Added a sample to demonstrate a batched routine

src/pyclblast/samples/saxpybatched.py

@@ -0,0 +1,46 @@
+#!/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
+
+# Settings for this sample:
+batch_count = 2
+dtype = 'float32'
+alphas = [1.5, 1.0]
+n = 4
+
+print("# Setting up OpenCL")
+ctx = cl.create_some_context()
+queue = cl.CommandQueue(ctx)
+
+print("# Setting up Numpy arrays")
+x = np.random.rand(n * batch_count).astype(dtype=dtype)
+y = np.random.rand(n * batch_count).astype(dtype=dtype)
+
+print("# Batch offsets: next after each other")
+x_offsets = [0, n]
+y_offsets = [0, n]
+
+print("# Setting up OpenCL arrays")
+clx = Array(queue, x.shape, x.dtype)
+cly = Array(queue, y.shape, y.dtype)
+clx.set(x)
+cly.set(y)
+
+print("# Example level-1 batched operation: AXPY-batched")
+assert len(alphas) == len(x_offsets) == len(y_offsets) == batch_count
+pyclblast.axpyBatched(queue, n, clx, cly, alphas, x_offsets, y_offsets)
+queue.finish()
+
+print("# Full result for vector y: %s" % str(cly.get()))
+for i in range(batch_count):
+	result = alphas[i] * x[x_offsets[i]:x_offsets[i] + n] + y[y_offsets[i]:y_offsets[i] + n]
+	print("# Expected result batch #%d: %s" % (i, str(result)))