chore: import upstream snapshot with attribution

paddle/phi/kernels/cpu/uniform_kernel.cc

@@ -0,0 +1,86 @@
+// 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/uniform_kernel.h"
+#include "paddle/phi/common/complex.h"
+#include "paddle/phi/common/type_traits.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/kernels/complex_kernel.h"
+#include "paddle/phi/kernels/funcs/uniform_real_distribution.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void UniformKernel(const Context &dev_ctx,
+                   const IntArray &shape,
+                   DataType dtype UNUSED,
+                   const Scalar &min,
+                   const Scalar &max,
+                   int seed,
+                   DenseTensor *out) {
+  out->Resize(shape.GetData());
+  T *data = dev_ctx.template Alloc<T>(out);
+  auto size = out->numel();
+
+  std::shared_ptr<std::mt19937_64> engine;
+  if (seed) {
+    engine = std::make_shared<std::mt19937_64>();
+    engine->seed(seed);
+  } else {
+    engine = dev_ctx.GetGenerator()->GetCPUEngine();
+  }
+
+  // Handle complex types separately
+  if constexpr (std::is_same_v<T, dtype::complex<float>> ||
+                std::is_same_v<T, dtype::complex<double>>) {
+    using RealType = dtype::Real<T>;  // float or double
+    RealType min_val = min.to<RealType>();
+    RealType max_val = max.to<RealType>();
+
+    // Generate random values for real and imaginary parts separately
+    DenseTensor real_part, imag_part;
+    real_part.Resize(out->dims());
+    imag_part.Resize(out->dims());
+    RealType *real_data = dev_ctx.template Alloc<RealType>(&real_part);
+    RealType *imag_data = dev_ctx.template Alloc<RealType>(&imag_part);
+
+    // Generate real part
+    UniformRealDistribution<RealType>(
+        real_data, size, min_val, max_val, engine);
+
+    // Generate imaginary part
+    UniformRealDistribution<RealType>(
+        imag_data, size, min_val, max_val, engine);
+
+    // Combine real and imaginary parts using ComplexKernel
+    ComplexKernel<RealType, Context>(dev_ctx, real_part, imag_part, out);
+  } else {
+    // Original implementation for non-complex types
+    UniformRealDistribution<T>(
+        data, size, min.to<float>(), max.to<float>(), engine);
+  }
+}
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL(uniform,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::UniformKernel,
+                   float,
+                   double,
+                   phi::float16,
+                   phi::bfloat16,
+                   phi::complex64,
+                   phi::complex128) {}