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 test_MatMul2D (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 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)
def test_multiply(a, b):
c = dc.matmul(a, b)
import os, sys
sys.path.append(os.path.abspath('.'))
import dnnc as dc
t1 = dc.array(2, 3)
t2 = dc.array(3, 2)
mul = dc.matmul(t1, t2)
#print ("multiplication : " , mul.to_string())
add = dc.add(t1, t1)
#print ("addition : " , add.to_string())
t3 = dc.array(2, 3, 4)
#print("old shape", t1.shape())
new_shape = dc.ivec([2, 12])
t3.reshape(new_shape)
#print("new shape", t1.shape())
#t4 = dc.thresholded_relu(t1);
#print("relu", t4.to_string())
#replace first few values in tensor with new values.
data = dc.fvec([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]])
#print(arr2D)
arrRand = dc.random(2, 3)
