chore: import upstream snapshot with attribution

2026-07-13 12:40:42 +08:00
commit e25996e7db
15472 changed files with 3536181 additions and 0 deletions
@@ -0,0 +1,112 @@
+// 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.
+
+#pragma once
+
+#include <iostream>
+#include <random>
+
+#include "paddle/phi/core/dense_tensor.h"
+#include "paddle/phi/kernels/funcs/axis_utils.h"
+#include "paddle/phi/kernels/funcs/eigen/common.h"
+#include "paddle/phi/kernels/funcs/math_function.h"
+#include "paddle/phi/kernels/funcs/softmax.h"
+#include "paddle/phi/kernels/funcs/softmax_impl.h"
+
+namespace phi {
+
+template <typename Context, typename T, int64_t Rank>
+struct ArgMaxFunctor {
+  void operator()(const Context& dev_ctx UNUSED,
+                  const DenseTensor& in,
+                  DenseTensor* index_tensor,
+                  const int64_t& axis) {
+    auto in_eigen = EigenTensor<T, Rank>::From(in, in.dims());
+    auto index_eigen = EigenTensor<int, Rank - 1>::From(*index_tensor);
+    index_eigen = in_eigen.argmax(axis).template cast<int>();
+  }
+};
+
+template <typename Context, typename T>
+struct GumbleNoiseGenerator;
+
+template <typename Context, typename T>
+struct OneHotGenerator;
+
+template <typename T, typename Context>
+void GumbelSoftmaxKernelHelper(const Context& dev_ctx,
+                               const DenseTensor& x,
+                               float temperature,
+                               bool hard,
+                               int axis,
+                               DenseTensor* out) {
+  const int rank = x.dims().size();
+  axis = funcs::CanonicalAxis(axis, rank);
+  int64_t axis_dim = x.dims()[axis];
+
+  PADDLE_ENFORCE_GT(temperature,
+                    0,
+                    common::errors::InvalidArgument(
+                        "The temperature must be greater than 0. But "
+                        "received temperature = %f",
+                        temperature));
+
+  // allocate memory on device.
+  dev_ctx.template Alloc<T>(out);
+  if (out->numel() == 0) {
+    return;
+  }
+
+  // For 0D Tensor
+  if (rank == 0) {
+    funcs::set_constant(dev_ctx, out, static_cast<T>(1.0));
+    return;
+  }
+
+  // TODO(large-tensor): SoftmaxFunctor not support int64
+  PADDLE_ENFORCE_LE_INT_MAX(axis_dim, "axis_dim");
+
+  const int size_to_axis = funcs::SizeToAxis(axis, x.dims());
+  const int size_from_axis = funcs::SizeFromAxis(axis, x.dims());
+  DenseTensor x_noise_2d, out_2d(*out);
+  x_noise_2d.Resize({size_to_axis, size_from_axis});
+  out_2d.Resize({size_to_axis, size_from_axis});
+
+  // generate gumbel noise and add it to X
+  auto* x_noise_data = dev_ctx.template Alloc<T>(&x_noise_2d);
+  GumbleNoiseGenerator<Context, T>::Transform(dev_ctx,
+                                              x.data<T>(),
+                                              x_noise_data,
+                                              size_to_axis,
+                                              size_from_axis,
+                                              temperature);
+  funcs::SoftmaxFunctor<Context, T>()(dev_ctx, axis_dim, &x_noise_2d, &out_2d);
+
+  if (hard) {
+    OneHotGenerator<Context, T>::Transform(dev_ctx, x, out, axis);
+  }
+}
+
+template <typename T, typename Context>
+void GumbelSoftmaxKernel(const Context& dev_ctx,
+                         const DenseTensor& x,
+                         float temperature,
+                         bool hard,
+                         int axis,
+                         DenseTensor* out) {
+  GumbelSoftmaxKernelHelper<T, Context>(
+      dev_ctx, x, temperature, hard, axis, out);
+}
+
+}  // namespace phi