def test_lstm_cell_operator(dtype):
batch_size = 1
input_size = 16
hidden_size = 128
X_shape = [batch_size, input_size]
H_t_shape = [batch_size, hidden_size]
C_t_shape = [batch_size, hidden_size]
W_shape = [4 * hidden_size, input_size]
R_shape = [4 * hidden_size, hidden_size]
B_shape = [4 * hidden_size]
parameter_X = ng.parameter(X_shape, name="X", dtype=dtype)
parameter_H_t = ng.parameter(H_t_shape, name="H_t", dtype=dtype)
parameter_C_t = ng.parameter(C_t_shape, name="C_t", dtype=dtype)
parameter_W = ng.parameter(W_shape, name="W", dtype=dtype)
parameter_R = ng.parameter(R_shape, name="R", dtype=dtype)
parameter_B = ng.parameter(B_shape, name="B", dtype=dtype)
expected_shape = [1, 128]
node_default = ng.lstm_cell(
parameter_X,
parameter_H_t,
parameter_C_t,
parameter_W,
parameter_R,
parameter_B,
hidden_size,
)
assert node_default.get_type_name() == "LSTMCell"
assert node_default.get_output_size() == 2
assert list(node_default.get_output_shape(0)) == expected_shape
assert list(node_default.get_output_shape(1)) == expected_shape
activations = ["tanh", "Sigmoid", "RELU"]
activation_alpha = [1.0, 2.0, 3.0]
activation_beta = [3.0, 2.0, 1.0]
clip = 0.5
node_param = ng.lstm_cell(
parameter_X,
parameter_H_t,
parameter_C_t,
parameter_W,
parameter_R,
parameter_B,
hidden_size,
activations,
activation_alpha,
activation_beta,
clip,
)
assert node_param.get_type_name() == "LSTMCell"
assert node_param.get_output_size() == 2
assert list(node_param.get_output_shape(0)) == expected_shape
assert list(node_param.get_output_shape(1)) == expected_shape
def test_lstm_cell_operator(dtype):
batch_size = 1
input_size = 16
hidden_size = 128
X_shape = [batch_size, input_size]
H_t_shape = [batch_size, hidden_size]
C_t_shape = [batch_size, hidden_size]
W_shape = [4 * hidden_size, input_size]
R_shape = [4 * hidden_size, hidden_size]
B_shape = [4 * hidden_size]
parameter_X = ng.parameter(X_shape, name='X', dtype=dtype)
parameter_H_t = ng.parameter(H_t_shape, name='H_t', dtype=dtype)
parameter_C_t = ng.parameter(C_t_shape, name='C_t', dtype=dtype)
parameter_W = ng.parameter(W_shape, name='W', dtype=dtype)
parameter_R = ng.parameter(R_shape, name='R', dtype=dtype)
parameter_B = ng.parameter(B_shape, name='B', dtype=dtype)
expected_shape = [1, 128]
node_default = ng.lstm_cell(parameter_X, parameter_H_t, parameter_C_t,
parameter_W, parameter_R, parameter_B,
hidden_size)
assert node_default.get_type_name() == 'LSTMCell'
assert node_default.get_output_size() == 2
assert list(node_default.get_output_shape(0)) == expected_shape
assert list(node_default.get_output_shape(1)) == expected_shape
activations = ['tanh', 'Sigmoid', 'RELU']
activation_alpha = [1.0, 2.0, 3.0]
activation_beta = [3.0, 2.0, 1.0]
clip = 0.5
node_param = ng.lstm_cell(parameter_X, parameter_H_t, parameter_C_t,
parameter_W, parameter_R, parameter_B,
hidden_size, activations, activation_alpha,
activation_beta, clip)
assert node_param.get_type_name() == 'LSTMCell'
assert node_param.get_output_size() == 2
assert list(node_param.get_output_shape(0)) == expected_shape
assert list(node_param.get_output_shape(1)) == expected_shape