Do not use CPU-specific bounds check on CUDA

lab-cosmo · Apr 16, 2024 · 40cfcec · 40cfcec
1 parent 64b91ab
commit 40cfcec
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Showing 16 changed files with 138 additions and 101 deletions.
diff --git a/mops/src/internal/checks/opsa.hpp b/mops/src/internal/checks/opsa.hpp
@@ -1,6 +1,7 @@
 #ifndef MOPS_CHECKS_OPSA_HPP
 #define MOPS_CHECKS_OPSA_HPP
 
+#include <string>
 #include "mops/tensor.hpp"
 #include "utils.hpp"
 
@@ -9,13 +10,16 @@ void check_opsa(
     mops::Tensor<scalar_t, 3> output,
     mops::Tensor<scalar_t, 2> A,
     mops::Tensor<scalar_t, 2> B,
-    mops::Tensor<int32_t, 1> indices_output
+    mops::Tensor<int32_t, 1> indices_output,
+    std::string operation_name
 ) {
-    check_sizes(A, "A", 0, B, "B", 0, "opsa");
-    check_sizes(A, "A", 1, output, "output", 1, "opsa");
-    check_sizes(B, "B", 1, output, "output", 2, "opsa");
-    check_sizes(A, "A", 0, indices_output, "indices_output", 0, "opsa");
-    check_index_tensor(indices_output, "indices_output", output.shape[0], "opsa");
+    check_sizes(A, "A", 0, B, "B", 0, operation_name);
+    check_sizes(A, "A", 1, output, "output", 1, operation_name);
+    check_sizes(B, "B", 1, output, "output", 2, operation_name);
+    check_sizes(A, "A", 0, indices_output, "indices_output", 0, operation_name);
+    if (operation_name.rfind("cuda_", 0) != 0) {
+        check_index_tensor(indices_output, "indices_output", output.shape[0], operation_name);
+    }
 }
 
 template <typename scalar_t>
@@ -25,17 +29,18 @@ void check_opsa_vjp(
     mops::Tensor<scalar_t, 3> grad_output,
     mops::Tensor<scalar_t, 2> A,
     mops::Tensor<scalar_t, 2> B,
-    mops::Tensor<int32_t, 1> indices_output
+    mops::Tensor<int32_t, 1> indices_output,
+    std::string operation_name
 ) {
     if (grad_A.data != nullptr) {
-        check_sizes(grad_A, "grad_A", 0, A, "A", 0, "opsa_vjp");
-        check_sizes(grad_A, "grad_A", 1, A, "A", 1, "opsa_vjp");
+        check_sizes(grad_A, "grad_A", 0, A, "A", 0, operation_name);
+        check_sizes(grad_A, "grad_A", 1, A, "A", 1, operation_name);
     }
     if (grad_B.data != nullptr) {
-        check_sizes(grad_B, "grad_B", 0, B, "B", 0, "opsa_vjp");
-        check_sizes(grad_B, "grad_B", 1, B, "B", 1, "opsa_vjp");
+        check_sizes(grad_B, "grad_B", 0, B, "B", 0, operation_name);
+        check_sizes(grad_B, "grad_B", 1, B, "B", 1, operation_name);
     }
-    check_opsa(grad_output, A, B, indices_output);
+    check_opsa(grad_output, A, B, indices_output, operation_name);
 }
 
 #endif
diff --git a/mops/src/internal/checks/opsaw.hpp b/mops/src/internal/checks/opsaw.hpp
@@ -1,6 +1,7 @@
 #ifndef MOPS_CHECKS_OPSAW_HPP
 #define MOPS_CHECKS_OPSAW_HPP
 
+#include <string>
 #include "mops/tensor.hpp"
 #include "utils.hpp"
 
