diff --git a/README.md b/README.md
index 7866f36..1414ea0 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,7 @@
# quiz
+Install the required packages:
+`cargo install mdbook; cargo install mdbook-quiz`
+
To run locally (in dl-quiz folder):
-`mdbook serve --open`
\ No newline at end of file
+`mdbook serve --open`
diff --git a/dl-quiz/src/quiz_21.toml b/dl-quiz/src/quiz_21.toml
index 1080984..f14edda 100644
--- a/dl-quiz/src/quiz_21.toml
+++ b/dl-quiz/src/quiz_21.toml
@@ -1,6 +1,6 @@
[[questions]]
type = "MultipleChoice"
-prompt.prompt = "We run the following code: $ a = np.ones(5) \n$ b = trorch.from_numpy(a) \n$ print(b) \n tensor([1., 1., 1., 1., 1.], dtype=torch.float64)
\n What is the output of `a.dtype`?"
+prompt.prompt = "We run the following code: $ a = np.ones(5) \n$ b = torch.from_numpy(a) \n$ print(b) \n tensor([1., 1., 1., 1., 1.], dtype=torch.float64)
\n What is the output of `a.dtype`?"
prompt.choices = [
"`float8`",
"`float32`",
@@ -13,7 +13,7 @@ context = """
[[questions]]
type = "MultipleChoice"
-prompt.prompt = "We continue with: $ b = b.to(torch.uint8) \n$ a[2] = 0 \n$ b[3] = 5
\n What is the output of `print(b)`?"
+prompt.prompt = "We run the following code: $ a = np.ones(5) \n$ b = torch.from_numpy(a) \n$ print(b) \n tensor([1., 1., 1., 1., 1.], dtype=torch.float64)
\n We continue with: $ b = b.to(torch.uint8) \n$ a[2] = 0 \n$ b[3] = 5
\n What is the output of `print(b)`?"
prompt.choices = [
"`[1. 1. 0. 1. 1.]`",
"`[1. 0. 5. 1. 1.]`",
diff --git a/dl-quiz/src/quiz_22.toml b/dl-quiz/src/quiz_22.toml
index b0780a1..4144f15 100644
--- a/dl-quiz/src/quiz_22.toml
+++ b/dl-quiz/src/quiz_22.toml
@@ -12,7 +12,7 @@ context = """
[[questions]]
type = "MultipleChoice"
-prompt.prompt = "We continue with $ b = b.to(device) \n$ b[0] = 2 \n$ print(b) \n tensor([2., 1., 1., 1., 1.], device='cuda:0', dtype=torch.float64)
\n What is the output of `print(a)`?"
+prompt.prompt = "We run the following code: $ a = np.ones(5) \n$ b = torch.from_numpy(a) \n$ torch.cuda.is_available() \nTrue \n$ device = torch.device('cuda') \n$ b.to(device)
\n We continue with $ b = b.to(device) \n$ b[0] = 2 \n$ print(b) \n tensor([2., 1., 1., 1., 1.], device='cuda:0', dtype=torch.float64)
\n What is the output of `print(a)`?"
prompt.choices = [
"`[2., 1., 1., 1., 1.]`",
"`[1., 1., 1., 1., 1.]`"
diff --git a/dl-quiz/src/quiz_23.toml b/dl-quiz/src/quiz_23.toml
index dcab2dc..7947af7 100644
--- a/dl-quiz/src/quiz_23.toml
+++ b/dl-quiz/src/quiz_23.toml
@@ -1,6 +1,6 @@
[[questions]]
type = "MultipleChoice"
-prompt.prompt = "We run the following code: $ b = torch.tensor([1, 1, 1, 5, 1], dtype=torch.float)
\n What is the output of `print(b.requires_grad)`?"
+prompt.prompt = "We run the following code: $ b = torch.tensor([1, 1, 1, 5, 1], dtype=torch.float)
\n What is the output of `print(b.requires_grad)`?"
prompt.choices = [
"`True`",
"`False`",
@@ -14,7 +14,7 @@ Default value is `False`.
[[questions]]
type = "MultipleChoice"
-prompt.prompt = "We continue with: $ b.requires_grad_(True) \ntensor([1., 1., 1., 5., 1.], requires_grad=True)
\n What is the output of `print(b.grad)`?"
+prompt.prompt = "We run the following code: $ b = torch.tensor([1, 1, 1, 5, 1], dtype=torch.float)
\n We continue with: $ b.requires_grad_(True) \ntensor([1., 1., 1., 5., 1.], requires_grad=True)
\n What is the output of `print(b.grad)`?"
prompt.choices = [
"`0`",
"`1`",
@@ -28,7 +28,7 @@ Default value is `None`.
