(op, input_shape=(1, 2, 8, 5))
| 114 | ], |
| 115 | ) |
| 116 | def test_elementwise_binary(op, input_shape=(1, 2, 8, 5)): |
| 117 | remote_obj, tracker = remote() |
| 118 | |
| 119 | def create_model() -> tvm.IRModule: |
| 120 | @tvm.script.ir_module |
| 121 | class Module: |
| 122 | @R.function |
| 123 | def main( |
| 124 | i0: R.Tensor((1, 2, 8, 5), "float32"), |
| 125 | i1: R.Tensor((1, 2, 8, 5), "float32"), |
| 126 | ) -> R.Tensor((1, 2, 8, 5), "float32"): |
| 127 | with R.dataflow(): |
| 128 | t0 = op(i0, i1) |
| 129 | R.output(t0) |
| 130 | return t0 |
| 131 | |
| 132 | return Module |
| 133 | |
| 134 | mod = create_model() |
| 135 | verify( |
| 136 | remote_obj, |
| 137 | tracker, |
| 138 | mod, |
| 139 | inputs=[ |
| 140 | np.random.uniform(size=input_shape).astype("float32"), |
| 141 | np.random.uniform(size=input_shape).astype("float32"), |
| 142 | ], |
| 143 | ) |
| 144 | |
| 145 | |
| 146 | def test_divide(input_shape=(1, 2, 8, 5)): |
nothing calls this directly
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