@@ -11,17 +12,20 @@ void check_opsaw(
     mops::Tensor<scalar_t, 2> B,
     mops::Tensor<scalar_t, 2> W,
     mops::Tensor<int32_t, 1> indices_W,
-    mops::Tensor<int32_t, 1> indices_output
+    mops::Tensor<int32_t, 1> indices_output,
+    std::string operation_name
 ) {
-    check_sizes(A, "A", 0, B, "B", 0, "opsaw");
-    check_sizes(A, "A", 1, output, "output", 1, "opsaw");
-    check_sizes(B, "B", 1, output, "output", 2, "opsaw");
-    check_sizes(A, "A", 0, indices_output, "indices_output", 0, "opsaw");
-    check_sizes(A, "A", 0, indices_W, "indices_W", 0, "opsaw");
-    check_sizes(W, "W", 0, output, "output", 0, "opsaw");
-    check_sizes(B, "B", 1, W, "W", 1, "opsaw");
-    check_index_tensor(indices_output, "indices_output", output.shape[0], "opsaw");
-    check_index_tensor(indices_W, "indices_W", output.shape[0], "opsaw");
+    check_sizes(A, "A", 0, B, "B", 0, operation_name);
+    check_sizes(A, "A", 1, output, "output", 1, operation_name);
+    check_sizes(B, "B", 1, output, "output", 2, operation_name);
+    check_sizes(A, "A", 0, indices_output, "indices_output", 0, operation_name);
+    check_sizes(A, "A", 0, indices_W, "indices_W", 0, operation_name);
+    check_sizes(W, "W", 0, output, "output", 0, operation_name);
+    check_sizes(B, "B", 1, W, "W", 1, operation_name);
+    if (operation_name.rfind("cuda_", 0) != 0) {
+        check_index_tensor(indices_output, "indices_output", output.shape[0], operation_name);
+        check_index_tensor(indices_W, "indices_W", output.shape[0], operation_name);
+    }
 }
 
 template <typename scalar_t>
@@ -34,21 +38,22 @@ void check_opsaw_vjp(
     mops::Tensor<scalar_t, 2> B,
     mops::Tensor<scalar_t, 2> W,
     mops::Tensor<int32_t, 1> indices_W,
-    mops::Tensor<int32_t, 1> indices_output
+    mops::Tensor<int32_t, 1> indices_output,
+    std::string operation_name
 ) {
     if (grad_A.data != nullptr) {
-        check_sizes(grad_A, "grad_A", 0, A, "A", 0, "opsaw_vjp");
-        check_sizes(grad_A, "grad_A", 1, A, "A", 1, "opsaw_vjp");
+        check_sizes(grad_A, "grad_A", 0, A, "A", 0, operation_name);
+        check_sizes(grad_A, "grad_A", 1, A, "A", 1, operation_name);
     }
     if (grad_B.data != nullptr) {
-        check_sizes(grad_B, "grad_B", 0, B, "B", 0, "opsaw_vjp");
-        check_sizes(grad_B, "grad_B", 1, B, "B", 1, "opsaw_vjp");
+        check_sizes(grad_B, "grad_B", 0, B, "B", 0, operation_name);
+        check_sizes(grad_B, "grad_B", 1, B, "B", 1, operation_name);
     }
     if (grad_W.data != nullptr) {
-        check_sizes(grad_W, "grad_W", 0, W, "W", 0, "opsaw_vjp");
-        check_sizes(grad_W, "grad_W", 1, W, "W", 1, "opsaw_vjp");
+        check_sizes(grad_W, "grad_W", 0, W, "W", 0, operation_name);
+        check_sizes(grad_W, "grad_W", 1, W, "W", 1, operation_name);
     }
-    check_opsaw(grad_output, A, B, W, indices_W, indices_output);
+    check_opsaw(grad_output, A, B, W, indices_W, indices_output, operation_name);
 }
 
 #endif
diff --git a/mops/src/internal/checks/sasaw.hpp b/mops/src/internal/checks/sasaw.hpp
@@ -1,6 +1,7 @@
 #ifndef MOPS_CHECKS_SASAW_HPP
 #define MOPS_CHECKS_SASAW_HPP
 
+#include <string>
 #include "mops/tensor.hpp"
 #include "utils.hpp"
 
