HIP compilation on CI targeting RDNA3 (#2459)

* hip amd compilation

* gate the test properly

* cleanup unused import

* remove superfluous numpy conversion

* add SpeedyNet tests (f32 [passes] & f16 [fails])

* make CI verbose (error log from hip compiler)

* test the real ops_hip

* Merge branch 'tinygrad:master' into ci/hip-compilation

* fix CI

* cleanup

* really fix CI

test/test_hip_rdna3.py

@@ -0,0 +1,37 @@
+#!/usr/bin/env python
+import unittest
+from tinygrad import Tensor, Device
+from tinygrad.helpers import dtypes
+from examples.beautiful_mnist import Model as MNIST
+from examples.hlb_cifar10 import SpeedyResNet
+
+@unittest.skipIf(Device.DEFAULT != "HIP", reason="testing HIP->rdna3 compilation needs HIP=1")
+class TestHIPCompilationRDNA(unittest.TestCase):
+  def test_compile_hip_mnist(self):
+    model = MNIST()
+
+    input = Tensor.rand(512,1,28,28)
+    output = model(input)
+    output.numpy()
+
+  def test_compile_hip_speedyresnet(self):
+    W = Tensor.rand(12,3,2,2)
+    model = SpeedyResNet(W)
+
+    input = Tensor.rand(512, 3, 32, 32)
+    output = model(input)
+    output.numpy()
+
+  @unittest.expectedFailure
+  def test_compile_hip_speedyresnet_hf(self):
+    Tensor.default_type = dtypes.float16
+
+    W = Tensor.rand(12,3,2,2)
+    model = SpeedyResNet(W)
+
+    input = Tensor.rand(512, 3, 32, 32)
+    output = model(input)
+    output.numpy()
+
+if __name__ == "__main__":
+  unittest.main()