From 85e9ae20e54b8c4de55c47d9e0c4389881d38671 Mon Sep 17 00:00:00 2001
From: cpuhrsch <cpuhrsch@googlemail.com>
Date: Wed, 23 May 2018 01:54:16 +0000
Subject: [PATCH] Update tbb (#7734)

---
 aten/src/ATen/native/Distributions.cpp     | 8 ++++----
 aten/src/ATen/native/native_functions.yaml | 8 ++++----
 third_party/tbb                            | 2 +-
 tools/autograd/derivatives.yaml            | 2 +-
 4 files changed, 10 insertions(+), 10 deletions(-)

diff --git a/aten/src/ATen/native/Distributions.cpp b/aten/src/ATen/native/Distributions.cpp
index 14a8a31dd89e0..1186c76a8be1e 100644
--- a/aten/src/ATen/native/Distributions.cpp
+++ b/aten/src/ATen/native/Distributions.cpp
@@ -121,10 +121,10 @@ Tensor bernoulli(const Tensor& self, double p, Generator* gen) {
   return native::bernoulli_(result, p, gen);
 }
 
-Tensor bernoulli(const Tensor& self, Generator* gen) {
+Tensor bernoulli(const Tensor& self) {
   Tensor result = self.type().tensor();
   result.resize_(self.sizes());
-  return native::bernoulli(result, self, gen);
+  return native::bernoulli(result, self, nullptr);
 }
 
 Tensor& bernoulli_(Tensor& self, const Tensor& p_, Generator* gen) {
@@ -159,8 +159,8 @@ Tensor& bernoulli_(Tensor& self, double p, Generator* gen) {
   return native::bernoulli_(self, probs, gen);
 }
 
-Tensor& bernoulli_(Tensor& self, Generator* gen) {
-  return native::bernoulli_(self, 0.5, gen);
+Tensor& bernoulli_(Tensor& self) {
+  return native::bernoulli_(self, 0.5, nullptr);
 }
 
 Tensor _standard_gamma_grad_cpu(const Tensor& self, const Tensor& output) {
diff --git a/aten/src/ATen/native/native_functions.yaml b/aten/src/ATen/native/native_functions.yaml
index bfeb1bff1faac..0e2d6f79f6fc7 100644
--- a/aten/src/ATen/native/native_functions.yaml
+++ b/aten/src/ATen/native/native_functions.yaml
@@ -154,15 +154,15 @@
 
 - func: bernoulli(Tensor self, Tensor p, Generator* generator=nullptr) -> Tensor
 
-- func: bernoulli(Tensor self, double p=0.5, Generator* generator=nullptr) -> Tensor
+- func: bernoulli(Tensor self, double p, Generator* generator=nullptr) -> Tensor
 
-- func: bernoulli(Tensor self, Generator* generator=nullptr) -> Tensor
+- func: bernoulli(Tensor self) -> Tensor
 
 - func: bernoulli_(Tensor self, Tensor p, Generator* generator=nullptr) -> Tensor
 
-- func: bernoulli_(Tensor self, double p=0.5, Generator* generator=nullptr) -> Tensor
+- func: bernoulli_(Tensor self, double p, Generator* generator=nullptr) -> Tensor
 
-- func: bernoulli_(Tensor self, Generator* generator=nullptr) -> Tensor
+- func: bernoulli_(Tensor self) -> Tensor
 
 - func: bilinear(Tensor input1, Tensor input2, Tensor weight, Tensor? bias) -> Tensor
   variants: function
diff --git a/third_party/tbb b/third_party/tbb
index 4c73c3b5d7f78..633b01ad27e01 160000
--- a/third_party/tbb
+++ b/third_party/tbb
@@ -1 +1 @@
-Subproject commit 4c73c3b5d7f78c40f69e0c04fd4afb9f48add1e6
+Subproject commit 633b01ad27e012e1dc4e392c3230250d1f4967a4
diff --git a/tools/autograd/derivatives.yaml b/tools/autograd/derivatives.yaml
index ff8712695d87a..8792233d572f5 100644
--- a/tools/autograd/derivatives.yaml
+++ b/tools/autograd/derivatives.yaml
@@ -138,7 +138,7 @@
   batch1: grad.bmm(batch2.transpose(1, 2)) * alpha
   batch2: batch1.transpose(1, 2).bmm(grad) * alpha
 
-- name: bernoulli(Tensor self, Generator generator)
+- name: bernoulli(Tensor self, double p, Generator generator)
   self: zeros_like(grad)
 
 - name: bmm(Tensor self, Tensor mat2)