[cherry-pick]Support fixed seed in Python for test (#36065) (#36094)

When users use gumbel_softmax, they can use paddle.seed() in python for fixed seed.

paddle/fluid/operators/gumbel_softmax_op.cu

@@ -130,7 +130,6 @@ struct GumbleNoiseGenerator<platform::CUDADeviceContext, T> {
     T* random_data =
         random_tensor.mutable_data<T>({size}, platform::CUDAPlace());
     thrust::counting_iterator<unsigned int> index_sequence_begin(0);
-    const unsigned int seed = std::random_device()();
 
     // generate gumbel noise
     int device_id =
@@ -144,6 +143,7 @@ struct GumbleNoiseGenerator<platform::CUDADeviceContext, T> {
           thrust::device_ptr<T>(random_data),
           UniformCUDAGenerator<T>(0.00001, 1, seed_offset.first, gen_offset));
     } else {
+      const unsigned int seed = std::random_device()();
       thrust::transform(index_sequence_begin, index_sequence_begin + size,
                         thrust::device_ptr<T>(random_data),
                         UniformCUDAGenerator<T>(0.00001, 1, seed));

paddle/fluid/operators/gumbel_softmax_op.h

@@ -86,8 +86,7 @@ struct GumbleNoiseGenerator<platform::CPUDeviceContext, T> {
     // generate uniform random number
     const int size = size_to_axis * size_from_axis;
     std::uniform_real_distribution<T> dist(0.00001, 1);
-    const int seed = std::random_device()();
-    auto engine = paddle::framework::GetCPURandomEngine(seed);
+    auto engine = paddle::framework::GetCPURandomEngine(0);
     Tensor random_tensor;
     auto* random_data =
         random_tensor.mutable_data<T>({size}, platform::CPUPlace());