mirror of
https://github.com/thinking-machines-lab/tinker.git
synced 2026-04-19 12:58:01 +00:00
746 lines
29 KiB
Python
746 lines
29 KiB
Python
# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
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from __future__ import annotations
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import os
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from typing import Any, cast
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import pytest
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from tinker import Tinker, AsyncTinker
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from tests.utils import assert_matches_type
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from tinker.types.shared import UntypedAPIFuture
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base_url = os.environ.get("TEST_API_BASE_URL", "http://127.0.0.1:4010")
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class TestTraining:
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parametrize = pytest.mark.parametrize("client", [False, True], indirect=True, ids=["loose", "strict"])
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@pytest.mark.skip(reason="Prism tests are disabled")
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@parametrize
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def test_method_forward(self, client: Tinker) -> None:
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training = client.training.forward(
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forward_input={
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"data": [
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{
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"loss_fn_inputs": {
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"weights": {
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"data": [1, 1, 1, 0.5, 0],
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"dtype": "float32",
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},
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"target_tokens": {
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"data": [123, 456, 789, 101, 202],
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"dtype": "int64",
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},
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},
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"model_input": {
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"chunks": [
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{
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"tokens": [1234, 5678, 9012],
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"type": "encoded_text",
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}
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]
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},
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}
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],
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"loss_fn": "cross_entropy",
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},
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model_id="123e4567-e89b-12d3-a456-426614174000",
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)
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assert_matches_type(UntypedAPIFuture, training, path=["response"])
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def test_method_create(self, client: Tinker) -> None:
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training = client.training.create(
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base_model="meta-llama/Llama-3.2-1B",
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)
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assert_matches_type(UntypedAPIFuture, training, path=["response"])
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@pytest.mark.skip()
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@parametrize
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def test_method_create_with_all_params(self, client: Tinker) -> None:
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training = client.training.create(
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base_model="meta-llama/Llama-3.2-1B",
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lora_config={"rank": 16},
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type="create_model",
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)
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assert_matches_type(UntypedAPIFuture, training, path=["response"])
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@pytest.mark.skip()
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@parametrize
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def test_raw_response_create(self, client: Tinker) -> None:
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response = client.training.with_raw_response.create(
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base_model="meta-llama/Llama-3.2-1B",
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)
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assert response.is_closed is True
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assert response.http_request.headers.get("X-Stainless-Lang") == "python"
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training = response.parse()
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assert_matches_type(UntypedAPIFuture, training, path=["response"])
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@pytest.mark.skip()
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@parametrize
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def test_streaming_response_create(self, client: Tinker) -> None:
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with client.training.with_streaming_response.create(
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base_model="meta-llama/Llama-3.2-1B",
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) as response:
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assert not response.is_closed
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assert response.http_request.headers.get("X-Stainless-Lang") == "python"
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training = response.parse()
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assert_matches_type(UntypedAPIFuture, training, path=["response"])
