from __future__ import division __copyright__ = "Copyright (C) 2009 Andreas Kloeckner" __license__ = """ Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. """ import numpy as np import numpy.linalg as la import pytools.test import pyopencl as cl import pyopencl.array as cl_array from pyopencl.tools import ( # noqa pytest_generate_tests_for_pyopencl as pytest_generate_tests) # Are CL implementations crashy? You be the judge. :) try: import faulthandler # noqa except ImportError: pass else: faulthandler.enable() @pytools.test.mark_test.opencl def test_get_info(platform, device): failure_count = [0] pocl_quirks = [ (cl.Buffer, cl.mem_info.OFFSET), (cl.Program, cl.program_info.KERNEL_NAMES), (cl.Program, cl.program_info.NUM_KERNELS), ] CRASH_QUIRKS = [ (("NVIDIA Corporation", "NVIDIA CUDA", "OpenCL 1.0 CUDA 3.0.1"), [ (cl.Event, cl.event_info.COMMAND_QUEUE), ]), (("The pocl project", "Portable Computing Language", "OpenCL 1.2 pocl 0.8-pre"), pocl_quirks), (("The pocl project", "Portable Computing Language", "OpenCL 1.2 pocl 0.8"), pocl_quirks), (("The pocl project", "Portable Computing Language", "OpenCL 1.2 pocl 0.9-pre"), pocl_quirks), (("Apple", "Apple", "OpenCL 1.2 (Apr 25 2013 18:32:06)"), [ (cl.Program, cl.program_info.SOURCE), ]), ] QUIRKS = [] plat_quirk_key = ( platform.vendor, platform.name, platform.version) def find_quirk(quirk_list, cl_obj, info): for entry_plat_key, quirks in quirk_list: if entry_plat_key == plat_quirk_key: for quirk_cls, quirk_info in quirks: if (isinstance(cl_obj, quirk_cls) and quirk_info == info): return True return False def do_test(cl_obj, info_cls, func=None, try_attr_form=True): if func is None: def func(info): cl_obj.get_info(info) for info_name in dir(info_cls): if not info_name.startswith("_") and info_name != "to_string": print(info_cls, info_name) info = getattr(info_cls, info_name) if find_quirk(CRASH_QUIRKS, cl_obj, info): print("not executing get_info", type(cl_obj), info_name) print("(known crash quirk for %s)" % platform.name) continue try: func(info) except: msg = "failed get_info", type(cl_obj), info_name if find_quirk(QUIRKS, cl_obj, info): msg += ("(known quirk for %s)" % platform.name) else: failure_count[0] += 1 if try_attr_form: try: getattr(cl_obj, info_name.lower()) except: print("failed attr-based get_info", type(cl_obj), info_name) if find_quirk(QUIRKS, cl_obj, info): print("(known quirk for %s)" % platform.name) else: failure_count[0] += 1 do_test(platform, cl.platform_info) do_test(device, cl.device_info) ctx = cl.Context([device]) do_test(ctx, cl.context_info) props = 0 if (device.queue_properties & cl.command_queue_properties.PROFILING_ENABLE): profiling = True props = cl.command_queue_properties.PROFILING_ENABLE queue = cl.CommandQueue(ctx, properties=props) do_test(queue, cl.command_queue_info) prg = cl.Program(ctx, """ __kernel void sum(__global float *a) { a[get_global_id(0)] *= 2; } """).build() do_test(prg, cl.program_info) do_test(prg, cl.program_build_info, lambda info: prg.get_build_info(device, info), try_attr_form=False) n = 2000 a_buf = cl.Buffer(ctx, 0, n*4) do_test(a_buf, cl.mem_info) kernel = prg.sum do_test(kernel, cl.kernel_info) evt = kernel(queue, (n,), None, a_buf) do_test(evt, cl.event_info) if profiling: evt.wait() do_test(evt, cl.profiling_info, lambda info: evt.get_profiling_info(info), try_attr_form=False) # crashes on intel... if device.image_support and platform.vendor not in [ "Intel(R) Corporation", "The pocl project", ]: smp = cl.Sampler(ctx, False, cl.addressing_mode.CLAMP, cl.filter_mode.NEAREST) do_test(smp, cl.sampler_info) img_format = cl.get_supported_image_formats( ctx, cl.mem_flags.READ_ONLY, cl.mem_object_type.IMAGE2D)[0] img = cl.Image(ctx, cl.mem_flags.READ_ONLY, img_format, (128, 256)) assert img.shape == (128, 256) img.depth img.image.depth do_test(img, cl.image_info, lambda info: img.get_image_info(info)) @pytools.test.mark_test.opencl def test_invalid_kernel_names_cause_failures(ctx_factory): ctx = ctx_factory() device = ctx.devices[0] prg = cl.Program(ctx, """ __kernel void sum(__global float *a) { a[get_global_id(0)] *= 2; } """).build() if ctx.devices[0].platform.vendor == "The pocl project": # https://bugs.launchpad.net/pocl/+bug/1184464 import pytest pytest.skip("pocl doesn't like invalid kernel names") try: prg.sam raise RuntimeError("invalid kernel name did not cause error") except AttributeError: pass except RuntimeError: if "Intel" in device.platform.vendor: from pytest import xfail xfail("weird exception from OpenCL implementation " "on invalid kernel name--are you using " "Intel's implementation? (if so, known bug in Intel CL)") else: raise @pytools.test.mark_test.opencl def test_image_format_constructor(): # doesn't need image support to succeed iform = cl.ImageFormat(cl.channel_order.RGBA, cl.channel_type.FLOAT) assert iform.channel_order == cl.channel_order.RGBA assert iform.channel_data_type == cl.channel_type.FLOAT assert not iform.