From 0af71a0ffe386548e8247b18d80ae2e55598dfc2 Mon Sep 17 00:00:00 2001 From: HydrogenSulfate <490868991@qq.com> Date: Sun, 26 Nov 2023 17:57:35 +0000 Subject: [PATCH] update ugly but runnable code --- deepmd/descriptor/se_a.py | 3 + deepmd/entrypoints/freeze.py | 15 +- deepmd/fit/ener.py | 2 + deepmd/infer/deep_eval.py | 10 +- deepmd/infer/deep_pot.py | 17 + .../lmp/Model_1000000_with_buffer.pdiparams | Bin 0 -> 8244704 bytes .../lmp/Model_1000000_with_buffer.pdmodel | Bin 0 -> 1534905 bytes examples/water/lmp/in.lammps | 2 +- examples/water/lmp/model.pb | Bin 0 -> 8383806 bytes source/CMakeLists.txt | 120 +++ source/api_c/src/c_api.cc | 14 + source/api_cc/include/DeepPot.h | 6 + source/api_cc/include/common.h | 50 + source/api_cc/src/DeepPot.cc | 372 ++++++- source/api_cc/src/common.cc | 30 +- source/lib/CMakeLists.txt | 2 + source/lib/paddle_src/CMakeLists.txt | 248 +++++ ...ighbor_stat.cu => paddle_neighbor_stat.cc} | 109 +- source/lib/paddle_src/paddle_prod_env_mat.cc | 540 ++++++++++ ...prod_env_mat.cu => paddle_prod_env_mat.cu} | 950 ++++++++---------- source/lib/paddle_src/paddle_prod_force.cc | 142 +++ .../{prod_force.cu => paddle_prod_force.cu} | 155 ++- .../lib/paddle_src/paddle_prod_force_grad.cc | 141 +++ ...orce_grad.cu => paddle_prod_force_grad.cu} | 197 ++-- source/lib/paddle_src/paddle_prod_virial.cc | 155 +++ source/lib/paddle_src/paddle_prod_virial.cu | 255 +++++ .../lib/paddle_src/paddle_prod_virial_grad.cc | 147 +++ .../lib/paddle_src/paddle_prod_virial_grad.cu | 191 ++++ source/lib/paddle_src/prod_env_mat.cc | 321 ------ source/lib/paddle_src/prod_env_mat.h | 140 --- source/lib/paddle_src/prod_virial.cc | 219 ---- source/lib/paddle_src/prod_virial.cu | 496 --------- source/lib/paddle_src/prod_virial.h | 75 -- source/lib/paddle_src/prod_virial_grad.cc | 138 --- source/lib/paddle_src/prod_virial_grad.cu | 536 ---------- source/lib/paddle_src/prod_virial_grad.h | 63 -- source/lib/paddle_src/setup_ins.py | 32 +- source/lib/src/prod_env_mat.cc | 11 +- source/lmp/pair_deepmd.cpp | 3 +- 39 files changed, 3045 insertions(+), 2862 deletions(-) create mode 100644 examples/water/lmp/Model_1000000_with_buffer.pdiparams create mode 100644 examples/water/lmp/Model_1000000_with_buffer.pdmodel create mode 100644 examples/water/lmp/model.pb create mode 100644 source/lib/paddle_src/CMakeLists.txt rename source/lib/paddle_src/{neighbor_stat.cu => paddle_neighbor_stat.cc} (64%) create mode 100644 source/lib/paddle_src/paddle_prod_env_mat.cc rename source/lib/paddle_src/{prod_env_mat.cu => paddle_prod_env_mat.cu} (62%) create mode 100644 source/lib/paddle_src/paddle_prod_force.cc rename source/lib/paddle_src/{prod_force.cu => paddle_prod_force.cu} (65%) create mode 100644 source/lib/paddle_src/paddle_prod_force_grad.cc rename source/lib/paddle_src/{prod_force_grad.cu => paddle_prod_force_grad.cu} (59%) create mode 100644 source/lib/paddle_src/paddle_prod_virial.cc create mode 100644 source/lib/paddle_src/paddle_prod_virial.cu