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assert cast(Any, response.is_closed) is True
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@pytest.mark.skip()
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@parametrize
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def test_method_forward(self, client: Tinker) -> None:
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training = client.training.forward(
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fwdbwd_input={
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@pytest.mark.skip(reason="Prism tests are disabled")
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@parametrize
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def test_raw_response_forward(self, client: Tinker) -> None:
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response = client.training.with_raw_response.forward(
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forward_input={
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"data": [
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{
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"loss_fn_inputs": {
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"weights": {
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"data": [1, 1, 1, 0.5, 0],
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"dtype": "float32",
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},
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"target_tokens": {
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"data": [123, 456, 789, 101, 202],
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"dtype": "int64",
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},
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},
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"model_input": {
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"chunks": [
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{
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"tokens": [1234, 5678, 9012],
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"type": "encoded_text",
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}
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]
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},
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}
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],
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"loss_fn": "cross_entropy",
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},
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model_id="123e4567-e89b-12d3-a456-426614174000",
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)
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assert response.is_closed is True
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assert response.http_request.headers.get("X-Stainless-Lang") == "python"
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training = response.parse()
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assert_matches_type(UntypedAPIFuture, training, path=["response"])
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@pytest.mark.skip(reason="Prism tests are disabled")
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@parametrize
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def test_streaming_response_forward(self, client: Tinker) -> None:
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with client.training.with_streaming_response.forward(
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forward_input={
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"data": [
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{
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"loss_fn_inputs": {
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"weights": {
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"data": [1, 1, 1, 0.5, 0],
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"dtype": "float32",
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},
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"target_tokens": {
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"data": [123, 456, 789, 101, 202],
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"dtype": "int64",
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},
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},
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"model_input": {
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"chunks": [
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{
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"tokens": [1234, 5678, 9012],
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"type": "encoded_text",
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}
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]
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},
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}
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],
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"loss_fn": "cross_entropy",
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},
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model_id="123e4567-e89b-12d3-a456-426614174000",
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) as response:
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assert not response.is_closed
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assert response.http_request.headers.get("X-Stainless-Lang") == "python"
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training = response.parse()
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assert_matches_type(UntypedAPIFuture, training, path=["response"])
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assert cast(Any, response.is_closed) is True
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@pytest.mark.skip(reason="Prism tests are disabled")
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@parametrize
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def test_method_forward_backward(self, client: Tinker) -> None:
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training = client.training.forward_backward(
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forward_backward_input={
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"data": [
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{
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"loss_fn_inputs": {
