Created by: Aurelius84

fluid.layers.fc:

• Add input type check, error info as follows:

import paddle.fluid as fluid
from paddle.fluid import Program, program_guard
with program_guard(Program(), Program()):
    input_data = np.random.random((2, 4)).astype("float32")
    fluid.layers.fc(input=input_data, size=1)

TypeError: The type of 'input' in fc must be Variable, but received <type 'numpy.ndarray'>

• if input is list, error info as follows:

import paddle.fluid as fluid
from paddle.fluid import Program, program_guard
with program_guard(Program(), Program()):
    input_data = np.random.random((2, 4)).astype("float32")
    fluid.layers.fc(input=[input_data], size=1)

TypeError: The type of input[0] in fc must be Variable, but received <type 'numpy.ndarray'>

• Add data type check, error info as follows:

import paddle.fluid as fluid
from paddle.fluid import Program, program_guard
with program_guard(Program(), Program()):
    x = fluid.data(name='x', shape=[3,4],dtype='int32')
    fluid.layers.fc(input=x, size=1)

TypeError: The data type of 'input' in fc must be float32 or float64, but received int32.

sum OP：Enhance error message in InferShape of SumOp

• should have same shape

import paddle.fluid as fluid
import paddle.fluid.layers as layers
import numpy as np
input0 = layers.data(name="input0", shape=[-1,13], dtype='float32')
input1 = layers.data(name="input1", shape=[-1,13], dtype='float32')
out = layers.sum([input0, input1])
place = fluid.CPUPlace()
exe = fluid.Executor(place)
exe.run(fluid.default_startup_program())
input0_data = np.random.random([6, 13]).astype("float64")
input1_data = np.random.random([2, 13]).astype("float64")
ret = exe.run(
    feed={
        'input0': input0_data,
        'input1': input1_data
    },
    fetch_list=[out],
    return_numpy=False)

before: PaddleCheckError: Expected in_dim == x_dim, but received in_dim:6, 13 != x_dim:2, 13. after: ShapeError: The input tensor X of SumOp must have same shape.But received X[0]'s shape = [6, 13], X[1]'s shape = [2, 13].

• should have same dimensions

ShapeError: The input tensor X of SumOp must have same shape.But received X[0]'s shape = [6, 13], X[1]'s shape = [2, 13]

before: PaddleCheckError: Expected in_dim[j] == x_dim[j], but received in_dim[j]:12 != x_dim[j]:13 after: ShapeError: The input tensor X of SumOp must have same shape if not -1.But received X[0]'s shape = [-1, 12], X[1]'s shape = [-1, 13].

ShapeError: The input tensor X of SumOp must have same shape.But received X[0]'s shape = [6, 13], X[1]'s shape = [2, 13]

before: PaddleCheckError: Expected in_dim.size() == x_dim.size(), but received in_dim.size():3 != x_dim.size():2 after: ShapeError: The input tensor X of SumOp must have same dimensions. But received X[0]'s dimensions = 3, X[0]'s shape = [-1, 12, 13], X[1]'s dimensions = 2, X[1]'s shape = [-1, 13]