Alex-grovety commented on issue #8717:
URL: https://github.com/apache/tvm/issues/8717#issuecomment-915902237
output tensor is 8-bit for case when hardware has support for fast int8
arithmetic operations, if hardware hasn't support for fast int8 arithmetic
operations we get:
```
PrimFunc([placeholder, placeholder, placeholder, T_cast])
attrs={"from_legacy_te_schedule": (bool)1, "global_symbol":
"tvmgen_default_fused_nn_conv2d_add_fixed_point_multiply_clip_cast_cast_21",
"tir.noalias": (bool)1} {
allocate DepthwiseConv2d[int32 * 1], storage_scope = global
for (ax0.ax1.fused.ax2.fused.ax3.fused, 0, 401408) {
DepthwiseConv2d[0] = 0
for (di, 0, 3) {
for (dj, 0, 3) {
DepthwiseConv2d[0] = (DepthwiseConv2d[0] +
(int32(tir.if_then_else(((((1 <= (floordiv(ax0.ax1.fused.ax2.fused.ax3.fused,
7168) + di)) && ((floordiv(ax0.ax1.fused.ax2.fused.ax3.fused, 7168) + di) <
57)) && (1 <= (floordiv(floormod(ax0.ax1.fused.ax2.fused.ax3.fused, 7168), 128)
+ dj))) && ((floordiv(floormod(ax0.ax1.fused.ax2.fused.ax3.fused, 7168), 128) +
dj) < 57)), placeholder[((((di*7168) + (dj*128)) +
ax0.ax1.fused.ax2.fused.ax3.fused) - 7296)],
(int16)0))*int32(placeholder[(((di*384) + (dj*128)) +
floormod(ax0.ax1.fused.ax2.fused.ax3.fused, 128))])))
}
}
T_cast[ax0.ax1.fused.ax2.fused.ax3.fused] =
int16(uint8(max(min(tir.q_multiply_shift((DepthwiseConv2d[0] +
placeholder[floormod(ax0.ax1.fused.ax2.fused.ax3.fused, 128)]), 2080045879, 31,
-4), 255), 0)))
}
}
```
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