__dict__ @pytools.test.mark_test.opencl def test_nonempty_supported_image_formats(ctx_factory): context = ctx_factory() device = context.devices[0] if device.image_support: assert len(cl.get_supported_image_formats( context, cl.mem_flags.READ_ONLY, cl.mem_object_type.IMAGE2D)) > 0 else: from pytest import skip skip("images not supported on %s" % device.name) @pytools.test.mark_test.opencl def test_that_python_args_fail(ctx_factory): context = ctx_factory() prg = cl.Program(context, """ __kernel void mult(__global float *a, float b, int c) { a[get_global_id(0)] *= (b+c); } """).build() a = np.random.rand(50000) queue = cl.CommandQueue(context) mf = cl.mem_flags a_buf = cl.Buffer(context, mf.READ_WRITE | mf.COPY_HOST_PTR, hostbuf=a) knl = cl.Kernel(prg, "mult") try: knl(queue, a.shape, None, a_buf, 2, 3) assert False, "PyOpenCL should not accept bare Python types as arguments" except cl.LogicError: pass try: prg.mult(queue, a.shape, None, a_buf, float(2), 3) assert False, "PyOpenCL should not accept bare Python types as arguments" except cl.LogicError: pass prg.mult(queue, a.shape, None, a_buf, np.float32(2), np.int32(3)) a_result = np.empty_like(a) cl.enqueue_read_buffer(queue, a_buf, a_result).wait() @pytools.test.mark_test.opencl def test_image_2d(ctx_factory): context = ctx_factory() device, = context.devices if not device.image_support: from pytest import skip skip("images not supported on %s" % device) if "Intel" in device.vendor and "31360.31426" in device.version: from pytest import skip skip("images crashy on %s" % device) if "pocl" in device.platform.vendor and ( "0.8" in device.platform.version or "0.9" in device.platform.version ): from pytest import skip skip("images crashy on %s" % device) prg = cl.Program(context, """ __kernel void copy_image( __global float *dest, __read_only image2d_t src, sampler_t samp, int stride0) { int d0 = get_global_id(0); int d1 = get_global_id(1); /* const sampler_t samp = CLK_NORMALIZED_COORDS_FALSE | CLK_ADDRESS_CLAMP | CLK_FILTER_NEAREST; */ dest[d0*stride0 + d1] = read_imagef(src, samp, (float2)(d1, d0)).x; } """).build() num_channels = 1 a = np.random.rand(1024, 512, num_channels).astype(np.float32) if num_channels == 1: a = a[:, :, 0] queue = cl.CommandQueue(context) try: a_img = cl.image_from_array(context, a, num_channels) except cl.RuntimeError: import sys exc = sys.exc_info()[1] if exc.code == cl.status_code.IMAGE_FORMAT_NOT_SUPPORTED: from pytest import skip skip("required image format not supported on %s" % device.name) else: raise a_dest = cl.Buffer(context, cl.mem_flags.READ_WRITE, a.nbytes) samp = cl.Sampler(context, False, cl.addressing_mode.CLAMP, cl.filter_mode.NEAREST) prg.copy_image(queue, a.shape, None, a_dest, a_img, samp, np.int32(a.strides[0]/a.dtype.itemsize)) a_result = np.empty_like(a) cl.enqueue_copy(queue, a_result, a_dest) good = la.norm(a_result - a) == 0 if not good: if queue.device.type & cl.device_type.CPU: assert good, ("The image implementation on your CPU CL platform '%s' " "returned bad values. This is bad, but common." % queue.device.platform) else: assert good @pytools.test.mark_test.opencl def test_image_3d(ctx_factory): #test for image_from_array for 3d image of float2 context = ctx_factory() device, = context.devices if not device.image_support: from pytest import skip skip("images not supported on %s" % device) if device.platform.vendor == "Intel(R) Corporation": from pytest import skip skip("images crashy on %s" % device) prg = cl.Program(context, """ __kernel void copy_image_plane( __global float2 *dest, __read_only image3d_t src, sampler_t samp, int stride0, int stride1) { int d0 = get_global_id(0); int d1 = get_global_id(1); int