masahi commented on a change in pull request #10310:
URL: https://github.com/apache/tvm/pull/10310#discussion_r810780520
##########
File path: python/tvm/topi/arm_cpu/conv2d_alter_op.py
##########
@@ -333,6 +343,70 @@ def _alter_conv2d_layout(attrs, inputs, tinfos, out_type):
)
dispatch_ctx.update(target, new_workload, cfg)
return relay.nn.contrib_depthwise_conv2d_nchwc(*inputs, **new_attrs)
+
+ if topi_tmpl == "conv2d_NCHWc_int8.arm_cpu":
+ assert data_layout == "NCHW" and kernel_layout == "OIHW"
+ if cfg.is_fallback:
+ _get_default_config_int8(
+ cfg,
+ data_tensor,
+ kernel_tensor,
+ strides,
+ padding,
+ dilation,
+ out_dtype,
+ False,
+ data_layout,
+ )
+
+ batch_size, in_channel, height, width =
get_const_tuple(data_tensor.shape)
+ out_channel, channel_multiplier, kh, kw =
get_const_tuple(kernel_tensor.shape)
+ ic_bn, oc_bn = cfg["tile_ic"].size[-1], cfg["tile_oc"].size[-1]
+ n_elems = 8
+
+ # convert kernel data layout from 4D to 7D
+ data_expr, kernel_expr = inputs
+ kernel_IHWO = relay.transpose(kernel_expr, axes=(1, 2, 3, 0))
+ kernel_IHWOo = relay.reshape(kernel_IHWO, (in_channel, kh, kw,
out_channel // oc_bn, oc_bn))
+ kernel_OHWoI = relay.transpose(kernel_IHWOo, axes=(3, 1, 2, 4, 0))
+ kernel_OHWoIi = relay.reshape(
+ kernel_OHWoI, (out_channel // oc_bn, kh, kw, oc_bn, in_channel //
ic_bn, ic_bn)
+ )
+ kernel_OHWoIie = relay.reshape(
+ kernel_OHWoIi,
+ (out_channel // oc_bn, kh, kw, oc_bn, in_channel // ic_bn, ic_bn
// n_elems, n_elems),
+ )
+ kernel_OIHWioe = relay.transpose(kernel_OHWoIie, axes=(0, 4, 1, 2, 5,
3, 6))
Review comment:
Can clean this up since https://github.com/apache/tvm/pull/9996 is
merged. See the change there.
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