c_softmax_with_cross_entropy support bf16 for xpu

PaddlePaddle · Dec 29, 2023 · ec7c129 · ec7c129
1 parent 63776cf
commit ec7c129
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Showing 3 changed files with 41 additions and 20 deletions.
diff --git a/paddle/fluid/operators/collective/c_softmax_with_cross_entropy_op_xpu.cc b/paddle/fluid/operators/collective/c_softmax_with_cross_entropy_op_xpu.cc
@@ -102,13 +102,17 @@ struct CSoftmaxWithCrossEntropyProcessGroupFunctor<phi::XPUContext, T> {
       // reduce last dim
       int dims[1] = {1};
       auto f = [](xpu::Context* ctx,
-                  const XPUType* x,
-                  XPUType* y,
+                  const T* x,
+                  T* y,
                   const std::vector<int>& xdims,
                   const std::vector<int>& reduce_dims) {
-        return xpu::reduce_max<XPUType>(ctx, x, y, xdims, reduce_dims);
+        return xpu::reduce_max<XPUType>(ctx,
+                                        reinterpret_cast<const XPUType*>(x),
+                                        reinterpret_cast<XPUType*>(y),
+                                        xdims,
+                                        reduce_dims);
       };
-      ret = phi::XPUReduce<phi::XPUContext, XPUType>(
+      ret = phi::XPUReduce<phi::XPUContext, T>(
           dev_ctx,
           logits_2d,
           std::vector<int64_t>(dims, dims + 1),
@@ -194,13 +198,17 @@ struct CSoftmaxWithCrossEntropyProcessGroupFunctor<phi::XPUContext, T> {
     {
       int dims[1] = {1};
       auto f = [](xpu::Context* ctx,
-                  const XPUType* x,
-                  XPUType* y,
+                  const T* x,
+                  T* y,
                   const std::vector<int>& xdims,
                   const std::vector<int>& reduce_dims) {
-        return xpu::reduce_sum<XPUType>(ctx, x, y, xdims, reduce_dims);
+        return xpu::reduce_sum<XPUType>(ctx,
+                                        reinterpret_cast<const XPUType*>(x),
+                                        reinterpret_cast<XPUType*>(y),
+                                        xdims,
+                                        reduce_dims);
       };
-      ret = phi::XPUReduce<phi::XPUContext, XPUType>(
+      ret = phi::XPUReduce<phi::XPUContext, T>(
           dev_ctx,
           softmax_2d,
           std::vector<int64_t>(dims, dims + 1),
@@ -323,13 +331,17 @@ struct CSoftmaxWithCrossEntropyFunctor<phi::XPUContext, T> {
     {
       int dims[1] = {1};
       auto f = [](xpu::Context* ctx,
-                  const XPUType* x,
-                  XPUType* y,
+                  const T* x,
+                  T* y,
                   const std::vector<int>& xdims,
                   const std::vector<int>& reduce_dims) {
-        return xpu::reduce_max<XPUType>(ctx, x, y, xdims, reduce_dims);
+        return xpu::reduce_max<XPUType>(ctx,
+                                        reinterpret_cast<const XPUType*>(x),
+                                        reinterpret_cast<XPUType*>(y),
+                                        xdims,
+                                        reduce_dims);
       };
-      ret = phi::XPUReduce<phi::XPUContext, XPUType>(
+      ret = phi::XPUReduce<phi::XPUContext, T>(
           dev_ctx,
           logits_2d,
           std::vector<int64_t>(dims, dims + 1),
@@ -436,13 +448,17 @@ struct CSoftmaxWithCrossEntropyFunctor<phi::XPUContext, T> {
     {
       int dims[1] = {1};
       auto f = [](xpu::Context* ctx,
-                  const XPUType* x,
-                  XPUType* y,
+                  const T* x,
+                  T* y,
                   const std::vector<int>& xdims,
                   const std::vector<int>& reduce_dims) {
-        return xpu::reduce_sum<XPUType>(ctx, x, y, xdims, reduce_dims);
+        return xpu::reduce_sum<XPUType>(ctx,
+                                        reinterpret_cast<const XPUType*>(x),
+                                        reinterpret_cast<XPUType*>(y),
+                                        xdims,
+                                        reduce_dims);
       };
-      ret = phi::XPUReduce<phi::XPUContext, XPUType>(
+      ret = phi::XPUReduce<phi::XPUContext, T>(
           dev_ctx,
           softmax_2d,
           std::vector<int64_t>(dims, dims + 1),
@@ -567,9 +583,11 @@ PD_REGISTER_STRUCT_KERNEL(c_softmax_with_cross_entropy,
                           XPU,
                           ALL_LAYOUT,
                           ops::CSoftmaxWithCrossEntropyOp,
-                          float) {}
+                          float,
+                          phi::dtype::bfloat16) {}
 PD_REGISTER_STRUCT_KERNEL(c_softmax_with_cross_entropy_grad,
                           XPU,
                           ALL_LAYOUT,
                           ops::CSoftmaxWithCrossEntropyGrad,
-                          float) {}
+                          float,
+                          phi::dtype::bfloat16) {}
diff --git a/paddle/phi/backends/xpu/xpu3_op_list.cc b/paddle/phi/backends/xpu/xpu3_op_list.cc
@@ -143,9 +143,10 @@ XPUOpMap& get_kl3_ops() {
                      phi::DataType::BFLOAT16,
                      phi::DataType::INT32,
                      phi::DataType::INT64})},
-      {"c_softmax_with_cross_entropy", XPUKernelSet({phi::DataType::FLOAT32})},
+      {"c_softmax_with_cross_entropy",
+       XPUKernelSet({phi::DataType::FLOAT32, phi::DataType::BFLOAT16})},
       {"c_softmax_with_cross_entropy_grad",
-       XPUKernelSet({phi::DataType::FLOAT32})},
+       XPUKernelSet({phi::DataType::FLOAT32, phi::DataType::BFLOAT16})},
       {"c_reduce_sum", XPUKernelSet({phi::DataType::FLOAT32})},
       {"c_split",
        XPUKernelSet({phi::DataType::FLOAT16,

diff --git a/test/xpu/test_collective_softmax_with_cross_entropy_xpu.py b/test/xpu/test_collective_softmax_with_cross_entropy_xpu.py
@@ -167,6 +167,8 @@ def check_with_place(
 
 support_types = get_xpu_op_support_types('c_softmax_with_cross_entropy')
 for stype in support_types:
+    if stype == "bfloat16":
+        continue
     create_test_class(
         globals(),
         XPUTestCSoftmaxWithCEOP,