added AMD/Intel cards support via DirectX12 ( DirectML backend )
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+2
-2
@@ -39,7 +39,7 @@ class XSegNet(object):
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self.target_t = tf.placeholder (nn.floatx, nn.get4Dshape(resolution,resolution,1) )
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# Initializing model classes
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with tf.device ('/CPU:0' if place_model_on_cpu else '/GPU:0'):
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with tf.device ('/CPU:0' if place_model_on_cpu else nn.tf_default_device_name):
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self.model = nn.XSeg(3, 32, 1, name=name)
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self.model_weights = self.model.get_weights()
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if training:
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@@ -53,7 +53,7 @@ class XSegNet(object):
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self.model_filename_list += [ [self.model, f'{model_name}.npy'] ]
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if not training:
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with tf.device ('/CPU:0' if run_on_cpu else '/GPU:0'):
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with tf.device ('/CPU:0' if run_on_cpu else nn.tf_default_device_name):
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_, pred = self.model(self.input_t)
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def net_run(input_np):
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