zhuzilin commented on a change in pull request #8041:
URL: https://github.com/apache/tvm/pull/8041#discussion_r634155870
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File path: python/tvm/relay/op/strategy/generic.py
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@@ -1495,6 +1495,28 @@ def threefry_split_strategy(attrs, inputs, out_type,
target):
return strategy
+# uniform
+def wrap_compute_uniform(topi_compute):
+ """Wrap uniform topi compute"""
+
+ def _compute_uniform(attrs, inputs, _):
+ return list(topi_compute(inputs[0], inputs[1], inputs[2],
attrs.out_shape, attrs.out_dtype))
+
+ return _compute_uniform
+
+
+@override_native_generic_func("uniform_strategy")
+def uniform_strategy(attrs, inputs, out_type, target):
+ """uniform generic strategy"""
+ strategy = _op.OpStrategy()
+ strategy.add_implementation(
+ wrap_compute_uniform(topi.random.uniform),
+ wrap_topi_schedule(topi.generic.schedule_extern),
Review comment:
As for me, the main goal for now is to add the missing bits to support
the training, so I'm not so sure about the performance... I think we could
gradually do the optimization after we have a complete workflow for training~
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