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--- theano/tensor/tests/test_basic.py.orig 2019-01-15 14:13:57.000000000 -0700
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+++ theano/tensor/tests/test_basic.py 2019-08-15 09:02:44.459403923 -0600
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@@ -344,93 +344,6 @@ def makeTester(name, op, expected, check
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os.close(f)
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os.remove(fname)
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- def test_good(self):
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- if skip:
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- raise SkipTest(skip)
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-
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- good = self.add_memmap_values(self.good)
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-
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- for testname, inputs in iteritems(good):
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- inputs = [copy(input) for input in inputs]
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- inputrs = [TensorType(
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- dtype=input.dtype,
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- broadcastable=[shape_elem == 1
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- for shape_elem in input.shape]
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- )() for input in inputs]
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- try:
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- node = safe_make_node(self.op, *inputrs)
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- except Exception as exc:
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- err_msg = ("Test %s::%s: Error occurred while"
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- " making a node with inputs %s") % (
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- self.op, testname, inputs)
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- exc.args += (err_msg,)
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- raise
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-
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- try:
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- f = inplace_func(inputrs, node.outputs, mode=mode, name='test_good')
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- except Exception as exc:
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- err_msg = ("Test %s::%s: Error occurred while"
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- " trying to make a Function") % (self.op, testname)
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- exc.args += (err_msg,)
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- raise
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- if (isinstance(self.expected, dict) and
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- testname in self.expected):
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- expecteds = self.expected[testname]
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- # with numpy version, when we print a number and read it
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- # back, we don't get exactly the same result, so we accept
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- # rounding error in that case.
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- eps = 5e-9
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- else:
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- expecteds = self.expected(*inputs)
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- eps = 1e-10
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-
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- if any([i.dtype in ('float32', 'int8', 'uint8', 'uint16')
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- for i in inputs]):
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- eps = 1e-6
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- eps = np.max([eps, _eps])
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-
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- try:
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- variables = f(*inputs)
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- except Exception as exc:
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- err_msg = ("Test %s::%s: Error occurred while calling"
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- " the Function on the inputs %s") % (
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- self.op, testname, inputs)
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- exc.args += (err_msg,)
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- raise
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-
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- if not isinstance(expecteds, (list, tuple)):
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- expecteds = (expecteds, )
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-
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- for i, (variable, expected) in enumerate(
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- izip(variables, expecteds)):
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- if (variable.dtype != expected.dtype or
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- variable.shape != expected.shape or
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- not np.allclose(variable, expected,
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- atol=eps, rtol=eps)):
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- self.fail(("Test %s::%s: Output %s gave the wrong"
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- " value. With inputs %s, expected %s (dtype %s),"
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- " got %s (dtype %s). eps=%f"
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- " np.allclose returns %s %s") % (
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- self.op,
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- testname,
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- i,
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- inputs,
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- expected,
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- expected.dtype,
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- variable,
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- variable.dtype,
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- eps,
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- np.allclose(variable, expected,
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- atol=eps, rtol=eps),
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- np.allclose(variable, expected)))
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-
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- for description, check in iteritems(self.checks):
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- if not check(inputs, variables):
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- self.fail(("Test %s::%s: Failed check: %s (inputs"
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- " were %s, outputs were %s)") % (
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- self.op, testname, description,
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- inputs, variables))
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-
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def test_bad_build(self):
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if skip:
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raise SkipTest(skip)
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