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new cedb0ba35a [hexagon][benchmark] Add workload with [1,?] shape (#11163)
cedb0ba35a is described below
commit cedb0ba35ab4b96dfe5fc331e308f02e58670096
Author: Christian Convey <[email protected]>
AuthorDate: Thu Apr 28 13:48:16 2022 -0400
[hexagon][benchmark] Add workload with [1,?] shape (#11163)
Re-enable a benchmark configuration that was failing because
of a bug in TVM's new dimension-mapping code.
---
tests/python/contrib/test_hexagon/benchmark_hexagon.py | 13 -------------
1 file changed, 13 deletions(-)
diff --git a/tests/python/contrib/test_hexagon/benchmark_hexagon.py
b/tests/python/contrib/test_hexagon/benchmark_hexagon.py
index 386b685b05..f17530c3ef 100644
--- a/tests/python/contrib/test_hexagon/benchmark_hexagon.py
+++ b/tests/python/contrib/test_hexagon/benchmark_hexagon.py
@@ -163,19 +163,6 @@ def test_elemwise_add(android_serial_number,
hexagon_launcher):
version_name =
f"dtype:{dtype}-schedtype:{sched_type}-memscope:{mem_scope}-numvecs:{num_vectors_per_tensor}"
print(f"CONFIGURATION: {version_name}")
- if num_vectors_per_tensor == 1 and mem_scope == "global.vtcm":
- # 2022-04-12 (cconvey): There's currently a bug in which TVM
doesn't
- # recognize the mapping of 1D memory <--> 2D memory as being
bijective
- # when num_vectors_per_tensor == 1.
- br.record_skip(
- dtype,
- sched_type,
- mem_scope,
- num_vectors_per_tensor,
- f"Expect to hit bug where 1D-2D bijective transform not
recognized.",
- )
- return
-
if num_vectors_per_tensor == 2048 and mem_scope == "global.vtcm":
br.record_skip(
dtype,
