ezkl 9.1.0, zkstats 0.1.3, format result as array to include regression case, mod supported in median

This commit is contained in:
JernKunpittaya
2024-03-03 15:36:40 +07:00
parent 4537a77c43
commit db061ef749
21 changed files with 883 additions and 1050 deletions

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@@ -2,13 +2,13 @@
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]
[package.dependencies]
@@ -1888,7 +1892,7 @@ nvidia-cusparse-cu12 = {version = "12.1.0.106", markers = "platform_system == \"
nvidia-nccl-cu12 = {version = "2.19.3", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
sympy = "*"
triton = {version = "2.2.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
triton = {version = "2.2.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.12\""}
typing-extensions = ">=4.8.0"
[package.extras]
@@ -1955,24 +1959,24 @@ tutorials = ["matplotlib", "pandas", "tabulate", "torch"]
[[package]]
name = "typing-extensions"
version = "4.9.0"
version = "4.10.0"
description = "Backported and Experimental Type Hints for Python 3.8+"
optional = false
python-versions = ">=3.8"
files = [
{file = "typing_extensions-4.9.0-py3-none-any.whl", hash = "sha256:af72aea155e91adfc61c3ae9e0e342dbc0cba726d6cba4b6c72c1f34e47291cd"},
{file = "typing_extensions-4.9.0.tar.gz", hash = "sha256:23478f88c37f27d76ac8aee6c905017a143b0b1b886c3c9f66bc2fd94f9f5783"},
{file = "typing_extensions-4.10.0-py3-none-any.whl", hash = "sha256:69b1a937c3a517342112fb4c6df7e72fc39a38e7891a5730ed4985b5214b5475"},
{file = "typing_extensions-4.10.0.tar.gz", hash = "sha256:b0abd7c89e8fb96f98db18d86106ff1d90ab692004eb746cf6eda2682f91b3cb"},
]
[[package]]
name = "urllib3"
version = "2.2.0"
version = "2.2.1"
description = "HTTP library with thread-safe connection pooling, file post, and more."
optional = false
python-versions = ">=3.8"
files = [
{file = "urllib3-2.2.0-py3-none-any.whl", hash = "sha256:ce3711610ddce217e6d113a2732fafad960a03fd0318c91faa79481e35c11224"},
{file = "urllib3-2.2.0.tar.gz", hash = "sha256:051d961ad0c62a94e50ecf1af379c3aba230c66c710493493560c0c223c49f20"},
{file = "urllib3-2.2.1-py3-none-any.whl", hash = "sha256:450b20ec296a467077128bff42b73080516e71b56ff59a60a02bef2232c4fa9d"},
{file = "urllib3-2.2.1.tar.gz", hash = "sha256:d0570876c61ab9e520d776c38acbbb5b05a776d3f9ff98a5c8fd5162a444cf19"},
]
[package.extras]
@@ -2010,4 +2014,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
[metadata]
lock-version = "2.0"
python-versions = "^3.9"
content-hash = "cf9482db6e504a38e3044e26a6b145e6fb4295936e19a6226e9b6dcbc2ba3270"
content-hash = "3b9e31329875d4c44356a5b2ec0c2d5b95b82b31d99a91e70054cc7728266e52"

View File

@@ -1,12 +1,12 @@
[tool.poetry]
name = "zkstats"
version = "0.1.2"
version = "0.1.3"
description = ""
authors = ["Jern Kunpittaya", "Kevin Chia"]
[tool.poetry.dependencies]
python = "^3.9"
ezkl = "7.0.0"
ezkl = "9.1.0"
torch = "^2.1.1"
requests = "^2.31.0"
scipy = "^1.11.4"

