def test_gather(self): shape = (10, 2, 3) ref = np.arange(np.prod(shape)).reshape(shape) ref_th = KTH.variable(ref) ref_tf = KTF.variable(ref) inds = [1, 3, 7, 9] inds_th = KTH.variable(inds, dtype='int32') inds_tf = KTF.variable(inds, dtype='int32') th_z = KTH.gather(ref_th, inds_th) th_result = KTH.eval(th_z) tf_result = KTF.eval(KTF.gather(ref_tf, inds_tf)) assert_allclose(tf_result, th_result, atol=1e-05) if hasattr(th_z, '_keras_shape'): assert th_z._keras_shape == th_result.shape # test theano shape inference when # input shape has None entries if K.backend() == 'theano': x = K.placeholder(shape=(None, 3, 4)) indices = K.placeholder(shape=(5, 6), dtype='int32') y = K.gather(x, indices) assert y._keras_shape == (5, 6, 3, 4)
def test_gather(self): shape = (10, 2, 3) ref = np.arange(np.prod(shape)).reshape(shape) ref_th = KTH.variable(ref) ref_tf = KTF.variable(ref) inds = [1, 3, 7, 9] inds_th = KTH.variable(inds, dtype='int32') inds_tf = KTF.variable(inds, dtype='int32') th_z = KTH.gather(ref_th, inds_th) th_result = KTH.eval(th_z) tf_result = KTF.eval(KTF.gather(ref_tf, inds_tf)) assert_allclose(tf_result, th_result, atol=1e-05) if hasattr(th_z, '_keras_shape'): assert th_z._keras_shape == th_result.shape # test theano shape inference when # input shape has None entries if K.backend() == 'theano': x = K.placeholder(shape=(None, 3, 4)) indices = K.placeholder(shape=(5, 6), dtype='int32') y = K.gather(x, indices) assert y._keras_shape == (5, 6, 3, 4)
def test_gather(self): shape = (10, 2, 3) ref = np.arange(np.prod(shape)).reshape(shape) ref_th = KTH.variable(ref) ref_tf = KTF.variable(ref) inds = [1, 3, 7, 9] inds_th = KTH.variable(inds, dtype='int32') inds_tf = KTF.variable(inds, dtype='int32') th_z = KTH.gather(ref_th, inds_th) th_result = KTH.eval(th_z) tf_result = KTF.eval(KTF.gather(ref_tf, inds_tf)) assert_allclose(tf_result, th_result, atol=1e-05) if hasattr(th_z, '_keras_shape'): assert th_z._keras_shape == th_result.shape