text: 
  
  
  
  
  from caffe2.python import core
  import caffe2.python.hypothesis_test_util as hu
  import caffe2.python.serialized_test.serialized_test_util as serial
  import hypothesis.strategies as st
  import numpy as np
  
  
  class TestElementwiseLinearOp(serial.SerializedTestCase):
  
      @serial.given(n=st.integers(2, 100), d=st.integers(2, 10), **hu.gcs)
      # @given(n=st.integers(2, 50), d=st.integers(2, 50), **hu.gcs_cpu_only)
      def test(self, n, d, gc, dc):
          X = np.random.rand(n, d).astype(np.float32)
          a = np.random.rand(d).astype(np.float32)
          b = np.random.rand(d).astype(np.float32)
  
          def ref_op(X, a, b):
              d = a.shape[0]
              return [np.multiply(X, a.reshape(1, d)) + b.reshape(1, d)]
  
          op = core.CreateOperator(
              "ElementwiseLinear",
              ["X", "a", "b"],
              ["Y"]
          )
  
          self.assertReferenceChecks(
              device_option=gc,
              op=op,
              inputs=[X, a, b],
              reference=ref_op,
          )
  
          # Check over multiple devices
          self.assertDeviceChecks(dc, op, [X, a, b], [0])
          # Gradient check wrt X
          self.assertGradientChecks(gc, op, [X, a, b], 0, [0])
          # Gradient check wrt a
          self.assertGradientChecks(gc, op, [X, a, b], 1, [0])
          # # Gradient check wrt b
          self.assertGradientChecks(gc, op, [X, a, b], 2, [0])
  