specify full pytorch version for conda nightly builds.

Summary: Now pytorch 1.5.1 is released, pytorch 1.5 is ambiguous and causes problems. Now have specific builds for pytorch 1.5.0 and 1.5.1. Here we only change the conda builds.

Reviewed By: gkioxari

Differential Revision: D22196016

fbshipit-source-id: 478327e870f538f54d3480d5a268a1ece5c5c680

.circleci/config.in.yml

@@ -212,9 +212,9 @@ workflows:
           pytorch_version: "1.4"
           cu_version: "cu100"
       - binary_linux_conda_cuda:
-          name: testrun_conda_cuda_py37_cu102_pyt15
+          name: testrun_conda_cuda_py37_cu102_pyt151
           python_version: "3.7"
-          pytorch_version: "1.5"
+          pytorch_version: "1.5.1"
           cu_version: "cu102"
       - binary_macos_wheel:
           cu_version: cpu

.circleci/config.yml

@@ -222,19 +222,34 @@ workflows:
           pytorch_version: '1.4'
       - binary_linux_conda:
           cu_version: cu92
-          name: linux_conda_py36_cu92_pyt15
+          name: linux_conda_py36_cu92_pyt150
           python_version: '3.6'
-          pytorch_version: '1.5'
+          pytorch_version: 1.5.0
       - binary_linux_conda:
           cu_version: cu101
-          name: linux_conda_py36_cu101_pyt15
+          name: linux_conda_py36_cu101_pyt150
           python_version: '3.6'
-          pytorch_version: '1.5'
+          pytorch_version: 1.5.0
       - binary_linux_conda:
           cu_version: cu102
-          name: linux_conda_py36_cu102_pyt15
+          name: linux_conda_py36_cu102_pyt150
           python_version: '3.6'
-          pytorch_version: '1.5'
+          pytorch_version: 1.5.0
+      - binary_linux_conda:
+          cu_version: cu92
+          name: linux_conda_py36_cu92_pyt151
+          python_version: '3.6'
+          pytorch_version: 1.5.1
+      - binary_linux_conda:
+          cu_version: cu101
+          name: linux_conda_py36_cu101_pyt151
+          python_version: '3.6'
+          pytorch_version: 1.5.1
+      - binary_linux_conda:
+          cu_version: cu102
+          name: linux_conda_py36_cu102_pyt151
+          python_version: '3.6'
+          pytorch_version: 1.5.1
       - binary_linux_conda:
           cu_version: cu92
           name: linux_conda_py37_cu92_pyt14
@@ -252,19 +267,34 @@ workflows:
           pytorch_version: '1.4'
       - binary_linux_conda:
           cu_version: cu92
-          name: linux_conda_py37_cu92_pyt15
+          name: linux_conda_py37_cu92_pyt150
           python_version: '3.7'
-          pytorch_version: '1.5'
+          pytorch_version: 1.5.0
       - binary_linux_conda:
           cu_version: cu101
-          name: linux_conda_py37_cu101_pyt15
+          name: linux_conda_py37_cu101_pyt150
           python_version: '3.7'
-          pytorch_version: '1.5'
+          pytorch_version: 1.5.0
       - binary_linux_conda:
           cu_version: cu102
-          name: linux_conda_py37_cu102_pyt15
+          name: linux_conda_py37_cu102_pyt150
           python_version: '3.7'
-          pytorch_version: '1.5'
+          pytorch_version: 1.5.0
+      - binary_linux_conda:
+          cu_version: cu92
+          name: linux_conda_py37_cu92_pyt151
+          python_version: '3.7'
+          pytorch_version: 1.5.1
+      - binary_linux_conda:
+          cu_version: cu101
+          name: linux_conda_py37_cu101_pyt151
+          python_version: '3.7'
+          pytorch_version: 1.5.1
+      - binary_linux_conda:
+          cu_version: cu102
+          name: linux_conda_py37_cu102_pyt151
+          python_version: '3.7'
+          pytorch_version: 1.5.1
       - binary_linux_conda:
           cu_version: cu92
           name: linux_conda_py38_cu92_pyt14
@@ -282,19 +312,34 @@ workflows:
           pytorch_version: '1.4'
       - binary_linux_conda:
           cu_version: cu92
-          name: linux_conda_py38_cu92_pyt15
+          name: linux_conda_py38_cu92_pyt150
           python_version: '3.8'
-          pytorch_version: '1.5'
+          pytorch_version: 1.5.0
       - binary_linux_conda:
           cu_version: cu101
-          name: linux_conda_py38_cu101_pyt15
+          name: linux_conda_py38_cu101_pyt150
           python_version: '3.8'
-          pytorch_version: '1.5'
+          pytorch_version: 1.5.0
       - binary_linux_conda:
           cu_version: cu102
-          name: linux_conda_py38_cu102_pyt15
+          name: linux_conda_py38_cu102_pyt150
           python_version: '3.8'
-          pytorch_version: '1.5'
+          pytorch_version: 1.5.0
+      - binary_linux_conda:
+          cu_version: cu92
+          name: linux_conda_py38_cu92_pyt151
+          python_version: '3.8'
+          pytorch_version: 1.5.1
+      - binary_linux_conda:
+          cu_version: cu101
+          name: linux_conda_py38_cu101_pyt151
+          python_version: '3.8'
+          pytorch_version: 1.5.1
+      - binary_linux_conda:
+          cu_version: cu102
+          name: linux_conda_py38_cu102_pyt151
+          python_version: '3.8'
+          pytorch_version: 1.5.1
       - binary_linux_wheel:
           cu_version: cpu
           name: linux_wheel_py36_cpu_pyt15
@@ -316,9 +361,9 @@ workflows:
           pytorch_version: "1.4"
           cu_version: "cu100"
       - binary_linux_conda_cuda:
-          name: testrun_conda_cuda_py37_cu102_pyt15
+          name: testrun_conda_cuda_py37_cu102_pyt151
           python_version: "3.7"
-          pytorch_version: "1.5"
+          pytorch_version: "1.5.1"
           cu_version: "cu102"
       - binary_macos_wheel:
           cu_version: cpu

.circleci/regenerate.py

@@ -15,7 +15,8 @@ import yaml
 # version of pytorch.
 CONDA_CUDA_VERSIONS = {
     "1.4": ["cu92", "cu100", "cu101"],
-    "1.5": ["cu92", "cu101", "cu102"],
+    "1.5.0": ["cu92", "cu101", "cu102"],
+    "1.5.1": ["cu92", "cu101", "cu102"],
 }
 
 
@@ -23,7 +24,7 @@ def workflows(prefix="", filter_branch=None, upload=False, indentation=6):
     w = []
     for btype in ["conda"]:
         for python_version in ["3.6", "3.7", "3.8"]:
-            for pytorch_version in ["1.4", "1.5"]:
+            for pytorch_version in ["1.4", "1.5.0", "1.5.1"]:
                 for cu_version in CONDA_CUDA_VERSIONS[pytorch_version]:
                     w += workflow_pair(
                         btype=btype,