mirror of
				https://github.com/ml-explore/mlx.git
				synced 2025-10-31 07:58:14 +08:00 
			
		
		
		
	| @@ -1,5 +1,4 @@ | ||||
| // Copyright © 2023-2024 Apple Inc. | ||||
|  | ||||
| #include <algorithm> | ||||
| #include <cassert> | ||||
| #include <cmath> | ||||
| @@ -1683,48 +1682,58 @@ std::pair<std::vector<array>, std::vector<int>> Gather::vmap( | ||||
|   auto gather_axes = axes_; | ||||
|   auto slice_sizes = slice_sizes_; | ||||
|   auto src_vmapped = axes[0] >= 0; | ||||
|   auto indices_vmapped = | ||||
|       std::any_of(axes.begin() + 1, axes.end(), [](int a) { return a >= 0; }); | ||||
|   auto out_ax = | ||||
|       *std::find_if(axes.begin(), axes.end(), [](int a) { return a >= 0; }); | ||||
|   auto ind_vmap_ax_ptr = | ||||
|       std::find_if(axes.begin() + 1, axes.end(), [](int a) { return a >= 0; }); | ||||
|   int out_ax = -1; | ||||
|   bool indices_vmapped = (ind_vmap_ax_ptr != axes.end()); | ||||
|   if (indices_vmapped) { | ||||
|     out_ax = *ind_vmap_ax_ptr; | ||||
|   } else if (src_vmapped) { | ||||
|     out_ax = axes[0]; | ||||
|   } | ||||
|  | ||||
|   // Reorder all the index arrays so the vmap axis is in the same spot. | ||||
|   for (int i = 1; i < axes.size(); ++i) { | ||||
|     if (out_ax != axes[i] && axes[i] >= 0) { | ||||
|       indices[i - 1] = moveaxis(indices[i - 1], axes[i], out_ax, stream()); | ||||
|   if (indices_vmapped) { | ||||
|     for (int i = 1; i < axes.size(); ++i) { | ||||
|       if (out_ax != axes[i] && axes[i] >= 0) { | ||||
|         indices[i - 1] = moveaxis(indices[i - 1], axes[i], out_ax, stream()); | ||||
|       } else if (axes[i] < 0) { | ||||
|         indices[i - 1] = expand_dims(indices[i - 1], out_ax, stream()); | ||||
|       } | ||||
|     } | ||||
|   } | ||||
|  | ||||
|   int idx_dims = indices.empty() ? 0 : indices[0].ndim(); | ||||
|  | ||||
|   if (src_vmapped) { | ||||
|     int max_dims = 0; | ||||
|     for (auto& idx : indices) { | ||||
|       max_dims = std::max(static_cast<int>(idx.ndim()), max_dims); | ||||
|     } | ||||
|     auto new_ax_loc = | ||||
|         std::find_if(gather_axes.begin(), gather_axes.end(), [&out_ax](int a) { | ||||
|           return a >= out_ax; | ||||
|         }); | ||||
|     for (; new_ax_loc < gather_axes.end(); new_ax_loc++) { | ||||
|       (*new_ax_loc)++; | ||||
|     for (auto& ax : gather_axes) { | ||||
|       if (ax >= axes[0]) { | ||||
|         ax++; | ||||
|       } | ||||
|     } | ||||
|     if (indices_vmapped) { | ||||
|       // Make a new index array for the vmapped dimension | ||||
|       auto vmap_inds = arange(0, src.shape(axes[0]), stream()); | ||||
|       // Reshape it so it broadcasts with other index arrays | ||||
|       { | ||||
|         auto shape = std::vector<int>(idx_dims, 1); | ||||
|         shape[out_ax] = vmap_inds.size(); | ||||
|         vmap_inds = reshape(vmap_inds, std::move(shape), stream()); | ||||
|       } | ||||
|       // Update gather axes and slice sizes accordingly | ||||
|       auto shape = std::vector<int>(max_dims - out_ax, 1); | ||||
|       auto vmap_inds = arange(0, src.shape(out_ax), stream()); | ||||
|       shape[0] = vmap_inds.shape(0); | ||||
|       vmap_inds = reshape(vmap_inds, shape, stream()); | ||||
|       slice_sizes.insert(slice_sizes.begin() + out_ax, 1); | ||||
|       auto new_ax_idx = new_ax_loc - gather_axes.begin(); | ||||