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"weights": {
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"data": [1, 1, 1, 0.5, 0],
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"dtype": "float32",
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},
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"target_tokens": {
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"data": [123, 456, 789, 101, 202],
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"dtype": "int64",
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},
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},
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"model_input": {
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"chunks": [
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{
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"tokens": [1234, 5678, 9012],
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"type": "encoded_text",
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}
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]
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},
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}
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],
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"loss_fn": "cross_entropy",
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},
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model_id="123e4567-e89b-12d3-a456-426614174000",
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)
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assert_matches_type(UntypedAPIFuture, training, path=["response"])
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@pytest.mark.skip(reason="Prism tests are disabled")
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@parametrize
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def test_raw_response_forward_backward(self, client: Tinker) -> None:
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response = client.training.with_raw_response.forward_backward(
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forward_backward_input={
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"data": [
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{
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"loss_fn_inputs": {
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"weights": {
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"data": [1, 1, 1, 0.5, 0],
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"dtype": "float32",
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},
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"target_tokens": {
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"data": [123, 456, 789, 101, 202],
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"dtype": "int64",
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},
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},
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"model_input": {
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"chunks": [
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{
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"tokens": [1234, 5678, 9012],
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"type": "encoded_text",
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}
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]
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},
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}
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],
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"loss_fn": "cross_entropy",
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},
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model_id="123e4567-e89b-12d3-a456-426614174000",
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)
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assert response.is_closed is True
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assert response.http_request.headers.get("X-Stainless-Lang") == "python"
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training = response.parse()
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assert_matches_type(UntypedAPIFuture, training, path=["response"])
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@pytest.mark.skip(reason="Prism tests are disabled")
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@parametrize
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def test_streaming_response_forward_backward(self, client: Tinker) -> None:
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with client.training.with_streaming_response.forward_backward(
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forward_backward_input={
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"data": [
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{
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"loss_fn_inputs": {
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"weights": {
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"data": [1, 1, 1, 0.5, 0],
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"dtype": "float32",
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},
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"target_tokens": {
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"data": [123, 456, 789, 101, 202],
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"dtype": "int64",
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},
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},
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"model_input": {
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"chunks": [
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{
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"tokens": [1234, 5678, 9012],
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"type": "encoded_text",
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}
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]
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},
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}
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],
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"loss_fn": "cross_entropy",
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},
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model_id="123e4567-e89b-12d3-a456-426614174000",
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) as response:
