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28 changes: 13 additions & 15 deletions topi/python/topi/x86/conv2d_alter_op.py
Original file line number Diff line number Diff line change
Expand Up @@ -158,21 +158,19 @@ def _alter_conv2d_layout(attrs, inputs, tinfo, F):
return None
return F.nn.contrib_conv2d_nchwc_int8(*copy_inputs, **new_attrs)

if data_layout == 'NCHW' and attrs['kernel_layout'] == 'OIHW':
# (oc, ic, h, w) -> (OC, IC, h, w, ic, oc)
new_attrs['kernel_layout'] = 'OIHW%di%do' % (ic_bn, oc_bn)
# Store altered operator's config
new_kernel = tvm.placeholder((out_channel//oc_bn, in_channel//ic_bn,
kh, kw, ic_bn, oc_bn), dtype=kernel_tensor.dtype)
new_workload = autotvm.task.args_to_workload(
[new_data, new_kernel, strides, padding, dilation, new_attrs[layout_name],
new_attrs['out_layout'], out_dtype], conv2d_NCHWc)
dispatch_ctx.update(target, new_workload, cfg)

if F.__name__ == 'nnvm.symbol':
return F.contrib.conv2d_NCHWc(*copy_inputs, **new_attrs)
return F.nn.contrib_conv2d_nchwc(*copy_inputs, **new_attrs)
return None
# (oc, ic, h, w) -> (OC, IC, h, w, ic, oc)
new_attrs['kernel_layout'] = 'OIHW%di%do' % (ic_bn, oc_bn)
# Store altered operator's config
new_kernel = tvm.placeholder((out_channel//oc_bn, in_channel//ic_bn,
kh, kw, ic_bn, oc_bn), dtype=kernel_tensor.dtype)
new_workload = autotvm.task.args_to_workload(
[new_data, new_kernel, strides, padding, dilation, new_attrs[layout_name],
new_attrs['out_layout'], out_dtype], conv2d_NCHWc)
dispatch_ctx.update(target, new_workload, cfg)

if F.__name__ == 'nnvm.symbol':
return F.contrib.conv2d_NCHWc(*copy_inputs, **new_attrs)
return F.nn.contrib_conv2d_nchwc(*copy_inputs, **new_attrs)


@conv2d_legalize.register("cpu")
Expand Down