@@ -15,21 +16,24 @@ void check_sasaw(
     mops::Tensor<int32_t, 1> indices_W_1,
     mops::Tensor<int32_t, 1> indices_W_2,
     mops::Tensor<int32_t, 1> indices_output_1,
-    mops::Tensor<int32_t, 1> indices_output_2
+    mops::Tensor<int32_t, 1> indices_output_2,
+    std::string operation_name
 ) {
-    check_sizes(A, "A", 0, B, "B", 0, "sasaw");
-    check_sizes(W, "W", 0, output, "output", 0, "sasaw");
-    check_sizes(B, "B", 1, W, "W", 2, "sasaw");
-    check_sizes(C, "C", 0, indices_A, "indices_A", 0, "sasaw");
-    check_sizes(C, "C", 0, indices_W_2, "indices_W_2", 0, "sasaw");
-    check_sizes(C, "C", 0, indices_output_2, "indices_output_2", 0, "sasaw");
-    check_sizes(A, "A", 0, indices_output_1, "indices_output_1", 0, "sasaw");
-    check_sizes(A, "A", 0, indices_W_1, "indices_W_1", 0, "sasaw");
-    check_index_tensor(indices_output_1, "indices_output_1", output.shape[0], "sasaw");
-    check_index_tensor(indices_W_1, "indices_W_1", output.shape[0], "sasaw");
-    check_index_tensor(indices_A, "indices_A", A.shape[1], "sasaw");
-    check_index_tensor(indices_W_2, "indices_W_2", B.shape[1], "sasaw");
-    check_index_tensor(indices_output_2, "indices_output_2", output.shape[1], "sasaw");
+    check_sizes(A, "A", 0, B, "B", 0, operation_name);
+    check_sizes(W, "W", 0, output, "output", 0, operation_name);
+    check_sizes(B, "B", 1, W, "W", 2, operation_name);
+    check_sizes(C, "C", 0, indices_A, "indices_A", 0, operation_name);
+    check_sizes(C, "C", 0, indices_W_2, "indices_W_2", 0, operation_name);
+    check_sizes(C, "C", 0, indices_output_2, "indices_output_2", 0, operation_name);
+    check_sizes(A, "A", 0, indices_output_1, "indices_output_1", 0, operation_name);
+    check_sizes(A, "A", 0, indices_W_1, "indices_W_1", 0, operation_name);
+    if (operation_name.rfind("cuda_", 0) != 0) {
+        check_index_tensor(indices_A, "indices_A", A.shape[1], operation_name);
+        check_index_tensor(indices_W_1, "indices_W_1", output.shape[0], operation_name);
+        check_index_tensor(indices_W_2, "indices_W_2", B.shape[1], operation_name);
+        check_index_tensor(indices_output_1, "indices_output_1", output.shape[0], operation_name);
+        check_index_tensor(indices_output_2, "indices_output_2", output.shape[1], operation_name);
+    }
 }
 
 template <typename scalar_t>
@@ -46,23 +50,34 @@ void check_sasaw_vjp(
     mops::Tensor<int32_t, 1> indices_W_1,
     mops::Tensor<int32_t, 1> indices_W_2,
     mops::Tensor<int32_t, 1> indices_output_1,
-    mops::Tensor<int32_t, 1> indices_output_2
+    mops::Tensor<int32_t, 1> indices_output_2,
+    std::string operation_name
 ) {
     if (grad_A.data != nullptr) {
-        check_sizes(grad_A, "grad_A", 0, A, "A", 0, "sasaw_vjp");
-        check_sizes(grad_A, "grad_A", 1, A, "A", 1, "sasaw_vjp");
+        check_sizes(grad_A, "grad_A", 0, A, "A", 0, operation_name);
+        check_sizes(grad_A, "grad_A", 1, A, "A", 1, operation_name);
     }
     if (grad_B.data != nullptr) {
-        check_sizes(grad_B, "grad_B", 0, B, "B", 0, "sasaw_vjp");
-        check_sizes(grad_B, "grad_B", 1, B, "B", 1, "sasaw_vjp");
+        check_sizes(grad_B, "grad_B", 0, B, "B", 0, operation_name);
+        check_sizes(grad_B, "grad_B", 1, B, "B", 1, operation_name);
     }
     if (grad_W.data != nullptr) {
-        check_sizes(grad_W, "grad_W", 0, W, "W", 0, "sasaw_vjp");
-        check_sizes(grad_W, "grad_W", 1, W, "W", 1, "sasaw_vjp");
-        check_sizes(grad_W, "grad_W", 2, W, "W", 2, "sasaw_vjp");
+        check_sizes(grad_W, "grad_W", 0, W, "W", 0, operation_name);
+        check_sizes(grad_W, "grad_W", 1, W, "W", 1, operation_name);
+        check_sizes(grad_W, "grad_W", 2, W, "W", 2, operation_name);
     }
     check_sasaw(
-        grad_output, A, B, C, W, indices_A, indices_W_1, indices_W_2, indices_output_1, indices_output_2
+        grad_output,
+        A,
+        B,
+        C,
+        W,
+        indices_A,
+        indices_W_1,
+        indices_W_2,
+        indices_output_1,
+        indices_output_2,
+        operation_name
     );
 }
 