create mode 100644 source/lib/paddle_src/paddle_prod_virial_grad.cc create mode 100644 source/lib/paddle_src/paddle_prod_virial_grad.cu delete mode 100644 source/lib/paddle_src/prod_env_mat.cc delete mode 100644 source/lib/paddle_src/prod_env_mat.h delete mode 100644 source/lib/paddle_src/prod_virial.cc delete mode 100644 source/lib/paddle_src/prod_virial.cu delete mode 100644 source/lib/paddle_src/prod_virial.h delete mode 100644 source/lib/paddle_src/prod_virial_grad.cc delete mode 100644 source/lib/paddle_src/prod_virial_grad.cu delete mode 100644 source/lib/paddle_src/prod_virial_grad.h diff --git a/deepmd/descriptor/se_a.py b/deepmd/descriptor/se_a.py index c29b667143..d22db2d41b 100644 --- a/deepmd/descriptor/se_a.py +++ b/deepmd/descriptor/se_a.py @@ -147,6 +147,7 @@ def __init__( ) self.sel_a = sel self.rcut_r = rcut + self.register_buffer("buffer_rcut", paddle.to_tensor(rcut, dtype="float64")) self.rcut_r_smth = rcut_smth self.filter_neuron = neuron self.n_axis_neuron = axis_neuron @@ -175,10 +176,12 @@ def __init__( self.sel_a.extend(self.sel_a_spin) else: self.ntypes_spin = 0 + self.register_buffer("buffer_ntypes_spin", paddle.to_tensor(self.ntypes_spin)) # descrpt config self.sel_r = [0 for ii in range(len(self.sel_a))] self.ntypes = len(self.sel_a) + self.register_buffer("buffer_ntypes", paddle.to_tensor(self.ntypes)) assert self.ntypes == len(self.sel_r) self.rcut_a = -1 # numb of neighbors and numb of descrptors diff --git a/deepmd/entrypoints/freeze.py b/deepmd/entrypoints/freeze.py index 121b6c77a6..3582c3eb96 100755 --- a/deepmd/entrypoints/freeze.py +++ b/deepmd/entrypoints/freeze.py @@ -424,7 +424,20 @@ def freeze_graph( False, ], ) - paddle.jit.save(st_model, output) + print(f"st_model.descrpt.buffer_rcut.name = {st_model.descrpt.buffer_rcut.name}") + print( + f"st_model.descrpt.buffer_ntypes.name = {st_model.descrpt.buffer_ntypes.name}" + ) + print( + f"st_model.fitting.buffer_dfparam.name = {st_model.fitting.buffer_dfparam.name}" + ) + print( + f"st_model.fitting.buffer_daparam.name = {st_model.fitting.buffer_daparam.name}" + ) + # 跳过对program的裁剪,从而保留rcut、ntypes等不参与前向的参数,从而在C++端可以获取这些参数 + skip_prune_program = True + print(f"==>> skip_prune_program = {skip_prune_program}") + paddle.jit.save(st_model, output, skip_prune_program=skip_prune_program) print(f"Saved to path: {output}") diff --git a/deepmd/fit/ener.py b/deepmd/fit/ener.py index 036bdc54f9..a13ddec13d 100644 --- a/deepmd/fit/ener.py +++ b/deepmd/fit/ener.py @@ -140,7 +140,9 @@ def __init__( # .add("precision", str, default = "default")\ # .add("trainable", [list, bool], default = True) self.numb_fparam = numb_fparam + self.register_buffer("buffer_dfparam", paddle.to_tensor(self.numb_fparam)) self.numb_aparam = numb_aparam + self.register_buffer("buffer_daparam", paddle.to_tensor(self.numb_aparam)) self.n_neuron = neuron self.resnet_dt = resnet_dt self.rcond = rcond diff --git a/deepmd/infer/deep_eval.py b/deepmd/infer/deep_eval.py index 