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https://github.com/zama-ai/concrete.git
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4e40982f5a
- this allows to be compatible with the current compiler and squash float domains into a single int to int ArbitraryFunction
108 lines
3.0 KiB
Python
108 lines
3.0 KiB
Python
"""Test file for float subgraph fusing"""
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from inspect import signature
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import numpy
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import pytest
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from hdk.common.data_types.integers import Integer
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from hdk.common.data_types.values import EncryptedValue
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from hdk.common.optimization.topological import fuse_float_operations
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from hdk.hnumpy.tracing import trace_numpy_function
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def no_fuse(x):
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"""No fuse"""
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return x + 2
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def no_fuse_unhandled(x, y):
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"""No fuse unhandled"""
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x_1 = x + 0.7
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y_1 = y + 1.3
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intermediate = x_1 + y_1
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return intermediate.astype(numpy.int32)
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def simple_fuse_not_output(x):
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"""Simple fuse not output"""
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intermediate = x.astype(numpy.float64)
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intermediate = intermediate.astype(numpy.int32)
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return intermediate + 2
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def simple_fuse_output(x):
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"""Simple fuse output"""
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return x.astype(numpy.float64).astype(numpy.int32)
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def complex_fuse_indirect_input(x, y):
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"""Complex fuse"""
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intermediate = x + y
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intermediate = intermediate + 2
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intermediate = intermediate.astype(numpy.float32)
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intermediate = intermediate.astype(numpy.int32)
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x_p_1 = intermediate + 1.5
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x_p_2 = intermediate + 2.7
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x_p_3 = numpy.rint(x_p_1 + x_p_2)
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return (
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x_p_3.astype(numpy.int32),
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x_p_2.astype(numpy.int32),
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(x_p_2 + 3).astype(numpy.int32),
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x_p_3.astype(numpy.int32) + 67,
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y,
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(y + 4.7).astype(numpy.int32) + 3,
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)
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def complex_fuse_direct_input(x, y):
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"""Complex fuse"""
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x_p_1 = x + 1.5
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x_p_2 = x + 2.7
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x_p_3 = numpy.rint(x_p_1 + x_p_2)
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return (
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x_p_3.astype(numpy.int32),
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x_p_2.astype(numpy.int32),
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(x_p_2 + 3).astype(numpy.int32),
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x_p_3.astype(numpy.int32) + 67,
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y,
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(y + 4.7).astype(numpy.int32) + 3,
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)
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@pytest.mark.parametrize(
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"function_to_trace,fused",
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[
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pytest.param(no_fuse, False, id="no_fuse"),
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pytest.param(no_fuse_unhandled, False, id="no_fuse_unhandled"),
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pytest.param(simple_fuse_not_output, True, id="no_fuse"),
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pytest.param(simple_fuse_output, True, id="no_fuse"),
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pytest.param(complex_fuse_indirect_input, True, id="complex_fuse_indirect_input"),
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pytest.param(complex_fuse_direct_input, True, id="complex_fuse_direct_input"),
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],
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)
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@pytest.mark.parametrize("input_", [0, 2, 42, 44])
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def test_fuse_float_operations(function_to_trace, fused, input_):
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"""Test function for fuse_float_operations"""
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params_names = signature(function_to_trace).parameters.keys()
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op_graph = trace_numpy_function(
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function_to_trace,
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{param_name: EncryptedValue(Integer(32, True)) for param_name in params_names},
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)
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orig_num_nodes = len(op_graph.graph)
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fuse_float_operations(op_graph)
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fused_num_nodes = len(op_graph.graph)
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if fused:
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assert fused_num_nodes < orig_num_nodes
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else:
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assert fused_num_nodes == orig_num_nodes
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input_ = numpy.int32(input_)
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num_params = len(params_names)
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inputs = (input_,) * num_params
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assert function_to_trace(*inputs) == op_graph(*inputs)
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