata_subset.obsp["connectivities"].A.astype("float64"), + ) + if dense_input + else ( + adata_subset.obsp["connectivities"].astype("float64"), + adata_subset.obs_names.to_series(), + adata_subset.obs_names.to_series(), + ) ) dfs.append(df) From 34d0520b6c795204ffdf1f011a8fde1c11664b43 Mon Sep 17 00:00:00 2001 From: selmanozleyen Date: Tue, 14 May 2024 01:11:34 +0200 Subject: [PATCH 16/19] still densify for other costs --- src/moscot/utils/tagged_array.py | 15 ++++++++++++--- 1 file changed, 12 insertions(+), 3 deletions(-) diff --git a/src/moscot/utils/tagged_array.py b/src/moscot/utils/tagged_array.py index e18620a31..163f07535 100644 --- a/src/moscot/utils/tagged_array.py +++ b/src/moscot/utils/tagged_array.py @@ -3,9 +3,11 @@ from typing import Any, Callable, Literal, Optional, Tuple, Union import numpy as np +import scipy.sparse as sp from anndata import AnnData +from moscot._logging import logger from moscot._types import ArrayLike, CostFn_t from moscot.costs import get_cost @@ -53,6 +55,7 @@ def _extract_data( *, attr: Literal["X", "obsp", "obsm", "layers", "uns"], key: Optional[str] = None, + densify: bool = False, ) -> ArrayLike: modifier = f"adata.{attr}" if key is None else f"adata.{attr}[{key!r}]" data = getattr(adata, attr) @@ -65,6 +68,9 @@ def _extract_data( except IndexError: raise IndexError(f"Unable to fetch data from `{modifier}`.") from None + if sp.issparse(data) and densify: + logger.warning(f"Densifying data in `{modifier}`") + data = data.A if data.ndim != 2: raise ValueError(f"Expected `{modifier}` to have `2` dimensions, found `{data.ndim}`.") @@ -97,6 +103,9 @@ def from_adata( ) -> "TaggedArray": """Create tagged array from :class:`~anndata.AnnData`. + .. warning:: + Sparse arrays will be densified except when ``tag = Tag.GRAPH``. + Parameters ---------- adata @@ -129,13 +138,13 @@ def from_adata( if tag == Tag.GRAPH: if cost == "geodesic": dist_key = f"{dist_key[0]}_{dist_key[1]}" if isinstance(dist_key, tuple) else dist_key - data = cls._extract_data(adata, attr=attr, key=f"{dist_key}_{key}") + data = cls._extract_data(adata, attr=attr, key=f"{dist_key}_{key}", densify=False) return cls(data_src=data, tag=Tag.GRAPH, cost="geodesic") raise ValueError(f"Expected `cost=geodesic`, found `{cost}`.") if tag == Tag.COST_MATRIX: if cost == "custom": # our custom cost functions modifier = f"adata.{attr}" if key is None else f"adata.{attr}[{key!r}]" - data = cls._extract_data(adata, attr=attr, key=key) + data = cls._extract_data(adata, attr=attr, key=key, densify=True) if np.any(data < 0): raise ValueError(f"Cost matrix in `{modifier}` contains negative values.") return cls(data_src=data, tag=Tag.COST_MATRIX, cost=None) @@ -145,7 +154,7 @@ def from_adata( return cls(data_src=cost_matrix, tag=Tag.COST_MATRIX, cost=None) # tag is either a point cloud or a kernel - data = cls._extract_data(adata, attr=attr, key=key) + data = cls._extract_data(adata, attr=attr, key=key, densify=True) cost_fn = get_cost(cost, backend=backend, **kwargs) return cls(data_src=data, tag=tag, cost=cost_fn) From cc21b1f3e86d4398a489a7b157d72f25cbc8f85e Mon Sep 17 00:00:00 2001 From: selmanozleyen Date: Tue, 14 May 2024 01:13:04 +0200 Subject: [PATCH 17/19] fix docs --- src/moscot/utils/tagged_array.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/moscot/utils/tagged_array.py b/src/moscot/utils/tagged_array.py index 163f07535..7f89fa073 100644 --- a/src/moscot/utils/tagged_array.py +++ b/src/moscot/utils/tagged_array.py @@ -104,7 +104,7 @@ def from_adata( """Create tagged array from :class:`~anndata.AnnData`. .. warning:: - Sparse arrays will be densified except when ``tag = Tag.GRAPH``. + Sparse arrays will be densified except when ``tag = 'graph'``. Parameters ---------- From 0811e826583b53f0a6daff587bea6cc7a4bd034b Mon Sep 17 00:00:00 2001 From: selmanozleyen Date: Tue, 14 May 2024 09:14:56 +0200 Subject: [PATCH 18/19] add the final tests --- .../problems/space/test_alignment_problem.py | 23 +++++++++++-------- tests/problems/time/test_temporal_problem.py | 2 +- 2 files changed, 15 insertions(+), 10 deletions(-) diff --git a/tests/problems/space/test_alignment_problem.py b/tests/problems/space/test_alignment_problem.py index 163cc99b1..810ec97e6 100644 --- a/tests/problems/space/test_alignment_problem.py +++ b/tests/problems/space/test_alignment_problem.py @@ -5,6 +5,7 @@ import numpy as np import pandas as pd +import scipy.sparse as sp from ott.geometry import epsilon_scheduler import scanpy as sc @@ -127,7 +128,8 @@ def test_solve_unbalanced(self, adata_space_rotate: AnnData): assert np.allclose(*(sol.cost for sol in ap.solutions.values()), rtol=1e-5, atol=1e-5) @pytest.mark.parametrize("key", ["connectivities", "distances"]) - def test_geodesic_cost_xy(self, adata_space_rotate: AnnData, key: str): + @pytest.mark.parametrize("dense_input", [True, False]) + def test_geodesic_cost_xy(self, adata_space_rotate: AnnData, key: str, dense_input: bool): batch_column = "batch" unique_batches = adata_space_rotate.obs[batch_column].unique() @@ -140,13 +142,16 @@ def test_geodesic_cost_xy(self, adata_space_rotate: AnnData, key: str): )[0] adata_subset = adata_space_rotate[indices] sc.pp.neighbors(adata_subset, n_neighbors=15, use_rep="X_pca") - dfs.append( - pd.DataFrame( - index=adata_subset.obs_names, - columns=adata_subset.obs_names, - data=adata_subset.obsp["connectivities"].A.astype("float64"), - ) + df = pd.DataFrame( + index=adata_subset.obs_names, + columns=adata_subset.obs_names, + data=adata_subset.obsp[key].A.astype("float64"), + ) if dense_input else ( + adata_subset.obsp[key].astype("float64"), + adata_subset.obs_names.to_series(), + adata_subset.obs_names.to_series(), ) + dfs.append(df) ap: AlignmentProblem = AlignmentProblem(adata=adata_space_rotate) ap = ap.prepare(batch_key=batch_column, joint_attr={"attr": "obsm", "key": "X_pca"}) @@ -157,14 +162,14 @@ def test_geodesic_cost_xy(self, adata_space_rotate: AnnData, key: str): ta = ap[("0", "1")].xy assert isinstance(ta, TaggedArray) - assert isinstance(ta.data_src, np.ndarray) # this will change once OTT-JAX allows for sparse matrices + assert isinstance(ta.data_src, np.ndarray) if dense_input else sp.issparse(ta.data_src) assert ta.data_tgt is None assert ta.tag == Tag.GRAPH assert ta.cost == "geodesic" ta = ap[("1", "2")].xy assert isinstance(ta, TaggedArray) - assert isinstance(ta.data_src, np.ndarray) # this will change once OTT-JAX allows for sparse matrices + assert isinstance(ta.data_src, np.ndarray) if dense_input else sp.issparse(ta.data_src) assert ta.data_tgt is None assert ta.tag == Tag.GRAPH assert ta.cost == "geodesic" diff --git a/tests/problems/time/test_temporal_problem.py b/tests/problems/time/test_temporal_problem.py index 02c4935e3..7858eb613 100644 --- a/tests/problems/time/test_temporal_problem.py +++ b/tests/problems/time/test_temporal_problem.py @@ -251,7 +251,7 @@ def test_result_compares_to_wot(self, gt_temporal_adata: AnnData): ) @pytest.mark.parametrize("dense_input", [True, False]) - def test_geodesic_cost_set_xy_cost_dense(self, adata_time, dense_input): + def test_geodesic_cost_set_xy_cost(self, adata_time, dense_input): # TODO(@MUCDK) add test for failure case tp = TemporalProblem(adata_time) tp = tp.prepare("time", joint_attr="X_pca") From 59a46563d30798c0cbda91c2dc2a571844791cf0 Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Tue, 14 May 2024 07:15:15 +0000 Subject: [PATCH 19/19] [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --- .../problems/space/test_alignment_problem.py | 20 +++++++++++-------- 1 file changed, 12 insertions(+), 8 deletions(-) diff --git a/tests/problems/space/test_alignment_problem.py b/tests/problems/space/test_alignment_problem.py index 810ec97e6..d6a78c063 100644 --- a/tests/problems/space/test_alignment_problem.py +++ b/tests/problems/space/test_alignment_problem.py @@ -142,14 +142,18 @@ def test_geodesic_cost_xy(self, adata_space_rotate: AnnData, key: str, dense_inp )[0] adata_subset = adata_space_rotate[indices] sc.pp.neighbors(adata_subset, n_neighbors=15, use_rep="X_pca") - df = pd.DataFrame( - index=adata_subset.obs_names, - columns=adata_subset.obs_names, - data=adata_subset.obsp[key].A.astype("float64"), - ) if dense_input else ( - adata_subset.obsp[key].astype("float64"), - adata_subset.obs_names.to_series(), - adata_subset.obs_names.to_series(), + df = ( + pd.DataFrame( + index=adata_subset.obs_names, + columns=adata_subset.obs_names, + data=adata_subset.obsp[key].A.astype("float64"), + ) + if dense_input + else ( + adata_subset.obsp[key].astype("float64"), + adata_subset.obs_names.to_series(), + adata_subset.obs_names.to_series(), + ) ) dfs.append(df)