Tomasz Rybak <[email protected]> writes:
> I again got failure request trying to send email
> to the lists@ - so here I am sending it again.
Can you forward one of these failures?
> -------- Wiadomość przekazywana ----------
>> I'd very much like to hear more test results from other GPUs for the
>> current code in git.
>>
>
> Loveland:
> There are still some errors is scan, but the one I was fighting
> does not appear on 13.1 drivers. I'll try test and play with it
> tomorrow.
>
> test_algorithm.py ................s.............F.F.F.....F...F.
Those look somewhat similar to what I'm seeing on "Devastator" (a
Trinity/Northern Islands-based APU). Still not sure what's up there.
(btw--"Devastator"? "Loveland"? Who at AMD makes up these names? :)
Andreas
Rest preserved below for posterity:
> =================================== FAILURES
> ===================================
> test_copy_if[ctx_factory=<context factory for <pyopencl.Device
> 'Loveland' on 'AMD Accelerated Parallel Processing' at 0x231be20>>]
>
> ctx_factory = <pyopencl.tools.ContextFactory instance at 0x1f8cc20>
>
> @pytools.test.mark_test.opencl
> def test_copy_if(ctx_factory):
> from pytest import importorskip
> importorskip("mako")
>
> context = ctx_factory()
> queue = cl.CommandQueue(context)
>
> from pyopencl.clrandom import rand as clrand
> for n in scan_test_counts:
> a_dev = clrand(queue, (n,), dtype=np.int32, a=0, b=1000)
> a = a_dev.get()
>
> from pyopencl.algorithm import copy_if
>
> crit = a_dev.dtype.type(300)
> selected = a[a>crit]
> selected_dev, count_dev = copy_if(a_dev, "ary[i] > myval",
> [("myval", crit)])
>
>> assert (selected_dev.get()[:count_dev.get()] ==
> selected).all()
> E AttributeError: 'bool' object has no attribute 'all'
>
> test_algorithm.py:552: AttributeError
> test_partition[ctx_factory=<context factory for <pyopencl.Device
> 'Loveland' on 'AMD Accelerated Parallel Processing' at 0x231be20>>]
>
> ctx_factory = <pyopencl.tools.ContextFactory instance at 0x1f8c638>
>
> @pytools.test.mark_test.opencl
> def test_partition(ctx_factory):
> context = ctx_factory()
> queue = cl.CommandQueue(context)
>
> from pyopencl.clrandom import rand as clrand
> for n in scan_test_counts:
> print("part", n)
>
> a_dev = clrand(queue, (n,), dtype=np.int32, a=0, b=1000)
> a = a_dev.get()
>
> crit = a_dev.dtype.type(300)
> true_host = a[a>crit]
> false_host = a[a<=crit]
>
> from pyopencl.algorithm import partition
> true_dev, false_dev, count_true_dev = partition(a_dev,
> "ary[i] > myval", [("myval", crit)])
>
> count_true_dev = count_true_dev.get()
>
>> assert (true_dev.get()[:count_true_dev] == true_host).all()
> E AttributeError: 'bool' object has no attribute 'all'
>
> test_algorithm.py:577: AttributeError
> ------------------------------- Captured stdout
> --------------------------------
> ('part', 10)
> ('part', 255)
> ('part', 256)
> ('part', 257)
> ('part', 1019)
> ('part', 1024)
> ('part', 1029)
> ('part', 4091)
> ('part', 4096)
> ('part', 4101)
> ('part', 786432)
> ('part', 786437)
> test_unique[ctx_factory=<context factory for <pyopencl.Device
> 'Loveland' on 'AMD Accelerated Parallel Processing' at 0x231be20>>]
>
> ctx_factory = <pyopencl.tools.ContextFactory instance at 0x224fb48>
>
> @pytools.test.mark_test.opencl
> def test_unique(ctx_factory):
> context = ctx_factory()
> queue = cl.CommandQueue(context)
>
> from pyopencl.clrandom import rand as clrand
> for n in scan_test_counts:
> a_dev = clrand(queue, (n,), dtype=np.int32, a=0, b=1000)
> a = a_dev.get()
> a = np.sort(a)
> a_dev = cl_array.to_device(queue, a)
>
> a_unique_host = np.unique(a)
>
> from pyopencl.algorithm import unique
> a_unique_dev, count_unique_dev = unique(a_dev)
>
> count_unique_dev = count_unique_dev.get()
>
>> assert (a_unique_dev.get()[:count_unique_dev] ==
> a_unique_host).all()
> E AttributeError: 'bool' object has no attribute 'all'
>
> test_algorithm.py:599: AttributeError
> test_sort[ctx_factory=<context factory for <pyopencl.Device 'Loveland'
> on 'AMD Accelerated Parallel Processing' at 0x231be20>>]
>
> ctx_factory = <pyopencl.tools.ContextFactory instance at 0x1f905f0>
>
> @pytools.test.mark_test.opencl
> def test_sort(ctx_factory):
> from pytest import importorskip
