huh, torch 1.12 broke it. remove unused requirements.txt and pin torch 1.11

requirements.txt

@@ -1,14 +0,0 @@
-numpy
-pyopencl==2020.2.2
-pillow
-# util deps
-requests
-# testing deps
---find-links https://download.pytorch.org/whl/torch_stable.html
-torch==1.6.0+cpu
-torchvision==0.7.0+cpu
-pytest
-tqdm
-protobuf~=3.19.0
-onnx
-onnx2torch

setup.py

@@ -25,7 +25,7 @@ setup(name='tinygrad',
         'gpu': ["pyopencl", "six"],
         'testing': [
             "pytest",
-            "torch",
+            "torch~=1.11.0",
             "tqdm",
             "protobuf~=3.19.0",
             "onnx",

tinygrad/llops/ops_torch.py

@@ -10,14 +10,15 @@ class TorchBuffer(torch.Tensor):
       return super().__new__(cls, shape)
     else:
       return TorchBuffer(torch.zeros(shape)).to(device)
-  custompad = lambda x,padding: torch.nn.functional.pad(x, [item for sublist in padding[::-1] for item in sublist])
+
+  def custompad(x, padding): return torch.nn.functional.pad(x, [item for sublist in padding[::-1] for item in sublist])
+  def getdtype(self): return np.float32
+
   @staticmethod
   def fromCPU(data):
     return TorchBuffer(torch.from_numpy(data).requires_grad_(False)).to(device)
   def toCPU(x):
     return x.cpu().numpy()
-  def getdtype(self):
-    return np.float32
 
   unary_op, binary_op, reduce_op, movement_op = CPUBuffer.unary_op, CPUBuffer.binary_op, CPUBuffer.reduce_op, CPUBuffer.movement_op