View File

@@ -1,4 +1,4 @@
ezkl==7.0.0
ezkl==9.1.0
torch
requests
scipy

View File

@@ -47,7 +47,8 @@ def test_get_data_commitment_maps_hardcoded(tmp_path):
data_to_file(data_path, [column_0, column_1])
scales = [2, 3]
commitment_maps = get_data_commitment_maps(data_path, scales)
expected = {"2": {'columns_0': '0x28b5eeb5aeee399c8c50c5b323def9a1aec1deee5b9ae193463d4f9b8893a9a3', 'columns_1': '0x0523c85a86dddd810418e8376ce6d9d21b1b7363764c9c31b575b8ffbad82987'}, "3": {'columns_0': '0x0a2906522d3f902ff4a63ee8aed4d2eaec0b14f71c51eb9557bd693a4e7d77ad', 'columns_1': '0x2dac7fee1efb9eb955f52494a26a3fba6d1fa28cc819e598cb0af31a47b29d08'}}
# expected = {"2": {'columns_0': '0x28b5eeb5aeee399c8c50c5b323def9a1aec1deee5b9ae193463d4f9b8893a9a3', 'columns_1': '0x0523c85a86dddd810418e8376ce6d9d21b1b7363764c9c31b575b8ffbad82987'}, "3": {'columns_0': '0x0a2906522d3f902ff4a63ee8aed4d2eaec0b14f71c51eb9557bd693a4e7d77ad', 'columns_1': '0x2dac7fee1efb9eb955f52494a26a3fba6d1fa28cc819e598cb0af31a47b29d08'}}
expected = {"2": {'columns_0': 'a3a993889b4f3d4693e19a5beedec1aea1f9de23b3c5508c9c39eeaeb5eeb528', 'columns_1': '8729d8baffb875b5319c4c7663731b1bd2d9e66c37e8180481dddd865ac82305'}, "3": {'columns_0': 'ad777d4e3a69bd5795eb511cf7140becead2d4aee83ea6f42f903f2d5206290a', 'columns_1': '089db2471af30acb98e519c88ca21f6dba3f6aa29424f555b99efb1eee7fac2d'}}
assert commitment_maps == expected

View File

@@ -156,9 +156,11 @@ def prover_gen_proof(
# print(witness["outputs"])
settings = json.load(open(settings_path))
output_scale = settings['model_output_scales']
print("witness boolean: ", ezkl.vecu64_to_float(witness['outputs'][0][0], output_scale[0]))
# print("witness boolean: ", ezkl.vecu64_to_float(witness['outputs'][0][0], output_scale[0]))
print("witness boolean: ", ezkl.felt_to_float(witness['outputs'][0][0], output_scale[0]))
for i in range(len(witness['outputs'][1])):
print("witness result", i+1,":", ezkl.vecu64_to_float(witness['outputs'][1][i], output_scale[1]))
# print("witness result", i+1,":", ezkl.vecu64_to_float(witness['outputs'][1][i], output_scale[1]))
print("witness result", i+1,":", ezkl.felt_to_float(witness['outputs'][1][i], output_scale[1]))
# GENERATE A PROOF
print("==== Generating Proof ====")
@@ -238,7 +240,8 @@ def verifier_verify(proof_path: str, settings_path: str, vk_path: str, selected_
# Sanity check
# Check each commitment is correct
for i, (actual_commitment, column_name) in enumerate(zip(inputs, selected_columns)):
actual_commitment_str = ezkl.vecu64_to_felt(actual_commitment)
# actual_commitment_str = ezkl.vecu64_to_felt(actual_commitment)
actual_commitment_str = (actual_commitment)
input_scale = input_scales[i]
expected_commitment = commitment_maps[str(input_scale)][column_name]
assert actual_commitment_str == expected_commitment, f"commitment mismatch: {i=}, {actual_commitment_str=}, {expected_commitment=}"
@@ -247,9 +250,14 @@ def verifier_verify(proof_path: str, settings_path: str, vk_path: str, selected_
# - is a tuple (is_in_error, result)
# - is_valid is True
# Sanity check
is_in_error = ezkl.vecu64_to_float(outputs[0], output_scales[0])
# is_in_error = ezkl.vecu64_to_float(outputs[0], output_scales[0])
is_in_error = ezkl.felt_to_float(outputs[0], output_scales[0])
assert is_in_error == 1.0, f"result is not within error"
return ezkl.vecu64_to_float(outputs[1], output_scales[1])
result_arr = []
for index in range(len(outputs)-1):
# result_arr.append(ezkl.vecu64_to_float(outputs[index+1], output_scales[1]))
result_arr.append(ezkl.felt_to_float(outputs[index+1], output_scales[1]))
return result_arr
# ===================================================================================================
@@ -376,7 +384,9 @@ def _process_data(
def _get_commitment_for_column(column: list[float], scale: int) -> str:
# Ref: https://github.com/zkonduit/ezkl/discussions/633
serialized_data = [ezkl.float_to_vecu64(x, scale) for x in column]
res_poseidon_hash = ezkl.poseidon_hash(serialized_data)
res_hex = ezkl.vecu64_to_felt(res_poseidon_hash[0])
return res_hex
# serialized_data = [ezkl.float_to_vecu64(x, scale) for x in column]
serialized_data = [ezkl.float_to_felt(x, scale) for x in column]
res_poseidon_hash = ezkl.poseidon_hash(serialized_data)[0]
# res_hex = ezkl.vecu64_to_felt(res_poseidon_hash[0])
return res_poseidon_hash

View File

@@ -69,8 +69,7 @@ class Median(Operation):
len = x.size()[1]
half_len = torch.floor(torch.div(len, 2))
# not support modulo yet
less_cons = count_less<half_len+2*(len/2 - torch.floor(len/2))
less_cons = count_less<half_len+len%2
more_cons = count_less+count_equal>half_len
# For count_equal == 0