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assert not response.is_closed
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assert response.http_request.headers.get("X-Stainless-Lang") == "python"
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training = response.parse()
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assert_matches_type(UntypedAPIFuture, training, path=["response"])
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assert cast(Any, response.is_closed) is True
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@pytest.mark.skip(reason="Prism tests are disabled")
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@parametrize
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def test_method_optim_step(self, client: Tinker) -> None:
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training = client.training.optim_step(
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adam_params={"learning_rate": 0},
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model_id="123e4567-e89b-12d3-a456-426614174000",
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)
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assert_matches_type(UntypedAPIFuture, training, path=["response"])
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@pytest.mark.skip(reason="Prism tests are disabled")
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@parametrize
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def test_method_optim_step_with_all_params(self, client: Tinker) -> None:
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training = client.training.optim_step(
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adam_params={
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"learning_rate": 0,
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"beta1": 0,
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"beta2": 0,
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"eps": 0,
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},
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model_id="123e4567-e89b-12d3-a456-426614174000",
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type="optim_step",
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)
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assert_matches_type(UntypedAPIFuture, training, path=["response"])
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@pytest.mark.skip(reason="Prism tests are disabled")
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@parametrize
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def test_raw_response_optim_step(self, client: Tinker) -> None:
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response = client.training.with_raw_response.optim_step(
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adam_params={"learning_rate": 0},
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model_id="123e4567-e89b-12d3-a456-426614174000",
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)
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assert response.is_closed is True
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assert response.http_request.headers.get("X-Stainless-Lang") == "python"
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training = response.parse()
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assert_matches_type(UntypedAPIFuture, training, path=["response"])
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@pytest.mark.skip(reason="Prism tests are disabled")
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@parametrize
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def test_streaming_response_optim_step(self, client: Tinker) -> None:
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with client.training.with_streaming_response.optim_step(
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adam_params={"learning_rate": 0},
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model_id="123e4567-e89b-12d3-a456-426614174000",
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) as response:
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assert not response.is_closed
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assert response.http_request.headers.get("X-Stainless-Lang") == "python"
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training = response.parse()
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assert_matches_type(UntypedAPIFuture, training, path=["response"])
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assert cast(Any, response.is_closed) is True
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@pytest.mark.skip()
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@parametrize
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def test_method_unload(self, client: Tinker) -> None:
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training = client.training.unload(
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model_id="123e4567-e89b-12d3-a456-426614174000",
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)
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assert_matches_type(UntypedAPIFuture, training, path=["response"])
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@pytest.mark.skip()
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@parametrize
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def test_method_unload_with_all_params(self, client: Tinker) -> None:
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training = client.training.unload(
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model_id="123e4567-e89b-12d3-a456-426614174000",
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type="unload_model",
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)
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assert_matches_type(UntypedAPIFuture, training, path=["response"])
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@pytest.mark.skip()
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@parametrize
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def test_raw_response_unload(self, client: Tinker) -> None:
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response = client.training.with_raw_response.unload(
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model_id="123e4567-e89b-12d3-a456-426614174000",
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)
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assert response.is_closed is True