> importorskip("mako")
>
> context = ctx_factory()
> queue = cl.CommandQueue(context)
>
> dtype = np.int32
>
> from pyopencl.algorithm import RadixSort
> sort = RadixSort(context, "int *ary", key_expr="ary[i]",
> sort_arg_names=["ary"])
>
> from pyopencl.clrandom import RanluxGenerator
> rng = RanluxGenerator(queue, seed=15)
>
> from time import time
>
> # intermediate arrays for largest size cause out-of-memory on
> low-end GPUs
> for n in scan_test_counts[:-1]:
> print(n)
>
> print(" rng")
> a_dev = rng.uniform(queue, (n,), dtype=dtype, a=0, b=2**16)
> a = a_dev.get()
>
> dev_start = time()
> print(" device")
> a_dev_sorted, = sort(a_dev, key_bits=16)
> queue.finish()
> dev_end = time()
> print(" numpy")
> a_sorted = np.sort(a)
> numpy_end = time()
>
> numpy_elapsed = numpy_end-dev_end
> dev_elapsed = dev_end-dev_start
> print (" dev: %.2f MKeys/s numpy: %.2f MKeys/s ratio:
> %.2fx" % (
> 1e-6*n/dev_elapsed, 1e-6*n/numpy_elapsed,
> numpy_elapsed/dev_elapsed))
>> assert (a_dev_sorted.get() == a_sorted).all()
> E assert <built-in method all of numpy.ndarray object at
> 0x7fa3e01e1780>()
> E + where <built-in method all of numpy.ndarray object at
> 0x7fa3e01e1780> = array([ 36, 47, 56, ..., 65467, 65521, 65535],
> dtype=int32) == array([ 22, 32, 36, ..., 65419, 65423, 65529],
> dtype=int32).all
> E + where array([ 36, 47, 56, ..., 65467, 65521,
> 65535], dtype=int32) = <bound method Array.get of array([ 36, 47,
> 56, ..., 65467, 65521, 65535], dtype=int32)>()
> E + where <bound method Array.get of array([ 36,
> 47, 56, ..., 65467, 65521, 65535], dtype=int32)> = array([ 36,
> 47, 56, ..., 65467, 65521, 65535], dtype=int32).get
>
> test_algorithm.py:773: AssertionError
> ------------------------------- Captured stdout
> --------------------------------
> 10
> rng
> device
> numpy
> dev: 0.00 MKeys/s numpy: 0.03 MKeys/s ratio: 0.00x
> 255
> rng
> device
> numpy
> dev: 0.02 MKeys/s numpy: 1.00 MKeys/s ratio: 0.02x
> 256
> rng
> device
> numpy
> dev: 0.03 MKeys/s numpy: 0.92 MKeys/s ratio: 0.03x
> 257
> rng
> device
> numpy
> dev: 0.03 MKeys/s numpy: 0.81 MKeys/s ratio: 0.03x
> 1019
> rng
> device
> numpy
> dev: 0.10 MKeys/s numpy: 2.82 MKeys/s ratio: 0.04x
> 1024
> rng
> device
> numpy
> dev: 0.11 MKeys/s numpy: 2.54 MKeys/s ratio: 0.04x
> 1029
> rng
> device
> numpy
> dev: 0.10 MKeys/s numpy: 2.63 MKeys/s ratio: 0.04x
> 4091
> rng
> device
> numpy
> dev: 0.25 MKeys/s numpy: 4.61 MKeys/s ratio: 0.05x
> 4096
> rng
> device
> numpy
> dev: 0.32 MKeys/s numpy: 3.22 MKeys/s ratio: 0.10x
> 4101
> rng
> device
> numpy
> dev: 0.31 MKeys/s numpy: 3.65 MKeys/s ratio: 0.09x
> test_key_value_sorter[ctx_factory=<context factory for <pyopencl.Device
> 'Loveland' on 'AMD Accelerated Parallel Processing' at 0x231be20>>]
>
> ctx_factory = <pyopencl.tools.ContextFactory instance at 0x1f853b0>
>
> @pytools.test.mark_test.opencl
> def test_key_value_sorter(ctx_factory):
> from pytest import importorskip
> importorskip("mako")
>
> context = ctx_factory()
> queue = cl.CommandQueue(context)
>
> n = 10**5
> nkeys = 2000
> from pyopencl.clrandom import rand as clrand
> keys = clrand(queue, n, np.int32, b=nkeys)
> values = clrand(queue, n, np.int32, b=n).astype(np.int64)
>
> assert np.max(keys.get()) < nkeys
>
> from pyopencl.algorithm import KeyValueSorter
> kvs = KeyValueSorter(context)
> starts, lists = kvs(queue, keys, values, nkeys,
> starts_dtype=np.int32)
>
> starts = starts.get()
> lists = lists.get()
>
> mydict = dict()
> for k, v in zip(keys.get(), values.get()):
> mydict.setdefault(k, []).append(v)
>
> for i in range(nkeys):
> start, end = starts[i:i+2]
>> assert sorted(mydict[i]) == sorted(lists[start:end])
> E assert [4300, 7248, ...3, 10861, ...] == []
> E Left contains more items, first extra item: 4300
>
> test_algorithm.py:830: AssertionError
> =============== 5 failed, 40 passed, 1 skipped in 290.93 seconds
>
>
> --
> Tomasz Rybak GPG/PGP key ID: 2AD5 9860
> Fingerprint A481 824E 7DD3 9C0E C40A 488E C654 FB33 2AD5 9860
> http://member.acm.org/~tomaszrybak
>
>
> --
> Tomasz Rybak GPG/PGP key ID: 2AD5 9860
> Fingerprint A481 824E 7DD3 9C0E C40A 488E C654 FB33 2AD5 9860
> http://member.acm.org/~tomaszrybak
>
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