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import tvm
import numpy as np
from tvm import relay
from tvm.relay.frontend.common import infer_type
from tvm.relay import op as _op


def test_const_dtype():
    strides = (1, 1)
    np_array = np.array(strides).astype("int32")
    strides = _op.const(np_array, dtype="int64")

    # strides needs to be autoconverted to int64 on Windows
    assert infer_type(strides).checked_type.dtype == np.dtype(np.int64)

    a = tvm.nd.array(np.random.randint(0, high=255, size=(2, 3), dtype="uint8"))
    a = _op.const(a, dtype="uint8")
    aa = a.data.numpy()
    assert aa.dtype == np.dtype(np.uint8)

    b = _op.const(1, dtype="int8")
    bb = b.data.numpy()
    assert bb.dtype == np.dtype(np.int8)

    kshape = (3, 10, 3, 3)
    w = relay.const(np.zeros(kshape, dtype="float32"))
    assert w.data.numpy().dtype == np.dtype(np.float32)