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assert response.http_request.headers.get("X-Stainless-Lang") == "python"
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training = response.parse()
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assert_matches_type(UntypedAPIFuture, training, path=["response"])
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@pytest.mark.skip()
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@parametrize
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def test_streaming_response_unload(self, client: Tinker) -> None:
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with client.training.with_streaming_response.unload(
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model_id="123e4567-e89b-12d3-a456-426614174000",
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) as response:
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assert not response.is_closed
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assert response.http_request.headers.get("X-Stainless-Lang") == "python"
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training = response.parse()
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assert_matches_type(UntypedAPIFuture, training, path=["response"])
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assert cast(Any, response.is_closed) is True
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class TestAsyncTraining:
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parametrize = pytest.mark.parametrize(
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"async_client", [False, True, {"http_client": "aiohttp"}], indirect=True, ids=["loose", "strict", "aiohttp"]
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)
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@pytest.mark.skip(reason="Prism tests are disabled")
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@parametrize
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async def test_method_forward(self, async_client: AsyncTinker) -> None:
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training = await async_client.training.forward(
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forward_input={
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"data": [
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{
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|
"loss_fn_inputs": {
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|
"weights": {
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|
"data": [1, 1, 1, 0.5, 0],
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"dtype": "float32",
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|
},
|
|
"target_tokens": {
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"data": [123, 456, 789, 101, 202],
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|
"dtype": "int64",
|
|
},
|
|
},
|
|
"model_input": {
|
|
"chunks": [
|
|
{
|
|
"tokens": [1234, 5678, 9012],
|
|
"type": "encoded_text",
|
|
}
|
|
]
|
|
},
|
|
}
|
|
],
|
|
"loss_fn": "cross_entropy",
|
|
},
|
|
model_id="123e4567-e89b-12d3-a456-426614174000",
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)
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assert_matches_type(UntypedAPIFuture, training, path=["response"])
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|
|
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async def test_method_create(self, async_client: AsyncTinker) -> None:
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training = await async_client.training.create(
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base_model="meta-llama/Llama-3.2-1B",
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)
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assert_matches_type(UntypedAPIFuture, training, path=["response"])
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|
|
|
@pytest.mark.skip()
|
|
@parametrize
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|
async def test_method_create_with_all_params(self, async_client: AsyncTinker) -> None:
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training = await async_client.training.create(
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base_model="meta-llama/Llama-3.2-1B",
|
|
lora_config={"rank": 16},
|
|
type="create_model",
|
|
)
|
|
assert_matches_type(UntypedAPIFuture, training, path=["response"])
|
|
|
|
@pytest.mark.skip()
|
|
@parametrize
|
|
async def test_raw_response_create(self, async_client: AsyncTinker) -> None:
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response = await async_client.training.with_raw_response.create(
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base_model="meta-llama/Llama-3.2-1B",
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)
|
|
|
|
assert response.is_closed is True
|
|
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
|
|
training = await response.parse()
|
|
assert_matches_type(UntypedAPIFuture, training, path=["response"])
|
|
|
|
@pytest.mark.skip()
|
|
@parametrize
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|
async def test_streaming_response_create(self, async_client: AsyncTinker) -> None:
|
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async with async_client.training.with_streaming_response.create(
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base_model="meta-llama/Llama-3.2-1B",
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) as response:
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|
assert not response.is_closed
|
|
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
|
|
|
|
training = await response.parse()
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|
assert_matches_type(UntypedAPIFuture, training, path=["response"])
|
|
|
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assert cast(Any, response.is_closed) is True
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|
|
@pytest.mark.skip()
|
|
@parametrize
|
|
async def test_method_forward(self, async_client: AsyncTinker) -> None:
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|
training = await async_client.training.forward(
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fwdbwd_input={
|
|
|
|
@pytest.mark.skip(reason="Prism tests are disabled")
|
|
@parametrize
|
|
async def test_raw_response_forward(self, async_client: AsyncTinker) -> None:
|
|
response = await async_client.training.with_raw_response.forward(
|
|
forward_input={
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|
