[GitHub] pengzhao-intel commented on a change in pull request #10104: [WIP][MXNET-107] Fused RNN implementation for CPU

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pengzhao-intel commented on a change in pull request #10104: [WIP][MXNET-107] Fused RNN implementation for CPU
URL: https://github.com/apache/incubator-mxnet/pull/10104#discussion_r174700741
 
 

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 File path: tests/python/unittest/test_operator.py
 ##########
 @@ -27,6 +27,83 @@
 from common import setup_module, with_seed
 import unittest
 
+def check_lstm_with_type(xpu, type1, type2, atol):
+    X = mx.sym.Variable('x')
+    Params = mx.sym.Variable('params')
+    HX = mx.sym.Variable('state')
+    CX = mx.sym.Variable('state_cell')
+    T, N, I, H, nd, nl = 4, 16, 800, 800, 1, 1
+    size = (I + H + 2) * H * 4 * nd;                # first layer
+    x1 = mx.random.uniform(-1, 1, (T, N, I), ctx=xpu, dtype=type1)
+    wx = mx.random.uniform(-1, 1, (4 * H, I), ctx=xpu,dtype=type1)
+    wh = mx.random.uniform(-1, 1, (4 * H, H), ctx=xpu,dtype=type1)
+    bx = mx.nd.zeros((4 * H,), ctx=xpu, dtype=type1)
+    bh = mx.nd.zeros((4 * H,), ctx=xpu, dtype=type1)
+    x1.attach_grad()
 
 Review comment:
   In case use stateful OP, what's your opinion @eric-haibin-lin ?

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