moved override_parameters example out of sgemm example

src/pyclblast/samples/override_parameters.py

@@ -0,0 +1,42 @@
+#!/usr/bin/env python
+
+# This file is part of the CLBlast project. The project is licensed under Apache Version 2.0.
+# This file follows the PEP8 Python style guide and uses a max-width of 100 characters per line.
+#
+# Author(s):
+#   Cedric Nugteren <www.cedricnugteren.nl>
+
+import numpy as np
+import pyopencl as cl
+from pyopencl.array import Array
+import pyclblast
+from datetime import datetime
+
+if __name__ == "__main__":
+
+    # Set up pyopencl:
+    ctx = cl.create_some_context()
+    queue = cl.CommandQueue(ctx)
+
+    # Set up a basic sgemm example:
+    m, n, k = 2, 3, 4
+    a = np.random.rand(m, k).astype(dtype=np.float32)
+    b = np.random.rand(k, n).astype(dtype=np.float32)
+    c = np.empty((m, n), np.float32)
+    cla = Array(queue, a.shape, a.dtype)
+    clb = Array(queue, b.shape, b.dtype)
+    clc = Array(queue, c.shape, c.dtype)
+    cla.set(a)
+    clb.set(b)
+    clc.set(c)
+
+    # Perform sgemm on these matrices, overriding the CLBlast parameters. In this example, we'll
+    # just change the 'MWG' parameter a couple of times:
+    params = { "KWG": 32, "KWI": 2, "MDIMA": 8, "MDIMC": 8, "MWG": 64, "NDIMB": 8, "NDIMC": 8,
+            "NWG": 64, "SA": 0, "SB": 0, "STRM": 0, "STRN": 0, "VWM": 4, "VWN": 1 }
+    for mwg in (32, 64, 256):
+        print("Running sgemm tuned with MWG = %d" % mwg)
+        params["MWG"] = mwg
+        pyclblast.override_parameters(ctx.devices[0], 'Xgemm', 32, params)
+        pyclblast.gemm(queue, m, n, k, cla, clb, clc, a_ld=k, b_ld=n, c_ld=n)
+        assert np.allclose(clc.get(), a.dot(b)), "uh-oh, xgemm isn't behaving correctly"

src/pyclblast/samples/sgemm.py

@@ -10,7 +10,6 @@ import numpy as np
 import pyopencl as cl
 from pyopencl.array import Array
 import pyclblast
-from datetime import datetime
 
 # Settings for this sample
 dtype = 'float32'
@@ -20,7 +19,7 @@ ctx = cl.create_some_context()
 queue = cl.CommandQueue(ctx)
 
 print("# Setting up Numpy arrays")
-m, n, k = 128, 256, 512
+m, n, k = 2, 3, 4
 a = np.random.rand(m, k).astype(dtype=dtype)
 b = np.random.rand(k, n).astype(dtype=dtype)
 c = np.random.rand(m, n).astype(dtype=dtype)
@@ -35,17 +34,5 @@ clc.set(c)
 
 print("# Example level-3 operation: GEMM")
 pyclblast.gemm(queue, m, n, k, cla, clb, clc, a_ld=k, b_ld=n, c_ld=n)
-print("# PyCLBlast matrix result is correct?:", np.allclose(clc.get(), np.dot(a, b)))
-
-print("# GFLOPS when tuned with different values of MWG:")
-params = { "KWG": 32, "KWI": 2, "MDIMA": 8, "MDIMC": 8, "MWG": 64, "NDIMB": 8, "NDIMC": 8, "NWG": 64, "SA": 0, "SB": 0, "STRM": 0, "STRN": 0, "VWM": 4, "VWN": 1 }
-mwg = 1
-while mwg <= 256:
-    params["MWG"] = mwg
-    pyclblast.override_parameters(ctx.devices[0], 'Xgemm', 32, params)
-    for i in range(100):
-        if i == 10:
-            t0 = datetime.now()
-        pyclblast.gemm(queue, m, n, k, cla, clb, clc, a_ld=k, b_ld=n, c_ld=n)
-    print("#\tMWG = %-3d : %4d" % (mwg,  int(2 * m * n * k / ((datetime.now() - t0).total_seconds() / 100) / 1024 ** 3)))
-    mwg *= 4
+print("# Matrix C result: %s" % clc.get())
+print("# Expected result: %s" % (np.dot(a, b)))