[[questions]]
type = "MultipleChoice"
-prompt.prompt = "We continue with: $ l = sum((b-1)**2) \n$ l.backward() \n$ print(l) \ntensor(16., grad_fn=)
\n What is the output of `print(b.grad)`?"
+prompt.prompt = "We run the following code: $ b = torch.tensor([1, 1, 1, 5, 1], dtype=torch.float)\n$ b.requires_grad_(True) \ntensor([1., 1., 1., 5., 1.], requires_grad=True)
\n We continue with: $ l = sum((b-1)**2) \n$ l.backward() \n$ print(l) \ntensor(16., grad_fn=)
\n What is the output of `print(b.grad)`?"
prompt.choices = [
"`tensor([2.])`",
"`tensor([2., 2., 2., 10., 2.])`",
@@ -41,7 +41,7 @@ The derivative of each component is `2(b_i-1)`.
[[questions]]
type = "MultipleChoice"
-prompt.prompt = "We continue with: $ m = sum((b.data -1)**2)
\n What is the output of `m.backward()`?"
+prompt.prompt = "We run the following code: $ b = torch.tensor([1, 1, 1, 5, 1], dtype=torch.float)\n$ b.requires_grad_(True) \ntensor([1., 1., 1., 5., 1.], requires_grad=True)\n$ l = sum((b-1)**2) \n$ l.backward() \n$ print(l) \ntensor(16., grad_fn=)
\n We continue with: $ m = sum((b.data -1)**2) \n
\n What is the output of `m.backward()`?"
prompt.choices = [
"same as for `l`",
"`Error`"
@@ -53,7 +53,7 @@ You cannot compute gradient if you detach the `data` from the `tensor`.
[[questions]]
type = "MultipleChoice"
-prompt.prompt = "We continue with: $ n = sum((b-1)**2) \n$ n.backward()
\n What is the output of `print(b.grad)`?"
+prompt.prompt = "We run the following code: $ b = torch.tensor([1, 1, 1, 5, 1], dtype=torch.float)\n$ b.requires_grad_(True) \ntensor([1., 1., 1., 5., 1.], requires_grad=True)\n$ l = sum((b-1)**2) \n$ l.backward() \n$ print(l) \ntensor(16., grad_fn=) \n$ m = sum((b.data -1)**2)
\n We continue with: $ n = sum((b-1)**2) \n$ n.backward()
\n What is the output of `print(b.grad)`?"
prompt.choices = [
"`tensor([0., 0., 0., 8., 0.])`",
"`tensor([0., 0., 0., 16., 0.])`"
@@ -65,7 +65,7 @@ Gradients are added by default.
[[questions]]
type = "MultipleChoice"
-prompt.prompt = "We continue with: $ n.requires_grad_(True) \n$ n.backward()
\n What is the output of `print(b.grad)`?"
+prompt.prompt = "We run the following code: $ b = torch.tensor([1, 1, 1, 5, 1], dtype=torch.float)\n$ b.requires_grad_(True) \ntensor([1., 1., 1., 5., 1.], requires_grad=True)\n$ l = sum((b-1)**2) \n$ l.backward() \n$ print(l) \ntensor(16., grad_fn=)\n$ m = sum((b.data -1)**2) \n$ n = sum((b-1)**2) \n$ n.backward() \n
\n We continue with: $ n.requires_grad_(True) \n$ n.backward()
\n What is the output of `print(b.grad)`?"
prompt.choices = [
"`tensor([0., 0., 0., 16., 0.])`",
"`tensor([0., 0., 0., 32., 0.])`"
@@ -77,7 +77,7 @@ There is an error when at `n.backward()`: `RuntimeError: Trying to backward thro
[[questions]]
type = "MultipleChoice"
-prompt.prompt = "We continue with: $ m.requires_grad_(True) \n$ m.backward()
\n What is the output of `print(b.grad)`?"
+prompt.prompt = "We run the following code: $ b = torch.tensor([1, 1, 1, 5, 1], dtype=torch.float)\n$ b.requires_grad_(True) \ntensor([1., 1., 1., 5., 1.], requires_grad=True)\n$ l = sum((b-1)**2) \n$ l.backward() \n$ print(l) \ntensor(16., grad_fn=) \n$ m = sum((b.data -1)**2) \n$ n = sum((b-1)**2) \n$ n.backward() \n$ n.requires_grad_(True) \n$ n.backward()
\n We continue with: $ m.requires_grad_(True) \n$ m.backward()
\n What is the output of `print(b.grad)`?"
prompt.choices = [
"there is an error at `m.backward()`",
"`tensor([0., 0., 0., 8., 0.])`",