diff --git a/mops/src/opsa/cpu.tpp b/mops/src/opsa/cpu.tpp
@@ -13,7 +13,7 @@ void mops::outer_product_scatter_add(
     Tensor<scalar_t, 2> B,
     Tensor<int32_t, 1> indices_output
 ) {
-    check_opsa(output, A, B, indices_output);
+    check_opsa(output, A, B, indices_output, "cpu_outer_product_scatter_add");
 
     size_t size_output = output.shape[0];
     size_t size_output_inner = output.shape[1] * output.shape[2];
@@ -61,7 +61,7 @@ void mops::outer_product_scatter_add_vjp(
     Tensor<scalar_t, 2> B,
     Tensor<int32_t, 1> indices_output
 ) {
-    check_opsa_vjp(grad_A, grad_B, grad_output, A, B, indices_output);
+    check_opsa_vjp(grad_A, grad_B, grad_output, A, B, indices_output, "cpu_outer_product_scatter_add_vjp");
 
     bool calculate_grad_A = grad_A.data != nullptr;
     bool calculate_grad_B = grad_B.data != nullptr;

diff --git a/mops/src/opsa/opsa.cu b/mops/src/opsa/opsa.cu
@@ -69,7 +69,7 @@ void mops::cuda::outer_product_scatter_add(
     Tensor<scalar_t, 2> B,
     Tensor<int32_t, 1> indices_output
 ) {
-    check_opsa(output, A, B, indices_output);
+    check_opsa(output, A, B, indices_output, "cuda_outer_product_scatter_add");
 
     int32_t* first_occurences = calculate_first_occurences_cuda(
         indices_output.data, indices_output.shape[0], output.shape[0]
@@ -250,7 +250,9 @@ void mops::cuda::outer_product_scatter_add_vjp(
     Tensor<scalar_t, 2> B,
     Tensor<int32_t, 1> indices_output
 ) {
-    check_opsa_vjp(grad_A, grad_B, grad_output, A, B, indices_output);
+    check_opsa_vjp(
+        grad_A, grad_B, grad_output, A, B, indices_output, "cuda_outer_product_scatter_add_vjp"
+    );
 
     int32_t* first_occurences = calculate_first_occurences_cuda(
         indices_output.data, indices_output.shape[0], grad_output.shape[0]

diff --git a/mops/src/opsaw/cpu.tpp b/mops/src/opsaw/cpu.tpp
@@ -15,7 +15,7 @@ void mops::outer_product_scatter_add_with_weights(
     Tensor<int32_t, 1> indices_W,
     Tensor<int32_t, 1> indices_output
 ) {
-    check_opsaw(output, A, B, W, indices_W, indices_output);   
+    check_opsaw(output, A, B, W, indices_W, indices_output, "cpu_outer_product_scatter_add_with_weights");   
 
     scalar_t* o_ptr = output.data;
     scalar_t* a_ptr = A.data;
@@ -66,7 +66,7 @@ void mops::outer_product_scatter_add_with_weights_vjp(
     Tensor<int32_t, 1> indices_W,
     Tensor<int32_t, 1> indices_output
 ) {
-    check_opsaw_vjp(grad_A, grad_B, grad_W, grad_output, A, B, W, indices_W, indices_output);
+    check_opsaw_vjp(grad_A, grad_B, grad_W, grad_output, A, B, W, indices_W, indices_output, "cpu_outer_product_scatter_add_with_weights_vjp");
 
     bool calculate_grad_A = grad_A.data != nullptr;
     bool calculate_grad_B = grad_B.data != nullptr;

diff --git a/mops/src/sasaw/cpu.tpp b/mops/src/sasaw/cpu.tpp
@@ -18,7 +18,7 @@ void mops::sparse_accumulation_scatter_add_with_weights(
     Tensor<int32_t, 1> indices_output_1,
     Tensor<int32_t, 1> indices_output_2
 ) {
-    check_sasaw(output, A, B, C, W, indices_A, indices_W_1, indices_W_2, indices_output_1, indices_output_2);
+    check_sasaw(output, A, B, C, W, indices_A, indices_W_1, indices_W_2, indices_output_1, indices_output_2, "cpu_sparse_accumulation_scatter_add_with_weights");
 
