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Feature/sycl integration #59

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reazulhoque merged 23 commits into from
Oct 6, 2020
Merged

Feature/sycl integration #59

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82cd9d6
First stab
reazulhoque Sep 24, 2020
a40e276
Added file back
reazulhoque Sep 24, 2020
af41f8d
merge with pydppl
reazulhoque Sep 24, 2020
17cc274
WIP added scalar args and submit
reazulhoque Sep 29, 2020
89ba344
Added passing scalar to sycl backend
reazulhoque Sep 30, 2020
b796b6d
Sending reverse of global and local size to address semantic differen…
reazulhoque Sep 30, 2020
1934911
Updated all examples and tests to use the new sycl backend WIP
reazulhoque Oct 1, 2020
947b9ef
Added exlicit usm creation
reazulhoque Oct 2, 2020
5fb084b
Added llvm generation for new backend
reazulhoque Oct 2, 2020
56f429f
Merge branch 'pydppl' of https://github.com/reazulhoque/numba into fe…
reazulhoque Oct 2, 2020
6f24dda
Fixed incorrect LLVM IR generation
reazulhoque Oct 2, 2020
d009a38
Merge branch 'pydppl' into feature/sycl_integration
reazulhoque Oct 2, 2020
51c1ce3
WIP
reazulhoque Oct 2, 2020
755c21d
LLVM generation working
reazulhoque Oct 2, 2020
5289403
Cleanup
reazulhoque Oct 3, 2020
283ff1c
File name modification
reazulhoque Oct 3, 2020
93602c7
Freeing the usm buffer being allocated
reazulhoque Oct 3, 2020
f84eba4
Fix context
Oct 5, 2020
0cb8429
Merge pull request #1 from 1e-to/context_patch
reazulhoque Oct 6, 2020
249ad65
Fix for dpctl update
reazulhoque Oct 6, 2020
2757c56
small update to documentation
reazulhoque Oct 6, 2020
f48cf1b
Fix getting dpctl lib at runtime
reazulhoque Oct 6, 2020
6db2b5d
Merge branch 'pydppl' into feature/sycl_integration
reazulhoque Oct 6, 2020
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small update to documentation
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@reazulhoque
reazulhoque committed Oct 6, 2020
commit 2757c56c768b71950a18d2bd3076584618165587
12 changes: 5 additions & 7 deletions numba/dppl/__init__.py
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Original file line number Diff line number Diff line change
@@ -1,7 +1,5 @@
"""

TODO: UPDATE DOCUMENTATION WITH DPCTL

Module to interact with Intel based devices


Expand Down Expand Up @@ -167,7 +165,7 @@ def foo(in, out):
---------------------------------------------------------------------------
import numpy as np
from numba import dppl
import dppl.ocldrv as ocldrv
import dpctl

@dppl.kernel
def data_parallel_sum(a, b, c):
Expand Down Expand Up @@ -196,11 +194,11 @@ def main():
b = np.array(np.random.random(N), dtype=np.float32)
c = np.ones_like(a)

if ocldrv.has_gpu_device:
with ocldrv.igpu_context(0) as device_env:
if dpctl.has_gpu_queues():
with dpctl.device_context("opencl:gpu") as gpu_queue:
driver(device_env, a, b, c, global_size)
elif ocldrv.has_cpu_device:
with ocldrv.cpu_context(0) as device_env:
elif dpctl.has_cpu_queues():
with dpctl.device_context("opencl:cpu") as cpu_queue:
driver(device_env, a, b, c, global_size)
else:
print("No device found")
Expand Down