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/dports/science/py-pymatgen/pymatgen-2022.0.15/pymatgen/analysis/
H A Dpiezo_sensitivity.py105 new = op.transform_tensor(self.bec[relations[atom][1]])
232 new = op.transform_tensor(self.ist[j])
257 temp_tensor += op[1].transform_tensor(IST[op[0]])
348 new = op.transform_tensor(self.fcm[r[2]][r[3]])
366 new = op.transform_tensor(self.fcm[r[2]][r[3]])
407 tempfcm = symop.transform_tensor(tempfcm)
428 temp_tensor2 = op[4][pair].transform_tensor(temp_tensor2)
466 tempfcm = symop.transform_tensor(tempfcm)
490 temp_tensor2 = op[4][pair].transform_tensor(temp_tensor2)
593 tempfcm = symop.transform_tensor(tempfcm)
[all …]
/dports/science/py-pymatgen/pymatgen-2022.0.15/pymatgen/analysis/tests/
H A Dtest_piezo_sensitivity.py94 … self.BEC_operations[i][2][j].transform_tensor(rand_BEC[self.BEC_operations[i][1]]),
108 … self.IST_operations[i][j][1].transform_tensor(rand_IST[self.IST_operations[i][j][0]]),
127 self.FCM_operations[i][4][j].transform_tensor(
145 self.FCM_operations[i][4][j].transform_tensor(
164 self.FCM_operations[i][4][j].transform_tensor(
198 self.FCM_operations[i][4][j].transform_tensor(
248 self.FCM_operations[i][4][j].transform_tensor(
285 … self.BEC_operations[i][2][j].transform_tensor(rand_BEC[self.BEC_operations[i][1]]),
295 … self.IST_operations[i][j][1].transform_tensor(rand_IST[self.IST_operations[i][j][0]]),
328 self.FCM_operations[i][4][j].transform_tensor(
/dports/science/py-pymatgen/pymatgen-2022.0.15/pymatgen/core/tests/
H A Dtest_operations.py58 new_tensor = self.op.transform_tensor(tensor)
71 new_tensor = self.op.transform_tensor(tensor)
95 new_tensor = self.op.transform_tensor(tensor)
/dports/misc/frugally-deep/frugally-deep-0.15.13-p0/include/fdeep/layers/
H A Dsigmoid_layer.hpp28 return transform_tensor(sigmoid_activation, in_vol); in transform_input()
H A Dsoftsign_layer.hpp28 return transform_tensor(softsign_activation, in_vol); in transform_input()
H A Dswish_layer.hpp27 return transform_tensor(swish_activation, in_vol); in transform_input()
H A Dhard_sigmoid_layer.hpp28 return transform_tensor(hard_sigmoid_activation, in_vol); in transform_input()
H A Dtanh_layer.hpp27 return transform_tensor(tanh_activation, in_vol); in transform_input()
H A Dexponential_layer.hpp28 return transform_tensor(exponential_activation, in_vol); in transform_input()
H A Dgelu_layer.hpp28 return transform_tensor(gelu_activation, in_vol); in transform_input()
H A Dselu_layer.hpp32 return transform_tensor(selu_activation, in_vol); in transform_input()
H A Dleaky_relu_layer.hpp31 return transform_tensor(activation_function, in_vol); in transform_input()
H A Delu_layer.hpp31 return transform_tensor( in transform_input()
H A Dsoftplus_layer.hpp39 return transform_tensor(activation_function, in_vol); in transform_input()
H A Drelu_layer.hpp41 return transform_tensor(activation_function, in_vol); in transform_input()
H A Dsoftmax_layer.hpp33 auto output = transform_tensor(ex, inp_shifted); in transform_input()
H A Dnormalization_layer.hpp48 … return transform_tensor([&](float_type x){ return (x - mean_[idx]) / sqrt_of_variance; }, slice); in apply_impl()
/dports/science/py-pymatgen/pymatgen-2022.0.15/pymatgen/core/
H A Doperations.py137 def transform_tensor(self, tensor: np.ndarray): member in SymmOp
H A Dtensors.py121 return self.__class__(symm_op.transform_tensor(self))
/dports/misc/frugally-deep/frugally-deep-0.15.13-p0/include/fdeep/
H A Dtensor.hpp205 tensor transform_tensor(F f, const tensor& m) in transform_tensor() function
832 return transform_tensor(fplus::multiply_with(1 / divisor), sum); in average_tensors()