[Topi, ARM] Disbale Winograd for quantized tensors.

apache · Apr 18, 2020 · d8afafe · d8afafe
1 parent 84d1eec
commit d8afafe
Showing 1 changed file with 7 additions and 2 deletions.
diff --git a/python/tvm/relay/op/strategy/arm_cpu.py b/python/tvm/relay/op/strategy/arm_cpu.py
@@ -59,16 +59,21 @@ def conv2d_strategy_arm_cpu(attrs, inputs, out_type, target):
                     wrap_compute_conv2d(topi.arm_cpu.conv2d_nchw_spatial_pack),
                     wrap_topi_schedule(topi.arm_cpu.schedule_conv2d_nchw_spatial_pack),
                     name="conv2d_nchw_spatial_pack.arm_cpu")
+
                 # Intel x86 conv2d schedule.
                 strategy.add_implementation(
                     wrap_compute_conv2d(topi.x86.conv2d_nchw),
                     wrap_topi_schedule(topi.x86.schedule_conv2d_nchw),
                     name="conv2d_nchw.x86")
+
                 # check if winograd algorithm is applicable
                 _, _, kh, kw = get_const_tuple(kernel.shape)
                 pt, pl, pb, pr = topi.nn.get_pad_tuple(padding, (kh, kw))
-                if kh == 3 and kw == 3 and stride_h == 1 and stride_w == 1 and \
-                    dilation_h == 1 and dilation_w == 1:
+                is_dtype_fp32 = data.dtype == "float32" and kernel.dtype == "float32"
+                is_winograd_applicable = kh == 3 and kw == 3 and \
+                                         stride_h == 1 and stride_w == 1 and \
+                                         dilation_h == 1 and dilation_w == 1
+                if is_dtype_fp32 and is_winograd_applicable:
                     strategy.add_implementation(
                         wrap_compute_conv2d(topi.arm_cpu.conv2d_nchw_winograd),
                         wrap_topi_schedule(topi.arm_cpu.schedule_conv2d_nchw_winograd),