def TestOut(self, batchtest=False):
if not batchtest:
print('Network Out Test Real-time')
Batch = 1
else:
print('Network Out Test Batch')
Batch = 3
PhyTemp = tensor([[list(random(size=self.NubTimeSeq)) for _ in range(self.NubPhyPara)] for _ in range(Batch)],
dtype=torch.float)
TOOL.ALLP(PhyTemp)
CompTemp = tensor([[list(random(size=self.NubTimeSeq)) for _ in range(self.NubComPara)] for _ in range(Batch)],
dtype=torch.float)
TOOL.ALLP(CompTemp)
mu_v = self.GetPredictActorOut(x_py=PhyTemp, x_comp=CompTemp) # [3, 1]
TOOL.ALLP(mu_v)
mu = mu_v.data.numpy()
logstd = self.logstd.detach().numpy()
TOOL.ALLP(mu, 'mu')
TOOL.ALLP(logstd, "logstd")
action = mu + np.exp(logstd) * np.random.normal(size=logstd.shape)
TOOL.ALLP(action, "act")
action = mu + np.exp(logstd) * np.random.normal(size=logstd.shape)
TOOL.ALLP(action, "act")
action = np.clip(action, -1, 1)
TOOL.ALLP(action, "action clip")
def TestOut(self, batchtest=False):
if not batchtest:
print('Network Out Test Real-time')
Batch = 1
else:
print('Network Out Test Batch')
Batch = 3
PhyTemp = tensor([[list(random(size=self.NubTimeSeq)) for _ in range(self.NubPhyPara)] for _ in range(Batch)],
dtype=torch.float)
TOOL.ALLP(PhyTemp)
CompTemp = tensor([[list(random(size=self.NubTimeSeq)) for _ in range(self.NubComPara)] for _ in range(Batch)],
dtype=torch.float)
TOOL.ALLP(CompTemp)
self.GetPredictActorOut(x_py=PhyTemp, x_comp=CompTemp)
def TestOut(self, batchtest=False):
if not batchtest:
print('Network Out Test Real-time')
Batch = 1
else:
print('Network Out Test Batch')
Batch = 3
PhyTemp = tensor([[list(random(size=self.NubTimeSeq)) for _ in range(self.NubPhyPara)] for _ in range(Batch)],
dtype=torch.float)
TOOL.ALLP(PhyTemp)
CompTemp = tensor([[list(random(size=self.NubTimeSeq)) for _ in range(self.NubComPara)] for _ in range(Batch)],
dtype=torch.float)
TOOL.ALLP(CompTemp)
val = self.GetPredictCrticOut(x_py=PhyTemp, x_comp=CompTemp) # [3, 1]
TOOL.ALLP(val, "val")
val = np.clip(val.data.numpy(), -1, 1)
TOOL.ALLP(val, "val")