def testArgSpec(self):
X = jnp.arange(5)
X_BCOO = BCOO.fromdense(X)
args = (X, X_BCOO, X_BCOO)
# Independent index
spenv = SparseEnv()
argspecs = arrays_to_argspecs(spenv, args)
self.assertEqual(len(argspecs), len(args))
self.assertEqual(spenv.size(), 5)
self.assertEqual(argspecs, (ArgSpec(
X.shape, 0, None), ArgSpec(X.shape, 1, 2), ArgSpec(X.shape, 3, 4)))
args_out = argspecs_to_arrays(spenv, argspecs)
self.assertEqual(len(args_out), len(args))
self.assertArraysEqual(args[0], args_out[0])
self.assertBcooIdentical(args[1], args_out[1])
self.assertBcooIdentical(args[2], args_out[2])
# Shared index
argspecs = (ArgSpec(X.shape, 0,
None), ArgSpec(X.shape, 1,
2), ArgSpec(X.shape, 3, 2))
spenv = SparseEnv([X, X_BCOO.data, X_BCOO.indices, X_BCOO.data])
args_out = argspecs_to_arrays(spenv, argspecs)
self.assertEqual(len(args_out), len(args))
self.assertArraysEqual(args[0], args_out[0])
self.assertBcooIdentical(args[1], args_out[1])
self.assertBcooIdentical(args[2], args_out[2])
def testSparseMul(self):
x = BCOO.fromdense(jnp.arange(5))
y = BCOO.fromdense(2 * jnp.arange(5))
# Scalar multiplication
out = self.sparsify(operator.mul)(x, 2.5)
self.assertArraysEqual(out.todense(), x.todense() * 2.5)
# Shared indices – requires lower level call
argspecs = [ArgSpec(x.shape, 1, 0), ArgSpec(y.shape, 2, 0)]
spenv = SparseEnv([x.indices, x.data, y.data])
result = sparsify_raw(operator.mul)(spenv, *argspecs)
args_out, _ = result
out, = argspecs_to_arrays(spenv, args_out)
self.assertAllClose(out.todense(), x.todense() * y.todense())
def testSparseSubtract(self):
x = BCOO.fromdense(3 * jnp.arange(5))
y = BCOO.fromdense(jnp.arange(5))
# Distinct indices
out = self.sparsify(operator.sub)(x, y)
self.assertEqual(out.nse, 8) # uses concatenation.
self.assertArraysEqual(out.todense(), 2 * jnp.arange(5))
# Shared indices – requires lower level call
argspecs = [ArgSpec(x.shape, 1, 0), ArgSpec(y.shape, 2, 0)]
spenv = SparseEnv([x.indices, x.data, y.data])
result = sparsify_raw(operator.sub)(spenv, *argspecs)
args_out, _ = result
out, = argspecs_to_arrays(spenv, args_out)
self.assertAllClose(out.todense(), x.todense() - y.todense())
