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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,79 @@ | ||
| import numpy as np | ||
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| from ..mps_p.projector import _full_projector | ||
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| class tpool: | ||
| def __init__(self): | ||
| self.tpool = [] | ||
| self.gpool = [] | ||
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| def _register(self, tensor): | ||
| id = len(self.tpool) | ||
| self.tpool.append([tensor, "initial", None]) | ||
| return id | ||
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| def _contract(self, tid0, ss0, tid1, ss1, ss2=None): | ||
| id = len(self.tpool) | ||
| if ss2 is None: | ||
| t = np.einsum(self.tpool[tid0][0], ss0, self.tpool[tid1][0], ss1) | ||
| else: | ||
| t = np.einsum(self.tpool[tid0][0], ss0, self.tpool[tid1][0], ss1, ss2) | ||
| self.tpool.append([t, "product", tid0, ss0, tid1, ss1, ss2]) | ||
| return id | ||
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| def _trim(self, T, d): | ||
| """trim last dimension of tensor""" | ||
| assert d <= T.shape[-1] | ||
| shape = T.shape | ||
| T = T.reshape((np.prod(shape[:-1]), shape[-1])) | ||
| return T[:, :d].reshape(shape[:-1] + (d,)) | ||
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| def _projector(self, t0, ss0, t1, ss1, maxdim=None): | ||
| S, d, WLh, WR = _full_projector(t0, ss0, t1, ss1) | ||
| d = d if maxdim is None else min(d, maxdim) | ||
| gid = len(self.gpool) | ||
| self.gpool.append([S, d, WLh, WR]) | ||
| lid = len(self.tpool) | ||
| self.tpool.append([self._trim(WLh, d), "squeezer L", gid]) | ||
| rid = len(self.tpool) | ||
| self.tpool.append([self._trim(WR, d), "squeezer R", gid]) | ||
| return gid, lid, rid | ||
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| def _dump(self, prefix): | ||
| import json | ||
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| dic = {"prefix": prefix} | ||
| tlist = [] | ||
| for id, tp in enumerate(self.tpool): | ||
| m = {} | ||
| m["id"] = id | ||
| m["type"] = tp[1] | ||
| m["shape"] = tp[0].shape | ||
| if tp[1] == "product": | ||
| m["from 0"] = tp[2] | ||
| m["subscripts 0"] = tp[3] | ||
| m["from 1"] = tp[4] | ||
| m["subscripts 1"] = tp[5] | ||
| if tp[6] is not None: | ||
| m["subscripts"] = tp[6] | ||
| elif tp[1] == "squeezer L" or tp[1] == "squeezer R": | ||
| m["from"] = tp[2] | ||
| tlist.append(m) | ||
| if tp[1] == "initial": | ||
| np.save(f"{prefix}-tensor-{id}", tp[0]) | ||
| dic["tensor"] = tlist | ||
| glist = [] | ||
| for id, gp in enumerate(self.gpool): | ||
| m = {} | ||
| m["id"] = id | ||
| m["dim from"] = gp[0].shape[0] | ||
| m["dim to"] = gp[1] | ||
| m["shape L"] = gp[2].shape | ||
| m["shape R"] = gp[3].shape | ||
| glist.append(m) | ||
| np.savez(f"{prefix}-generator-{id}", gp[0], gp[1], gp[2]) | ||
| dic["generator"] = glist | ||
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| with open(prefix + "-graph.json", mode="w") as f: | ||
| json.dump(dic, f, indent=2) |
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