6d41b91506..7b0b0d5536 100644 --- a/deepmd/infer/deep_eval.py +++ b/deepmd/infer/deep_eval.py @@ -94,17 +94,23 @@ def __init__( for k, v in load_state_dict.items(): if k in self.model.state_dict(): if load_state_dict[k].dtype != self.model.state_dict()[k].dtype: - # print(f"convert dtype from {load_state_dict[k].dtype} to {self.model.state_dict()[k].dtype}") + print( + f"convert {k}'s dtype from {load_state_dict[k].dtype} to {self.model.state_dict()[k].dtype}" + ) load_state_dict[k] = load_state_dict[k].astype( self.model.state_dict()[k].dtype ) if list(load_state_dict[k].shape) != list( self.model.state_dict()[k].shape ): - # print(f"convert shape from {load_state_dict[k].shape} to {self.model.state_dict()[k].shape}") + print( + f"convert {k}'s shape from {load_state_dict[k].shape} to {self.model.state_dict()[k].shape}" + ) load_state_dict[k] = load_state_dict[k].reshape( self.model.state_dict()[k].shape ) + # print(f"==>> Load pretraied model successfully from: {str(model_file)}") + # exit() self.model.set_state_dict(load_state_dict) self.load_prefix = load_prefix diff --git a/deepmd/infer/deep_pot.py b/deepmd/infer/deep_pot.py index 909a9d23ac..b0ade1fc1a 100644 --- a/deepmd/infer/deep_pot.py +++ b/deepmd/infer/deep_pot.py @@ -636,6 +636,17 @@ def _eval_inner( eval_inputs["box"], # [45] paddle.float64 eval_inputs["default_mesh"], # [6] paddle.int32 ) + # print(eval_inputs["coord"].shape) + # print(eval_inputs["type"].shape) + # print(eval_inputs["natoms_vec"].shape) + # print(eval_inputs["box"].shape) + # print(eval_inputs["default_mesh"].shape) + # np.save("/workspace/hesensen/deepmd_backend/python_infer_data/coord.npy", eval_inputs["coord"].numpy()) + # np.save("/workspace/hesensen/deepmd_backend/python_infer_data/type.npy", eval_inputs["type"].numpy()) + # np.save("/workspace/hesensen/deepmd_backend/python_infer_data/natoms_vec.npy", eval_inputs["natoms_vec"].numpy()) + # np.save("/workspace/hesensen/deepmd_backend/python_infer_data/box.npy", eval_inputs["box"].numpy()) + # np.save("/workspace/hesensen/deepmd_backend/python_infer_data/default_mesh.npy", eval_inputs["default_mesh"].numpy()) + # exit() eval_outputs = { "atom_ener": eval_outputs[0], "atom_virial": eval_outputs[1], @@ -656,6 +667,12 @@ def _eval_inner( # "xx1": eval_outputs[9], # "hidden1": eval_outputs[10], } + + # for k, v in eval_outputs.items(): + # print(k, v.shape) + # np.save(f"/workspace/hesensen/deepmd_backend/python_infer_data/st_model_{k}.npy", v.numpy()) + # print(f"finished save {k}") + # exit() else: eval_outputs = self.model( eval_inputs["coord"], # [2880] paddle.float64 diff --git a/examples/water/lmp/Model_1000000_with_buffer.pdiparams b/examples/water/lmp/Model_1000000_with_buffer.pdiparams new file mode 100644 index 0000000000000000000000000000000000000000..3b4a25e6ba0d5e5e9872e4c692ceb0cfcb6da158 GIT binary patch literal 8244704 zcmeFY`8SsT_dRZkgrZW0BqT({lN54LAx)%G6he`y!CV>27?~oO=XsuI4!3!p=XoYW 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