Esempio n. 1
0
def test_op_plus_var_sequences_input_input(left_batch, right_batch, device_id,
                                           precision):
    from .. import plus, sequence

    assert len(left_batch) == len(right_batch)
    expected_forward = [
        AA(left_batch[i]) + AA(right_batch[i]) for i in range(len(left_batch))
    ]

    expected_backward = {
        'left': _ones_like(left_batch, PRECISION_TO_TYPE[precision]),
        'right': _ones_like(right_batch, PRECISION_TO_TYPE[precision])
    }

    left_value = [
        AA(sample, dtype=PRECISION_TO_TYPE[precision]) for sample in left_batch
    ]
    left_shape = left_value[0][0].shape
    right_value = [
        AA(sample, dtype=PRECISION_TO_TYPE[precision])
        for sample in right_batch
    ]
    right_shape = right_value[0][0].shape

    a = sequence.input_variable(shape=left_shape,
                                dtype=sanitize_dtype_cntk(
                                    PRECISION_TO_TYPE[precision]),
                                needs_gradient=True,
                                name='a')

    b = sequence.input_variable(shape=right_shape,
                                dtype=sanitize_dtype_cntk(
                                    PRECISION_TO_TYPE[precision]),
                                needs_gradient=True,
                                name='b')

    input_op_input = plus(a, b)
    forward_input = {a: left_value, b: right_value}
    backward_input = {a: None, b: None}
    expected_backward = {
        a: expected_backward['left'],
        b: expected_backward['right'],
    }
    unittest_helper(input_op_input, forward_input, expected_forward,
                    expected_backward, device_id, precision)
Esempio n. 2
0
def test_op_plus_var_sequences_input_input(left_batch, right_batch, device_id, precision):
    from .. import plus, sequence

    assert len(left_batch) == len(right_batch)
    expected_forward = [AA(left_batch[i]) + AA(right_batch[i])
                        for i in range(len(left_batch))]

    expected_backward = {
        'left': _ones_like(left_batch, PRECISION_TO_TYPE[precision]),
        'right': _ones_like(right_batch, PRECISION_TO_TYPE[precision])
    }

    left_value = [AA(sample, dtype=PRECISION_TO_TYPE[precision])
                  for sample in left_batch]
    left_shape = left_value[0][0].shape
    right_value = [AA(sample, dtype=PRECISION_TO_TYPE[precision])
                   for sample in right_batch]
    right_shape = right_value[0][0].shape

    a = sequence.input_variable(shape=left_shape,
                       dtype=sanitize_dtype_cntk(PRECISION_TO_TYPE[precision]),
                       needs_gradient=True,
                       name='a')

    b = sequence.input_variable(shape=right_shape,
                       dtype=sanitize_dtype_cntk(PRECISION_TO_TYPE[precision]),
                       needs_gradient=True,
                       name='b')

    input_op_input = plus(a, b)
    forward_input = {a: left_value, b: right_value}
    backward_input = {a: None, b: None}
    expected_backward = {
            a: expected_backward['left'], 
            b: expected_backward['right'], }
    unittest_helper(input_op_input,
                    forward_input, expected_forward,
                    expected_backward,
                    device_id, precision)