[GitHub] [tvm] michalpiszczek commented on a change in pull request #9694: [TOPI] Add generic batch norm

[GitBox <gi...@apache.org>]

michalpiszczek commented on a change in pull request #9694:
URL: https://github.com/apache/tvm/pull/9694#discussion_r767021788



##########
File path: tests/python/relay/test_op_level1.py
##########
@@ -427,6 +428,52 @@ def test_batch_norm():
         )
 
 
+def test_batch_norm_fold_const():
+    axis = 1
+    dtype = "float32"
+    shape = [4, 5, 6]
+
+    data_np = np.random.random(shape).astype(dtype)
+    beta_np = np.random.random(shape[axis]).astype(dtype)
+    gamma_np = np.random.random(shape[axis]).astype(dtype)
+    moving_mean_np = np.random.random(shape[axis]).astype(dtype)
+    moving_var_np = np.random.random(shape[axis]).astype(dtype)
+
+    data = relay.var("data", relay.TensorType(shape, dtype))
+    beta = relay.var("beta", relay.TensorType((shape[1],), dtype))
+    gamma = relay.var("gamma", relay.TensorType((shape[1],), dtype))
+    moving_mean = relay.var("moving_mean", relay.TensorType((shape[1],), dtype))
+    moving_var = relay.var("moving_var", relay.TensorType((shape[1],), dtype))
+    out = relay.nn.batch_norm(data, gamma, beta, moving_mean, moving_var, axis=axis).astuple()
+    func = relay.Function([data, gamma, beta, moving_mean, moving_var], out)
+
+    out_const = relay.nn.batch_norm(
+        relay.const(data_np),
+        relay.const(gamma_np),
+        relay.const(beta_np),
+        relay.const(moving_mean_np),
+        relay.const(moving_var_np),
+        axis=axis,
+    ).astuple()
+    func_const = relay.Function([], out_const)
+
+    # Build the module with constants to have FoldConstant transform batch_norm.
+    mod_const = tvm.IRModule.from_expr(func_const)
+    lib_const = relay.build(mod_const, tvm.target.create("llvm"))

Review comment:
       Good catch, fixed! 




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