d2 = get_global_id(2); /* const sampler_t samp = CLK_NORMALIZED_COORDS_FALSE | CLK_ADDRESS_CLAMP | CLK_FILTER_NEAREST; */ dest[d0*stride0 + d1*stride1 + d2] = read_imagef( src, samp, (float4)(d2, d1, d0, 0)).xy; } """).build() num_channels = 2 shape = (3, 4, 2) a = np.random.random(shape + (num_channels,)).astype(np.float32) queue = cl.CommandQueue(context) try: a_img = cl.image_from_array(context, a, num_channels) except cl.RuntimeError: import sys exc = sys.exc_info()[1] if exc.code == cl.status_code.IMAGE_FORMAT_NOT_SUPPORTED: from pytest import skip skip("required image format not supported on %s" % device.name) else: raise a_dest = cl.Buffer(context, cl.mem_flags.READ_WRITE, a.nbytes) samp = cl.Sampler(context, False, cl.addressing_mode.CLAMP, cl.filter_mode.NEAREST) prg.copy_image_plane(queue, shape, None, a_dest, a_img, samp, np.int32(a.strides[0]/a.itemsize/num_channels), np.int32(a.strides[1]/a.itemsize/num_channels), ) a_result = np.empty_like(a) cl.enqueue_copy(queue, a_result, a_dest) good = la.norm(a_result - a) == 0 if not good: if queue.device.type & cl.device_type.CPU: assert good, ("The image implementation on your CPU CL platform '%s' " "returned bad values. This is bad, but common." % queue.device.platform) else: assert good @pytools.test.mark_test.opencl def test_copy_buffer(ctx_factory): context = ctx_factory() queue = cl.CommandQueue(context) mf = cl.mem_flags a = np.random.rand(50000).astype(np.float32) b = np.empty_like(a) buf1 = cl.Buffer(context, mf.READ_ONLY | mf.COPY_HOST_PTR, hostbuf=a) buf2 = cl.Buffer(context, mf.WRITE_ONLY, b.nbytes) cl.enqueue_copy_buffer(queue, buf1, buf2).wait() cl.enqueue_read_buffer(queue, buf2, b).wait() assert la.norm(a - b) == 0 @pytools.test.mark_test.opencl def test_mempool(ctx_factory): from pyopencl.tools import MemoryPool, CLAllocator context = ctx_factory() pool = MemoryPool(CLAllocator(context)) maxlen = 10 queue = [] e0 = 12 for e in range(e0-6, e0-4): for i in range(100): queue.append(pool.allocate(1<<e)) if len(queue) > 10: queue.pop(0) del queue pool.stop_holding() @pytools.test.mark_test.opencl def test_mempool_2(): from pyopencl.tools import MemoryPool from random import randrange for i in range(2000): s = randrange(1<<31) >> randrange(32) bin_nr = MemoryPool.bin_number(s) asize = MemoryPool.alloc_size(bin_nr) assert asize >= s, s assert MemoryPool.bin_number(asize) == bin_nr, s assert asize < asize*(1+1/8) @pytools.test.mark_test.opencl def test_vector_args(ctx_factory): context = ctx_factory() queue = cl.CommandQueue(context) prg = cl.Program(context, """ __kernel void set_vec(float4 x, __global float4 *dest) { dest[get_global_id(0)] = x; } """).build() x = cl_array.vec.make_float4(1,2,3,4) dest = np.empty(50000, cl_array.vec.float4) mf = cl.mem_flags dest_buf = cl.Buffer(context, mf.READ_WRITE | mf.COPY_HOST_PTR, hostbuf=dest) prg.set_vec(queue, dest.shape, None, x, dest_buf) cl.enqueue_read_buffer(queue, dest_buf, dest).wait() assert (dest == x).all() @pytools.test.mark_test.opencl def test_header_dep_handling(ctx_factory): context = ctx_factory() from os.path import exists assert exists("empty-header.h") # if this fails, change dir to pyopencl/test kernel_src = """ #include <empty-header.h> kernel void zonk(global int *a) { *a = 5; } """ import os cl.Program(context, kernel_src).build(["-I", os.getcwd()]) cl.Program(context, kernel_src).build(["-I", os.getcwd()]) @pytools.test.mark_test.opencl def test_context_dep_memoize(ctx_factory): context = ctx_factory() from pyopencl.tools import context_dependent_memoize counter = [0] @context_dependent_memoize def do_something(ctx): counter[0] += 1 do_something(context) do_something(context) assert counter[0] == 1 @pytools.test.mark_test.opencl def test_can_build_binary(ctx_factory): ctx = ctx_factory() device, = ctx.devices program = cl.Program(ctx, """ __kernel void simple(__global float *in, __global float *out) { out[get_global_id(0)] = in[get_global_id(0)]; }""") program.build() binary = program.get_info(cl.program_info.BINARIES)[0] foo = cl.Program(ctx, [device], [binary]) foo.build() if __name__ == "__main__": # make sure that import failures get reported, instead of skipping the tests. import pyopencl import sys if len(sys.argv) > 1: exec(sys.argv[1]) else: from py.test.cmdline import main main([__file__])