From dffdb23b64f81df758a2fd86107f18d8f63e35bf Mon Sep 17 00:00:00 2001
From: Ishi Tatsuyuki <ishitatsuyuki@gmail.com>
Date: Thu, 8 Oct 2020 21:37:57 +0900
Subject: [PATCH] Fix leakyReLU support for CoreML (#6651)

The original implementation failed with the following error:

File "../include/tvm/runtime/packed_func.h", line 372
TVMError: Check failed: type_code_ == kDLFloat (8 vs. 2) : expected float but get Object
---
 python/tvm/relay/frontend/coreml.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/python/tvm/relay/frontend/coreml.py b/python/tvm/relay/frontend/coreml.py
index e510d6a24ac9..4efe014b9ffd 100644
--- a/python/tvm/relay/frontend/coreml.py
+++ b/python/tvm/relay/frontend/coreml.py
@@ -138,7 +138,7 @@ def _ActivationParams(op, inexpr, etab):
     if whichActivation == "ReLU":
         return _op.nn.relu(inexpr)
     if whichActivation == "leakyReLU":
-        _op.nn.leaky_relu(inexpr, alpha=_expr.const(par.alpha, dtype="float32"))
+        return _op.nn.leaky_relu(inexpr, alpha=par.alpha)
     elif whichActivation == "thresholdedReLU":
         alpha_tensor = _op.full_like(inexpr, fill_value=_expr.const(par.alpha, dtype="float32"))
         return _op.multiply(inexpr, _op.greater(inexpr, alpha_tensor).as_type("float32"))