message: Use batch size arg in training
diff: @@ -470,20 +470,20 @@ SUITES:
  # passing versions will pass; and non-memory errors will still error
  expected: "CL_MEM_OBJECT_ALLOCATION_FAILURE"
  precision: low
  - args: [plaidbench.py, inception_v3, --train, --print-stacktraces]
  + args: [plaidbench.py, inception_v3, --train, --print-stacktraces, --batch-size, '{batch_size}']
  resnet50_train:
  precision: low
  - args: [plaidbench.py, resnet50, --train, --print-stacktraces]
  + args: [plaidbench.py, resnet50, --train, --print-stacktraces, --batch-size, '{batch_size}']
  vgg19_train:
  precision: low
  - args: [plaidbench.py, vgg19, --train, --print-stacktraces]
  + args: [plaidbench.py, vgg19, --train, --print-stacktraces, --batch-size, '{batch_size}']
  xception_train:
  precision: low
  - args: [plaidbench.py, xception, --train, --print-stacktraces]
  + args: [plaidbench.py, xception, --train, --print-stacktraces, --batch-size, '{batch_size}']
  skip_platforms: keras-plaid-ocl-gp100gl
  mobilenet_train:
  precision: low
  - args: [plaidbench.py, mobilenet, --train, --print-stacktraces]
  + args: [plaidbench.py, mobilenet, --train, --print-stacktraces, --batch-size, '{batch_size}']
  comprehensive:
  platforms:
  