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Paddle/python/paddle/v2/fluid/tests/test_tensor_array.py

107 lines
3.2 KiB

import logging
import paddle.v2.fluid.core as core
import unittest
import numpy as np
class TestTensorArray(unittest.TestCase):
def setUp(self):
self.ta = core.TensorArray()
self.batch_size = 10
self.dim = 2
# create a LoDTensor
self.scope = core.Scope()
var = self.scope.var("test_tensor")
self.place = core.CPUPlace()
tensor = var.get_tensor()
tensor.set_dims([self.batch_size, self.dim])
tensor.alloc_float(self.place)
tensor_array = np.array(tensor)
tensor_array[0, 0] = 0
tensor_array[1, 0] = 1
tensor_array[2, 0] = 2
tensor_array[3, 0] = 3
tensor_array[4, 0] = 4
tensor_array[5, 0] = 5
tensor_array[6, 0] = 6
tensor_array[7, 0] = 7
tensor_array[8, 0] = 8
tensor_array[9, 0] = 9
lod_py = [[0, 2, 5, 10]]
lod_tensor = core.LoDTensor(lod_py)
lod_tensor.set(tensor_array, self.place)
self.py_seq_meta = [[5, 10, 2], [2, 5, 1], [0, 2, 0]]
self.tensor = lod_tensor
def test_unstack(self):
self.ta.unstack(self.tensor)
self.assertEqual(self.tensor.get_dims()[0], self.ta.size())
def test_read(self):
self.ta.unstack(self.tensor)
for i in range(self.batch_size):
tensor = self.ta.read(i)
def test_write(self):
self.ta.unstack(self.tensor)
# create a tensor with shape of [1, self.dim]
var = self.scope.var("hell")
tensor = var.get_tensor()
tensor.set_dims([1, self.dim])
tensor.alloc_float(self.place)
tensor_array = np.array(tensor)
for i in range(self.dim):
tensor_array[0, i] = i
tensor.set(tensor_array, self.place)
self.ta.write(2, tensor)
ta_tensor = self.ta.read(2)
ta_tensor_array = np.array(ta_tensor)
self.assertEqual(ta_tensor.get_dims(), [1, self.dim])
self.assertTrue((tensor_array == ta_tensor_array).all())
def test_write_shared(self):
self.ta.unstack(self.tensor)
# create a tensor with shape of [1, self.dim]
var = self.scope.var("hell")
tensor = var.get_tensor()
tensor.set_dims([1, self.dim])
tensor.alloc_float(self.place)
tensor_array = np.array(tensor)
for i in range(self.dim):
tensor_array[0, i] = i
tensor.set(tensor_array, self.place)
self.ta.write_shared(2, tensor)
ta_tensor = self.ta.read(2)
ta_tensor_array = np.array(ta_tensor)
self.assertEqual(ta_tensor.get_dims(), [1, self.dim])
self.assertTrue((tensor_array == ta_tensor_array).all())
def test_unpack(self):
meta = self.ta.unpack(self.tensor, 0, True)
self.assertEqual(self.ta.size(), 5)
self.assertEqual(meta, self.py_seq_meta)
def test_pack(self):
meta = self.ta.unpack(self.tensor, 0, True)
print "meta", meta
tensor = self.ta.pack(0, meta, self.tensor.lod())
print np.array(self.tensor)
print np.array(tensor)
self.assertTrue((np.array(self.tensor) == np.array(tensor)).all())
self.assertTrue(tensor.lod(), self.tensor.lod())
if __name__ == '__main__':
unittest.main()