Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

fix miopen padding #5433

Merged
merged 1 commit into from
Apr 25, 2020
Merged

fix miopen padding #5433

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 3 additions & 1 deletion python/tvm/relay/op/strategy/rocm.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -36,6 +36,7 @@ def conv2d_strategy_rocm(attrs, inputs, out_type, target):
layout = attrs.data_layout
stride_h, stride_w = attrs.get_int_tuple("strides")
kernel_layout = attrs.kernel_layout
padding = attrs.get_int_tuple("padding")
if dilation_h < 1 or dilation_w < 1:
raise ValueError("dilation should be positive value")

Expand Down Expand Up @@ -77,7 +78,8 @@ def conv2d_strategy_rocm(attrs, inputs, out_type, target):
else:
raise RuntimeError("Unsupported conv2d layout {} for CUDA".format(layout))
# add miopen implementation
if "miopen" in target.libs and layout == "NCHW":
if "miopen" in target.libs and layout == "NCHW" and padding[0] == padding[2] and \
padding[1] == padding[3]:
strategy.add_implementation(
wrap_compute_conv2d(topi.rocm.conv2d_nchw_miopen, True),
wrap_topi_schedule(topi.rocm.schedule_conv2d_nchw_miopen),
Expand Down
6 changes: 3 additions & 3 deletions topi/python/topi/rocm/conv2d.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -66,7 +66,7 @@ def conv2d_nchw_miopen(cfg, data, kernel, strides, padding, dilation,
pt, pl, pb, pr = get_pad_tuple(padding, (KH, KW))
pad_h, pad_w = pt + pb, pl + pr
dilation_h, dilation_w = (dilation, dilation) if isinstance(dilation, int) else dilation

assert (pt == pb) and (pl == pr)
OH = (H + 2 * pad_h - KH) // stride_h + 1
OW = (W + 2 * pad_w - KW) // stride_w + 1
cfg.add_flop(2 * N * OH * OW * CO * CI * ((KH - 1) * dilation_h + 1) *\
Expand All @@ -76,8 +76,8 @@ def conv2d_nchw_miopen(cfg, data, kernel, strides, padding, dilation,
kernel,
stride_h,
stride_w,
pad_h,
pad_w,
pt,
pl,
dilation_h,
dilation_w,
conv_mode=0,
Expand Down