     scalar_t* o_ptr = output.data;
     scalar_t* a_ptr = A.data;
@@ -88,7 +88,7 @@ void mops::sparse_accumulation_scatter_add_with_weights_vjp(
     Tensor<int32_t, 1> indices_output_1,
     Tensor<int32_t, 1> indices_output_2
 ) {
-    check_sasaw_vjp(grad_A, grad_B, grad_W, grad_output, A, B, C, W, indices_A, indices_W_1, indices_W_2, indices_output_1, indices_output_2);
+    check_sasaw_vjp(grad_A, grad_B, grad_W, grad_output, A, B, C, W, indices_A, indices_W_1, indices_W_2, indices_output_1, indices_output_2, "cpu_sparse_accumulation_scatter_add_with_weights_vjp");
 
     bool calculate_grad_A = grad_A.data != nullptr;
     bool calculate_grad_B = grad_B.data != nullptr;

diff --git a/python/mops-torch/tests/opsa.py b/python/mops-torch/tests/opsa.py
@@ -63,11 +63,11 @@ def test_opsa_grads(dtype, device):
         (A, B, indices, output_size),
     )
 
-    if device != "cuda":  # not yet implemented
-        assert torch.autograd.gradgradcheck(
-            mops.torch.outer_product_scatter_add,
-            (A, B, indices, output_size),
-        )
+    # not yet implemented
+    # assert torch.autograd.gradgradcheck(
+    #     mops.torch.outer_product_scatter_add,
+    #     (A, B, indices, output_size),
+    # )
 
 
 def test_opsa_ref():

diff --git a/python/mops-torch/tests/opsaw.py b/python/mops-torch/tests/opsaw.py
@@ -45,11 +45,11 @@ def test_opsaw_grads(dtype, device):
             (A, B, W, indices_W, indices_output),
         )
 
-    if device != "cuda":  # not yet implemented
-        assert torch.autograd.gradgradcheck(
-            mops.torch.outer_product_scatter_add_with_weights,
-            (A, B, W, indices_W, indices_output),
-        )
+    # not yet implemented
+    # assert torch.autograd.gradgradcheck(
+    #     mops.torch.outer_product_scatter_add_with_weights,
+    #     (A, B, W, indices_W, indices_output),
+    # )
 
 
 def test_opsaw_ref():

diff --git a/python/mops-torch/tests/sasaw.py b/python/mops-torch/tests/sasaw.py
@@ -85,22 +85,22 @@ def test_sasaw_grads(dtype, device):
             ),
         )
 
-    if device != "cuda":  # not yet implemented
-        assert torch.autograd.gradgradcheck(
-            mops.torch.sparse_accumulation_scatter_add_with_weights,
-            (
-                A,
-                B,
-                C,
-                W,
-                indices_A,
-                indices_W_1,
-                indices_W_2,
-                indices_output_1,
-                indices_output_2,
-                output_size_2,
-            ),
-        )
+    # not yet implemented
+    # assert torch.autograd.gradgradcheck(
+    #     mops.torch.sparse_accumulation_scatter_add_with_weights,
+    #     (
+    #         A,
+    #         B,
+    #         C,
+    #         W,
+    #         indices_A,
+    #         indices_W_1,
+    #         indices_W_2,
+    #         indices_output_1,
+    #         indices_output_2,
+    #         output_size_2,
+    #     ),
+    # )
 
 
 def test_sasaw_ref():

diff --git a/python/mops/tests/opsa.py b/python/mops/tests/opsa.py
@@ -70,7 +70,8 @@ def test_opsa_size_mismatch(valid_arguments):
     with pytest.raises(
         mops.status.MopsError,
         match="Dimension mismatch: the sizes of A along "
-        "dimension 0 and indices_output along dimension 0 must match in opsa",
+        "dimension 0 and indices_output along dimension 0 must match in "
+        "cpu_outer_product_scatter_add",
     ):
         opsa(A, B, indices_output, output_size)
 
@@ -81,7 +82,7 @@ def test_opsa_out_of_bounds(valid_arguments):
 
     with pytest.raises(
         mops.status.MopsError,
-        match="Index array indices_output in operation opsa "
+        match="Index array indices_output in operation cpu_outer_product_scatter_add "
         "contains elements up to 10; "
         "this would cause out-of-bounds accesses. With the provided "
         "parameters, it can only contain elements up to 9",