masahi commented on a change in pull request #10773:
URL: https://github.com/apache/tvm/pull/10773#discussion_r836284598
##########
File path: tests/python/topi/python/test_topi_conv2d_int8.py
##########
@@ -370,29 +352,42 @@ def get_ref_data():
lambda a, w, s, p, d, l, ol, o: topi.cuda.conv2d_NCHWc_int8(a, w,
s, p, d, l, o),
topi.cuda.schedule_conv2d_NCHWc_int8,
4,
+ False,
),
# Disable on CI since it does not support spirv int8 dot product
# (
# "vulkan -from_device=0",
# lambda a, w, s, p, d, l, ol, o: topi.cuda.conv2d_NCHWc_int8(a,
w, s, p, d, l, o),
# topi.cuda.schedule_conv2d_NCHWc_int8,
# 4,
+ # False,
# ),
]
- # TODO(Mousius) Re-enable once implementation is fixed
- # if in_dtype == "int8":
- # targets.append(
- # (
- # "llvm -device arm_cpu -mtriple aarch64-linux-gnu
-mattr=+neon",
- # topi.arm_cpu.conv2d_NCHWc_int8,
- # topi.arm_cpu.schedule_conv2d_NCHWc_int8,
- # 8,
- # )
- # )
-
- for target, compute, schedule, oc_block_factor in targets:
- check_target(target, compute, schedule, oc_block_factor)
+ # TODO(tvm-team): Properly run ARM code on CI aarch64 environment
+ targets.append(
+ (
+ "llvm -device arm_cpu -mtriple aarch64-linux-gnu
-mattr=+neon,+v8.2a,+dotprod",
Review comment:
Yeah I can do that, but as you already found, ARM conv2d NCHWc op
doesn't output correct results at the moment (It looks like the compute itself
is busted, so the schedule doesn't matter). I'm going to fix that soon and add
such fine-grained check to actually run things.
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