fix the problem when installing miniconda (#184)

* fix the problem when installing miniconda * debug 0D case * update inference to debug
deepmodeling · Jan 8, 2023 · 54210a0 · 54210a0
1 parent 1be941d
commit 54210a0
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diff --git a/.github/workflows/CPU_inferencce_validation.yml b/.github/workflows/CPU_inferencce_validation.yml
@@ -30,7 +30,7 @@ jobs:
         cd deepflame-dev   
         wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
         wget https://mirrors.edge.kernel.org/ubuntu/pool/main/libf/libffi/libffi7_3.3-4_amd64.deb
-        sh Miniconda3-latest-Linux-x86_64.sh -b
+        bash Miniconda3-latest-Linux-x86_64.sh -b
         . ~/miniconda3/etc/profile.d/conda.sh
         conda create -n libcantera python=3.8
         conda activate libcantera
@@ -47,8 +47,10 @@ jobs:
         OMPI_ALLOW_RUN_AS_ROOT_CONFIRM: 1 
         OMPI_MCA_btl_vader_single_copy_mechanism: none
        run: 
-        /bin/bash -c "git clone https://github.com/deepcombustion/deepcombustion.git && cp -r deepcombustion/DeePCK/Model/HE04_Hydrogen_ESH2_GMS_sub_20221101/ mechanisms/ && source ~/miniconda3/etc/profile.d/conda.sh && conda activate libcantera && source /opt/openfoam7/etc/bashrc && . configure.sh --use_pytorch && source ./bashrc && . install.sh && cd test && ./Allrun && conda deactivate "
-
+        /bin/bash -c "git clone https://github.com/deepcombustion/deepcombustion.git && cp -r deepcombustion/DeePCK/Model/HE04_Hydrogen_ESH2_GMS_sub_20221101/ mechanisms/ && source ~/miniconda3/etc/profile.d/conda.sh && conda activate libcantera && source /opt/openfoam7/etc/bashrc 
+        && . configure.sh --use_pytorch && source ./bashrc && . install.sh 
+        && cd test && ./Allrun && conda deactivate "
+
      - name: test 
        run: | 
          cd test

diff --git a/examples/df0DFoam/zeroD_cubicReactor/H2/pytorchIntegrator/inference.py b/examples/df0DFoam/zeroD_cubicReactor/H2/pytorchIntegrator/inference.py
@@ -11,7 +11,6 @@
 import os
 
 
-
 torch.set_printoptions(precision=10)
 
 
@@ -196,7 +195,7 @@ def inference(vec0, vec1, vec2):
             output0_normalized = model0(input0_normalized)
             output1_normalized = model1(input1_normalized)
             output2_normalized = model2(input2_normalized)
-                                       
+
             # post_processing
             output0_bct = (output0_normalized * Ystd0 + Ymu0) * delta_t + input0_bct
             output0_Y = (lamda * output0_bct[:, 2:] + 1)**(1 / lamda)