[GitHub] [incubator-tvm] MarisaKirisame commented on a change in pull request #5098: [TOPI][RELAY]Global MaxPool3d and AvgPool3d topi & relay implementation

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MarisaKirisame commented on a change in pull request #5098: [TOPI][RELAY]Global MaxPool3d and AvgPool3d topi & relay implementation
URL: https://github.com/apache/incubator-tvm/pull/5098#discussion_r395415481
 
 

 ##########
 File path: python/tvm/relay/op/nn/nn.py
 ##########
 @@ -943,6 +943,76 @@ def global_avg_pool2d(data,
     return _make.global_avg_pool2d(data, layout)
 
 
+def global_max_pool3d(data,
+                      layout="NCDHW"):
+    r"""3D global maximum pooling operator.
+
+    This operator takes data as input and does 3D max value calculation
+    across each window represented by DxWxH.
+
+
+    In the default case, where the data_layout is `NCDHW`
+    a data Tensor with shape `(batch_size, in_channels, depth, height, width)`,
+    to produce an output Tensor with the following rule:
+
+    with data of shape (b, c, d, h, w)
+
+    .. math::
+
+        \mbox{out}(b, c, 1, 1, 1)  =  \max_{l=0, \ldots, d},  \max_{m=0, \ldots, h},
+              \max_{n=0, \ldots, w} \mbox{datam}(b, c, l, m, n)
+
+    Parameters
+    ----------
+    data : tvm.relay.Expr
+        The input data to the operator.
+
+    layout : str, optional
 
 Review comment:
   Optional[str]
   ```suggestion
       layout : str, optional
   ```

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