|       gather_axes.insert(new_ax_loc, out_ax); | ||||
|       indices.insert(indices.begin() + new_ax_idx, vmap_inds); | ||||
|       slice_sizes.insert(slice_sizes.begin() + axes[0], 1); | ||||
|       gather_axes.push_back(axes[0]); | ||||
|       indices.push_back(vmap_inds); | ||||
|     } else { | ||||
|       slice_sizes.insert(slice_sizes.begin() + axes[0], src.shape(axes[0])); | ||||
|       out_ax = max_dims + axes[0]; | ||||
|       slice_sizes.insert(slice_sizes.begin() + out_ax, src.shape(out_ax)); | ||||
|       out_ax += idx_dims; | ||||
|     } | ||||
|   } | ||||
|   return {{gather(src, indices, gather_axes, slice_sizes, stream())}, {out_ax}}; | ||||
|   auto out = gather(src, indices, gather_axes, slice_sizes, stream()); | ||||
|   if (src_vmapped && indices_vmapped) { | ||||
|     out = squeeze(out, idx_dims + axes[0], stream()); | ||||
|   } | ||||
|   return {{out}, {out_ax}}; | ||||
| } | ||||
|  | ||||
| std::vector<array> Gather::vjp( | ||||
|   | ||||
| @@ -370,6 +370,51 @@ class TestVmap(mlx_tests.MLXTestCase): | ||||
|                 mx.allclose(a[:, i, :] @ invs[i], mx.eye(a.shape[0]), rtol=0, atol=1e-5) | ||||
|             ) | ||||
|  | ||||
|     def test_vmap_gather(self): | ||||
|         def gather(a, idx): | ||||
|             return a[idx] | ||||
|  | ||||
|         a = mx.array([[1, 2], [3, 4]]) | ||||
|         idx = mx.array(0) | ||||
|         out = mx.vmap(gather, (0, None))(a, idx) | ||||
|         self.assertTrue(mx.array_equal(out, mx.array([1, 3]))) | ||||
|  | ||||
|         out = mx.vmap(gather, (1, None))(a, idx) | ||||
|         self.assertTrue(mx.array_equal(out, mx.array([1, 2]))) | ||||
|  | ||||
|         idx = mx.array([0, 1]) | ||||
|         out = mx.vmap(gather, (0, 0))(a, idx) | ||||
|         self.assertTrue(mx.array_equal(out, mx.array([1, 4]))) | ||||
|  | ||||
|         a = mx.ones((2, 3, 4)) | ||||
|         idx = mx.zeros(4, mx.int32) | ||||
|         out = mx.vmap(gather, (2, 0))(a, idx) | ||||
|         self.assertEqual(out.shape, (4, 3)) | ||||
|  | ||||
|         f = mx.vmap(gather, (0, None)) | ||||
|         f = mx.vmap(gather, (0, 0)) | ||||
|         out = f(mx.ones((2, 3, 4)), mx.zeros(2, dtype=mx.int32)) | ||||
|         self.assertEqual(out.shape, (2, 4)) | ||||
|  | ||||
|         def gather(a, idxa, idxb): | ||||
|             return a[idxa, idxb] | ||||
|  | ||||
|         a = mx.ones((2, 3, 4)) | ||||
|         idxa = mx.zeros((2, 3), mx.int32) | ||||
|         idxb = mx.zeros(3, mx.int32) | ||||
|         out = mx.vmap(gather, (0, 0, None))(a, idxa, idxb) | ||||
|         self.assertEqual(out.shape, (2, 3)) | ||||
|  | ||||
|         idxa = mx.zeros((3, 1, 2), mx.int32) | ||||
|         idxb = mx.zeros((2, 3, 1, 2), mx.int32) | ||||
|         out = mx.vmap(gather, (0, None, 0))(a, idxa, idxb) | ||||
|         self.assertEqual(out.shape, (2, 3, 1, 2)) | ||||
|  | ||||
|         idxa = mx.zeros((3, 1, 2), mx.int32) | ||||
|         idxb = mx.zeros((3, 1, 2, 2), mx.int32) | ||||
|         out = mx.vmap(gather, (0, None, 3))(a, idxa, idxb) | ||||
|         self.assertEqual(out.shape, (2, 3, 1, 2)) | ||||
|  | ||||
|     def test_vmap_scatter(self): | ||||
|         def scatter(a): | ||||
|             a[mx.array(0)] = mx.array(0.0) | ||||
|   | ||||
		Reference in New Issue
	
	Block a user
	 Awni Hannun
					Awni Hannun