[Strategy][ARM CPU] Remove contrib spatial pack schedule of depthwise…

… convolution (#5148) * [Strategy][ARM CPU] Low the plevel of contrib spatial pack of depthwise convolution * address comments
apache · Mar 26, 2020 · 314f31b · 314f31b
1 parent 08b38be
commit 314f31b
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Showing 2 changed files with 15 additions and 5 deletions.
diff --git a/python/tvm/relay/op/strategy/arm_cpu.py b/python/tvm/relay/op/strategy/arm_cpu.py
@@ -105,11 +105,16 @@ def conv2d_strategy_arm_cpu(attrs, inputs, out_type, target):
                     wrap_compute_conv2d(topi.arm_cpu.depthwise_conv2d_nchw),
                     wrap_topi_schedule(topi.arm_cpu.schedule_depthwise_conv2d_nchw),
                     name="depthwise_conv2d_nchw.arm_cpu")
-            strategy.add_implementation(
-                wrap_compute_conv2d(topi.arm_cpu.depthwise_conv2d_nchw_spatial_pack),
-                wrap_topi_schedule(topi.arm_cpu.schedule_depthwise_conv2d_nchw_spatial_pack),
-                name="depthwise_conv2d_nchw_spatial_pack.arm_cpu",
-                plevel=15)
+            # TODO:
+            # This schedule has incorrect result on some hardware platforms (like NV Jetson TX2)
+            # Let us comment it out but not remove.
+            # see discussion:
+            # https://discuss.tvm.ai/t/autotuner-incorrect-result-after-tuning-mobilenetv2-on-arm-cpu/6088
+            # strategy.add_implementation(
+            #     wrap_compute_conv2d(topi.arm_cpu.depthwise_conv2d_nchw_spatial_pack),
+            #     wrap_topi_schedule(topi.arm_cpu.schedule_depthwise_conv2d_nchw_spatial_pack),
+            #     name="depthwise_conv2d_nchw_spatial_pack.arm_cpu",
+            #     plevel=15)
         elif layout == "NHWC":
             assert kernel_layout == "HWOI"
             logger.warning("depthwise_conv2d with layout NHWC is not optimized for arm cpu.")

diff --git a/topi/python/topi/arm_cpu/depthwise_conv2d.py b/topi/python/topi/arm_cpu/depthwise_conv2d.py
@@ -139,6 +139,11 @@ def _callback(op):
     return s
 
 
+# TODO:
+# This schedule has incorrect result on some hardware platforms (like NV Jetson TX2)
+# Let us comment it out but not remove.
+# see discussion:
+# https://discuss.tvm.ai/t/autotuner-incorrect-result-after-tuning-mobilenetv2-on-arm-cpu/6088
 @autotvm.register_topi_compute("depthwise_conv2d_nchw_spatial_pack.arm_cpu")
 def depthwise_conv2d_nchw_spatial_pack(cfg, data, kernel, strides, padding, dilation, out_dtype):
     """TOPI compute callback for depthwise_conv2d nchw