From 538b1d7f5bdd04a70536997afba22cec033eefd0 Mon Sep 17 00:00:00 2001
From: Faisal Memon <faisalmemonuk@yahoo.com>
Date: Mon, 9 Jan 2023 18:08:05 +0000
Subject: [PATCH] Print out the tensor using numpy(). (#454)

This commit resolves issue https://github.com/geohot/tinygrad/issues/453

In the example code in the README.md, when it is run, it prints for Tiny
Grad the tensors as:
<Tensor <LB (3, 3) op:MovementOps.RESHAPE> with grad None>
<Tensor <LB (1, 3) op:MovementOps.RESHAPE> with grad None>

But to be equivalent to the output of the Torch example, we need
to use numpy() to get it to show:
[[ 2.  2.  2.]
 [ 0.  0.  0.]
 [-2. -2. -2.]]
[[1. 1. 1.]]
---
 README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 6e479f2342..291416c3b4 100644
--- a/README.md
+++ b/README.md
@@ -44,8 +44,8 @@ y = Tensor([[2.0,0,-2.0]], requires_grad=True)
 z = y.matmul(x).sum()
 z.backward()
 
-print(x.grad)  # dz/dx
-print(y.grad)  # dz/dy
+print(x.grad.numpy())  # dz/dx
+print(y.grad.numpy())  # dz/dy
 ```
 
 ### Same example in torch