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Diffstat (limited to 'runtimes/tests/neural_networks_test/specs/V1_0/reshape_weights_as_inputs.mod.py')
| -rw-r--r-- | runtimes/tests/neural_networks_test/specs/V1_0/reshape_weights_as_inputs.mod.py | 20 |
1 files changed, 20 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/reshape_weights_as_inputs.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/reshape_weights_as_inputs.mod.py new file mode 100644 index 000000000..c64ac5798 --- /dev/null +++ b/runtimes/tests/neural_networks_test/specs/V1_0/reshape_weights_as_inputs.mod.py @@ -0,0 +1,20 @@ +# model +model = Model() +i1 = Input("op1", "TENSOR_FLOAT32", "{1, 1, 3, 3}") # a line of 3 pixels, 3 components/pixel +i2 = Input("op2", "TENSOR_INT32", "{1}") # another vector of 2 float32s +i3 = Output("op3", "TENSOR_FLOAT32", "{9}") +model = model.Operation("RESHAPE", i1, i2).To(i3) + +# Example 1. Input in operand 0, +input0 = {i1: # input 0 + [1, 2, 3, + 4, 5, 6, + 7, 8, 9], + i2: # input 1 + [-1]} + +output0 = {i3: # output 0 + [1, 2, 3, 4, 5, 6, 7, 8, 9]} + +# Instantiate an example +Example((input0, output0)) |