[TF:XLA] Update an error message to include the word "uninitialized" because many tests
depend on that word being in the error message. Additional update tests that search for an outdated error message to just search for "uninitialized". PiperOrigin-RevId: 315608436 Change-Id: If696f9545f4a55d5268f842d856273781afaffe4
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@ -486,7 +486,7 @@ class SliceAssignTest(xla_test.XLATestCase):
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def testUninitialized(self):
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with self.assertRaisesRegexp(errors.FailedPreconditionError,
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"Read variable failure"):
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"uninitialized"):
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with self.session() as sess, self.test_scope():
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v = resource_variable_ops.ResourceVariable([1, 2])
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sess.run(v[:].assign([1, 2]))
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@ -415,7 +415,7 @@ Status ReadVariableInputTensor(const Tensor& tensor, DataType type,
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if (!variable->initialized()) {
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return errors::FailedPrecondition(
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"Read variable failure ", variable->name(),
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". It could mean the variable is not initialized or the variable is on "
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". It could mean the variable is uninitialized or the variable is on "
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"another device ");
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}
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if (variable->type() != type) {
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@ -468,7 +468,7 @@ Status XlaOpKernelContext::GetVariableTypeAndShape(int index, DataType* type,
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if (!variable->initialized()) {
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return errors::InvalidArgument(
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"Read variable failure ", variable->name(),
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". It could mean the variable is not initialized or the variable is on "
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". It could mean the variable is uninitialized or the variable is on "
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"another device ");
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}
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*type = variable->type();
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@ -1072,8 +1072,7 @@ class ResourceVariableOpsTest(test_util.TensorFlowTestCase,
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dtype=v.dtype.base_dtype, shape=v.get_shape(), shared_name="var5",
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container=ops.get_default_graph()._container)
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with self.assertRaisesOpError(
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"(Resource .*/var5/.* does not exist|Read of uninitialized variable)"
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):
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"(Resource .*/var5/.* does not exist|uninitialized)"):
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resource_variable_ops.read_variable_op(x, v.dtype.base_dtype).eval()
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@test_util.run_deprecated_v1
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