[GitHub] [incubator-mxnet] Kh4L commented on a change in pull request #19385: Update MXNet-TRT docs with the new optimize_for API

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

Kh4L commented on a change in pull request #19385:
URL: https://github.com/apache/incubator-mxnet/pull/19385#discussion_r508956959



##########
File path: docs/python_docs/python/tutorials/performance/backend/tensorrt/tensorrt.md
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@@ -33,74 +33,92 @@ from mxnet.gluon.model_zoo import vision
 import time
 import os
 
+ctx=mx.gpu(0)
+
+path = 'resnet18_v2'
 batch_shape = (1, 3, 224, 224)
-resnet18 = vision.resnet18_v2(pretrained=True)
-resnet18.hybridize()
-resnet18.forward(mx.nd.zeros(batch_shape))
-resnet18.export('resnet18_v2')
-sym, arg_params, aux_params = mx.model.load_checkpoint('resnet18_v2', 0)
+x = mx.nd.zeros(batch_shape, ctx=ctx)
+
+model = vision.resnet18_v2(pretrained=True)
+model.hybridize(static_shape=True, static_alloc=True)
+model.collect_params().reset_ctx(ctx)
+
+[p.reset_ctx(ctx) for _,p in model.collect_params().items() if p]

Review comment:
       This is needed in 2.0, reset_ctx is not available anymore




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