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[Frontend][MXNet] add _npi_subtract_scalar #7191

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merged 2 commits into from Jan 3, 2021
Merged

[Frontend][MXNet] add _npi_subtract_scalar #7191

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426e048
[Frontend][MXNet] add _npi_subtract_scalar
insop Jan 3, 2021
f186ac2
Fix python style using black
insop Jan 3, 2021
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2 changes: 1 addition & 1 deletion 3rdparty/vta-hw
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Submodule vta-hw updated from 57db5a to 87ce9a
2 changes: 2 additions & 0 deletions python/tvm/relay/frontend/mxnet.py
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Expand Up @@ -2693,6 +2693,8 @@ def _mx_npi_where_rscalar(inputs, attrs):
"_npi_multiply_scalar": _binop_scalar(_op.multiply),
"_npi_add": _rename(_op.add),
"_npi_add_scalar": _binop_scalar(_op.add),
"_npi_subtract": _rename(_op.subtract),
"_npi_subtract_scalar": _binop_scalar(_op.subtract),
"_npi_where_rscalar": _mx_npi_where_rscalar,
"_npi_less": _rename(_op.less),
"_npi_less_equal": _mx_compare(_op.less_equal, _rename),
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20 changes: 16 additions & 4 deletions tests/python/frontend/mxnet/test_forward.py
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Expand Up @@ -2062,8 +2062,14 @@ def test_forward_npx_reshape(data_shape, out_shape, dtype, target, reverse, ctx,
@tvm.testing.parametrize_targets
@pytest.mark.parametrize("kind", ["graph", "vm", "debug"])
def test_forward_npi_binary(data_shape, dtype, target, ctx, kind):
ref_ops = [mx.np.power, mx.np.multiply, mx.np.add, mx.np.less]
mx_ops = [mx.sym.np.power, mx.sym.np.multiply, mx.sym.np.add, mx.sym.np.less]
ref_ops = [mx.np.power, mx.np.multiply, mx.np.add, mx.np.subtract, mx.np.less]
mx_ops = [
mx.sym.np.power,
mx.sym.np.multiply,
mx.sym.np.add,
mx.sym.np.subtract,
mx.sym.np.less,
]
for i in range(len(ref_ops)):
ref_op = ref_ops[i]
mx_op = mx_ops[i]
Expand Down Expand Up @@ -2092,8 +2098,14 @@ def test_forward_npi_binary(data_shape, dtype, target, ctx, kind):
@pytest.mark.parametrize("scalar", [1.0, 2.0, 3.0, 4.0])
@pytest.mark.parametrize("kind", ["graph", "vm", "debug"])
def test_forward_npi_binary_scalar(data_shape, dtype, scalar, target, ctx, kind):
ref_ops = [mx.np.power, mx.np.multiply, mx.np.add, mx.np.true_divide]
mx_ops = [mx.sym.np.power, mx.sym.np.multiply, mx.sym.np.add, mx.sym.np.true_divide]
ref_ops = [mx.np.power, mx.np.multiply, mx.np.add, mx.np.subtract, mx.np.true_divide]
mx_ops = [
mx.sym.np.power,
mx.sym.np.multiply,
mx.sym.np.add,
mx.sym.np.subtract,
mx.sym.np.true_divide,
]
for i in range(len(ref_ops)):
ref_op = ref_ops[i]
mx_op = mx_ops[i]
Expand Down