[PYTHON] Added automated benchmark script (#63)

This adds a bench functionality to the setup.py that can be used to run the benchmark suite and generates a bunch of csv files (and optionally plots)

python setup.py bench
python setup.py bench --with-plots
python setup.py bench --filter=cross_entropy

python/test/test_conv.py

@@ -0,0 +1,17 @@
+import torch
+import triton
+
+
+def test_op():
+    torch.manual_seed(0)
+    DTYPE = torch.float16
+    N, H, W, CI, CO, R, S = 1, 56, 56, 1024, 1024, 3, 3
+    pad, stride, = (1, 1), (1, 1)
+    dilation = (1, 1)
+    a = torch.rand((N , CI, H, W ), dtype=DTYPE, device='cuda')  / CI**.5
+    b = torch.rand((CI, R , S, CO), dtype=DTYPE, device='cuda')  / CI**.5
+    th_c = torch.nn.functional.conv2d(a, b.permute(3,0,1,2), None, stride, pad, dilation)
+    tt_c = triton.ops.conv(a, b, pad, stride)
+    rtol, atol = {torch.float32: (1e-4, 1e-5),
+                  torch.float16: (1e-2, 1e-3)}[DTYPE]
+    assert torch.allclose(tt_c, th_c, atol=atol, rtol=rtol)