[Sparse]Sparse add support gpu (#45974)

paddle/phi/kernels/sparse/elementwise_grad_kernel.h

@@ -15,6 +15,7 @@ limitations under the License. */
 #pragma once
 
 #include "paddle/phi/core/dense_tensor.h"
+#include "paddle/phi/core/sparse_coo_tensor.h"
 #include "paddle/phi/core/sparse_csr_tensor.h"
 #include "paddle/phi/kernels/empty_kernel.h"
 

paddle/phi/kernels/sparse/gpu/elementwise_grad_kernel.cu

+/* Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License. */
+
+#include "paddle/phi/kernels/sparse/elementwise_grad_kernel.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/core/tensor_utils.h"
+#include "paddle/phi/kernels/sparse/empty_kernel.h"
+
+namespace phi {
+namespace sparse {
+
+template <typename T, typename Context>
+void ElementWiseAddCooGradKernel(const Context& dev_ctx,
+                                 const SparseCooTensor& x,
+                                 const SparseCooTensor& y,
+                                 const SparseCooTensor& dout,
+                                 SparseCooTensor* dx,
+                                 SparseCooTensor* dy) {
+  if (dx) {
+    EmptyLikeCooKernel<T, Context>(dev_ctx, x, dx);
+    Copy(dev_ctx, dout, dev_ctx.GetPlace(), false, dx);
+  }
+
+  if (dy) {
+    EmptyLikeCooKernel<T, Context>(dev_ctx, y, dy);
+    Copy(dev_ctx, dout, dev_ctx.GetPlace(), false, dy);
+  }
+}
+
+}  // namespace sparse
+}  // namespace phi
+
+PD_REGISTER_KERNEL(add_coo_coo_grad,
+                   GPU,
+                   ALL_LAYOUT,
+                   phi::sparse::ElementWiseAddCooGradKernel,
+                   float,
+                   double,
+                   int16_t,
+                   int,
+                   int64_t,
+                   phi::dtype::float16) {
+  kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_COO);
+  kernel->InputAt(1).SetDataLayout(phi::DataLayout::SPARSE_COO);
+}

paddle/phi/kernels/sparse/gpu/elementwise_kernel.cu

+/* Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License. */
+
+#include <thrust/equal.h>
+#include <thrust/execution_policy.h>
+
+#include "paddle/phi/kernels/elementwise_add_kernel.h"
+#include "paddle/phi/kernels/sparse/elementwise_kernel.h"
+#include "paddle/phi/kernels/sparse/empty_kernel.h"
+
+#include "paddle/phi/core/enforce.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/core/visit_type.h"
+
+namespace phi {
+namespace sparse {
+
+template <typename T, typename IntT>
+void ElementWiseAddCooGPUKernel(const GPUContext& dev_ctx,
+                                const SparseCooTensor& x,
+                                const SparseCooTensor& y,
+                                SparseCooTensor* out) {
+  const auto& x_indices = x.indices();
+  const auto& y_indices = y.indices();
+  PADDLE_ENFORCE_EQ(
+      x_indices.numel(),
+      y_indices.numel(),
+      phi::errors::PreconditionNotMet(
+          "The numel of x.indices() and y.indices() should be equal"));
+  const IntT* x_indices_ptr = x_indices.data<IntT>();
+  const IntT* y_indices_ptr = y_indices.data<IntT>();
+#ifdef PADDLE_WITH_HIP
+  bool is_same = thrust::equal(thrust::hip::par.on(dev_ctx.stream()),
+#else
+  bool is_same = thrust::equal(thrust::cuda::par.on(dev_ctx.stream()),
+#endif
+                               x_indices_ptr,
+                               x_indices_ptr + x_indices.numel(),
+                               y_indices_ptr);
+  PADDLE_ENFORCE_EQ(
+      is_same,
+      true,
+      phi::errors::PreconditionNotMet(
+          "Currently, ElementWiseAddCooKernel only supports the case "
+          "where x and y have the same indices"));
+  EmptyLikeCooKernel<T, GPUContext>(dev_ctx, x, out);
+  phi::AddKernel<T, GPUContext>(
+      dev_ctx, x.values(), y.values(), out->mutable_values());
+}
+
+template <typename T, typename Context>
+void ElementWiseAddCooKernel(const Context& dev_ctx,
+                             const SparseCooTensor& x,
+                             const SparseCooTensor& y,
+                             SparseCooTensor* out) {
+  PD_VISIT_BASE_INTEGRAL_TYPES(x.indices().dtype(), "VerifyIndices", ([&] {
+                                 ElementWiseAddCooGPUKernel<T, data_t>(
+                                     dev_ctx, x, y, out);
+                               }));
+}
+
+}  // namespace sparse
+}  // namespace phi
+
+PD_REGISTER_KERNEL(add_coo_coo,
+                   GPU,
+                   ALL_LAYOUT,
+                   phi::sparse::ElementWiseAddCooKernel,
+                   float,
+                   double,
+                   int16_t,
+                   int,
+                   int64_t,
+                   phi::dtype::float16) {
+  kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_COO);
+  kernel->InputAt(1).SetDataLayout(phi::DataLayout::SPARSE_COO);
+}

python/paddle/fluid/tests/unittests/test_sparse_elementwise_op.py

@@ -18,7 +18,7 @@ from operator import __add__, __sub__, __mul__, __truediv__
 
 import numpy as np
 import paddle
-from paddle.fluid.framework import _test_eager_guard
+import paddle.incubate.sparse as sparse
 
 op_list = [__add__, __sub__, __mul__, __truediv__]
 
@@ -134,6 +134,35 @@ class TestSparseElementWiseAPI(unittest.TestCase):
             for op in op_list:
                 self.func_test_coo(op)
 
+    def test_add_same_indices(self):
+        indices_data = [[0, 1], [0, 3]]
+        values1_data = [[1.0], [2.0]]
+        values2_data = [[1.0], [2.0]]
+        shape = [2, 4, 2]
+
+        sp_a = sparse.sparse_coo_tensor(indices_data,
+                                        values1_data,
+                                        shape,
+                                        stop_gradient=False)
+        sp_b = sparse.sparse_coo_tensor(indices_data,
+                                        values2_data,
+                                        shape,
+                                        stop_gradient=False)
+
+        values1 = paddle.to_tensor(values1_data, stop_gradient=False)
+        values2 = paddle.to_tensor(values2_data, stop_gradient=False)
+
+        #c.values() = a.values() + b.values()
+        sp_c = sparse.add(sp_a, sp_b)
+        sp_c.backward()
+        ref_c = values1 + values2
+        ref_c.backward()
+        np.testing.assert_allclose(sp_c.values().numpy(), ref_c.numpy())
+        np.testing.assert_allclose(sp_a.grad.values().numpy(),
+                                   values1.grad.numpy())
+        np.testing.assert_allclose(sp_b.grad.values().numpy(),
+                                   values2.grad.numpy())
+
 
 if __name__ == "__main__":
     paddle.device.set_device('cpu')