From 7c419f2f5decdd480c77e2d994603caba6958090 Mon Sep 17 00:00:00 2001
From: liuxiao93 <liuxiao93@huawei.com>
Date: Wed, 13 Jan 2021 16:22:46 +0800
Subject: [PATCH] Modify nn.Range for GPU.

---
 mindspore/nn/layer/math.py | 13 +------------
 1 file changed, 1 insertion(+), 12 deletions(-)

diff --git a/mindspore/nn/layer/math.py b/mindspore/nn/layer/math.py
index 6dca3575d9..9dd62f173d 100644
--- a/mindspore/nn/layer/math.py
+++ b/mindspore/nn/layer/math.py
@@ -15,7 +15,6 @@
 """math"""
 import math
 import numpy as np
-import mindspore.context as context
 from mindspore.ops import operations as P
 from mindspore.ops.operations import _inner_ops as inner
 from mindspore.common.tensor import Tensor
@@ -128,7 +127,6 @@ class Range(Cell):
 
     def __init__(self, start, limit=None, delta=1):
         super(Range, self).__init__()
-        self.is_gpu = context.get_context("device_target") == "GPU"
         validator.check_value_type("start", start, [int, float], self.cls_name)
         validator.check_value_type("delta", delta, [int, float], self.cls_name)
         if delta == 0:
@@ -157,17 +155,8 @@ class Range(Cell):
             length_input = math.ceil((limit - start) / delta)
         self.input_tensor = Tensor(list(range(length_input)), self.dtype)
 
-        if self.is_gpu:
-            self.start = Tensor(start, self.dtype)
-            self.limit = Tensor(limit, self.dtype)
-            self.delta = Tensor(delta, self.dtype)
-            self.range_gpu = P.Range(length_input)
-
     def construct(self):
-        if self.is_gpu:
-            range_out = self.range_gpu(self.start, self.limit, self.delta)
-        else:
-            range_out = self.range_x(self.input_tensor)
+        range_out = self.range_x(self.input_tensor)
         return range_out