def testMatMul1D(self):
npr = np.matmul(self.np_a, self.np_b)
dcr = dc.matmul(self.dc_a, self.dc_b)
np.testing.assert_allclose(npr,
np.array(dcr.data()[0]).astype(np.float32),
rtol=1e-3,
atol=1e-3)
def testMatMul2D(self):
np_a = np.reshape(self.np_a, (3, 4))
np_b = np.reshape(self.np_b, (4, 3))
dc_a = dc.reshape(self.dc_a, (3, 4))
dc_b = dc.reshape(self.dc_b, (4, 3))
npr = np.matmul(np_a, np_b)
dcr = dc.matmul(dc_a, dc_b)
np.testing.assert_allclose(npr.flatten(),
np.array(dcr.data()).astype(np.float32),
rtol=1e-3,
atol=1e-3)
def test_multiply(a, b):
c = dc.matmul(a, b)
def test_non_binary():
t1 = dc.array(2, 3)
t2 = dc.array(3, 2)
mul = dc.matmul(t1, t2)
#print ("multiplication : " , mul.to_string())
t3 = dc.array(2, 3, 4)
#print("old shape", t1.shape())
new_shape = dc.vectorSizeT([2, 12])
t3.reshape(new_shape)
t3.reshape(4, 6)
t3.reshape((4, 6))
t3.reshape([4, 6])
#print("new shape", t1.shape())
py_list = list(t3)
# convert tensor to python list
py_tuple = tuple(t3)
# convert tensor to python tuple
np_ary = t3.numpy()
# convert to numpy array
#t4 = dc.thresholded_relu(t1);
#print("relu", t4.to_string())
#replace first few values in tensor with new values.
data = dc.vectorFloat([1.0, 2.0, 3.0, 4.0])
t3.load(data)
#print(t3.to_string())
arr = dc.array([1, 2])
#print(arr)
arr2D = dc.array([[1, 2], [10, 20]]).asTypeInt()
#print(arr2D)
arrRand = dc.random(2, 3)
#print(arrRand)
empty = dc.empty(3, 2)
#print(empty)
zeros = dc.zeros(2, 2)
#print(zeros);
ones = dc.ones(2, 2)
#print(ones)
ranges = dc.arange(15, 3, 2)
#print(ranges)
dc.reshape(arr2D, (1, 4))
#3D MatMul Test1
a = dc.array(2, 2, 2)
b = dc.array(2, 2, 2)
adata = dc.vectorFloat([1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0])
bdata = dc.vectorFloat([8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0])
a.load(adata)
b.load(bdata)
test_multiply(a, b)
#3D MatMul Test2
a = dc.array(2, 2, 3)
b = dc.array(2, 3, 2)
adata = dc.vectorFloat(
[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0])
bdata = dc.vectorFloat(
[12.0, 11.0, 10.0, 9.0, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0])
a.load(adata)
b.load(bdata)
test_multiply(a, b)
def MatMul3D (self):
dc_a = dc.reshape(self.dc_a, (self.N, self.N))
dc_b = dc.reshape(self.dc_b, (self.N, self.N))
dcr = dc.matmul(dc_a, dc_b);