"data": [
|
|
{
|
|
"loss_fn_inputs": {
|
|
"weights": {
|
|
"data": [1, 1, 1, 0.5, 0],
|
|
"dtype": "float32",
|
|
},
|
|
"target_tokens": {
|
|
"data": [123, 456, 789, 101, 202],
|
|
"dtype": "int64",
|
|
},
|
|
},
|
|
"model_input": {
|
|
"chunks": [
|
|
{
|
|
"tokens": [1234, 5678, 9012],
|
|
"type": "encoded_text",
|
|
}
|
|
]
|
|
},
|
|
}
|
|
],
|
|
"loss_fn": "cross_entropy",
|
|
},
|
|
model_id="123e4567-e89b-12d3-a456-426614174000",
|
|
)
|
|
|
|
assert response.is_closed is True
|
|
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
|
|
training = await response.parse()
|
|
assert_matches_type(UntypedAPIFuture, training, path=["response"])
|
|
|
|
@pytest.mark.skip(reason="Prism tests are disabled")
|
|
@parametrize
|
|
async def test_streaming_response_forward(self, async_client: AsyncTinker) -> None:
|
|
async with async_client.training.with_streaming_response.forward(
|
|
forward_input={
|
|
"data": [
|
|
{
|
|
"loss_fn_inputs": {
|
|
"weights": {
|
|
"data": [1, 1, 1, 0.5, 0],
|
|
"dtype": "float32",
|
|
},
|
|
"target_tokens": {
|
|
"data": [123, 456, 789, 101, 202],
|
|
"dtype": "int64",
|
|
},
|
|
},
|
|
"model_input": {
|
|
"chunks": [
|
|
{
|
|
"tokens": [1234, 5678, 9012],
|
|
"type": "encoded_text",
|
|
}
|
|
]
|
|
},
|
|
}
|
|
],
|
|
"loss_fn": "cross_entropy",
|
|
},
|
|
model_id="123e4567-e89b-12d3-a456-426614174000",
|
|
) as response:
|
|
assert not response.is_closed
|
|
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
|
|
|
|
training = await response.parse()
|
|
assert_matches_type(UntypedAPIFuture, training, path=["response"])
|
|
|
|
assert cast(Any, response.is_closed) is True
|
|
|
|
@pytest.mark.skip(reason="Prism tests are disabled")
|
|
@parametrize
|
|
async def test_method_forward_backward(self, async_client: AsyncTinker) -> None:
|
|
training = await async_client.training.forward_backward(
|
|
forward_backward_input={
|
|
"data": [
|
|
{
|
|
"loss_fn_inputs": {
|
|
"weights": {
|
|
"data": [1, 1, 1, 0.5, 0],
|
|
"dtype": "float32",
|
|
},
|
|
"target_tokens": {
|
|
"data": [123, 456, 789, 101, 202],
|
|
"dtype": "int64",
|
|
},
|
|
},
|
|
"model_input": {
|
|
"chunks": [
|
|
{
|
|
"tokens": [1234, 5678, 9012],
|
|
"type": "encoded_text",
|
|
}
|
|
]
|
|
},
|
|
}
|
|
],
|
|
"loss_fn": "cross_entropy",
|
|
},
|
|
model_id="123e4567-e89b-12d3-a456-426614174000",
|
|
)
|
|
assert_matches_type(UntypedAPIFuture, training, path=["response"])
|
|
|
|
@pytest.mark.skip(reason="Prism tests are disabled")
|
|
@parametrize
|
|
async def test_raw_response_forward_backward(self, async_client: AsyncTinker) -> None:
|
|
response = await async_client.training.with_raw_response.forward_backward(
|
|
forward_backward_input={
|
|
"data": [
|
|
{
|
|
"loss_fn_inputs": {
|
|
"weights": {
|
|
"data": [1, 1, 1, 0.5, 0],
|
|
"dtype": "float32",
|
|
},
|
|
"target_tokens": {
|
|
"data": [123, 456, 789, 101, 202],
|
|
"dtype": "int64",
|
|
},
|
|
},
|
|
"model_input": {
|
|
"chunks": [
|
|
{
|
|
"tokens": [1234, 5678, 9012],
|
|
"type": "encoded_text",
|
|
}
|
|
]
|
|
},
|
|
}
|
|
],
|
|
"loss_fn": "cross_entropy",
|
|
},
|
|
model_id="123e4567-e89b-12d3-a456-426614174000",
|
|
)
|
|
|
|
assert response.is_closed is True
|
|
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
|
|
training = await response.parse()
|
|
assert_matches_type(UntypedAPIFuture, training, path=["response"])
|
|
|
|
@pytest.mark.skip(reason="Prism tests are disabled")
|
|
@parametrize
|
|
async def test_streaming_response_forward_backward(self, async_client: AsyncTinker) -> None:
|
|
async with async_client.training.with_streaming_response.forward_backward(
|
|
forward_backward_input={
|
|
"data": [
|
|
{
|
|
"loss_fn_inputs": {
|
|
"weights": {
|
|
"data": [1, 1, 1, 0.5, 0],
|
|
"dtype": "float32",
|
|
},
|
|
"target_tokens": {
|
|
"data": [123, 456, 789, 101, 202],
|
|
"dtype": "int64",
|
|
},
|
|
},
|
|
"model_input": {
|
|
"chunks": [
|
|
{
|
|
"tokens": [1234, 5678, 9012],
|
|
"type": "encoded_text",
|
|
}
|
|
]
|
|
},
|
|
}
|
|
],
|
|
"loss_fn": "cross_entropy",
|
|
},
|
|
model_id="123e4567-e89b-12d3-a456-426614174000",
|
|
) as response:
|
|
assert not response.is_closed
|
|
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
|
|
|
|
training = await response.parse()
|
|
assert_matches_type(UntypedAPIFuture, training, path=["response"])
|
|
|
|
assert cast(Any, response.is_closed) is True
|
|
|
|
@pytest.mark.skip(reason="Prism tests are disabled")
|
|
@parametrize
|
|
async def test_method_optim_step(self, async_client: AsyncTinker) -> None:
|
|
training = await async_client.training.optim_step(
|
|
adam_params={"learning_rate": 0},
|
|
model_id="123e4567-e89b-12d3-a456-426614174000",
|
|
)
|
|
assert_matches_type(UntypedAPIFuture, training, path=["response"])
|
|
|
|
@pytest.mark.skip(reason="Prism tests are disabled")
|
|
@parametrize
|
|
async def test_method_optim_step_with_all_params(self, async_client: AsyncTinker) -> None:
|
|
training = await async_client.training.optim_step(
|
|
adam_params={
|
|
"learning_rate": 0,
|
|
"beta1": 0,
|
|
"beta2": 0,
|
|
"eps": 0,
|
|
},
|
|
model_id="123e4567-e89b-12d3-a456-426614174000",
|
|
type="optim_step",
|
|
)
|
|
assert_matches_type(UntypedAPIFuture, training, path=["response"])
|
|
|
|
@pytest.mark.skip(reason="Prism tests are disabled")
|
|
@parametrize
|
|
async def test_raw_response_optim_step(self, async_client: AsyncTinker) -> None:
|
|
response = await async_client.training.with_raw_response.optim_step(
|
|
adam_params={"learning_rate": 0},
|
|
model_id="123e4567-e89b-12d3-a456-426614174000",
|
|
)
|
|
|
|
assert response.is_closed is True
|
|
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
|
|
training = await response.parse()
|
|
assert_matches_type(UntypedAPIFuture, training, path=["response"])
|
|
|
|
@pytest.mark.skip(reason="Prism tests are disabled")
|
|
@parametrize
|
|
async def test_streaming_response_optim_step(self, async_client: AsyncTinker) -> None:
|
|
async with async_client.training.with_streaming_response.optim_step(
|
|
adam_params={"learning_rate": 0},
|
|
model_id="123e4567-e89b-12d3-a456-426614174000",
|
|
) as response:
|
|
assert not response.is_closed
|
|
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
|
|
|
|
training = await response.parse()
|
|
assert_matches_type(UntypedAPIFuture, training, path=["response"])
|
|
|
|
assert cast(Any, response.is_closed) is True
|
|
|
|
@pytest.mark.skip()
|
|
@parametrize
|
|
async def test_method_unload(self, async_client: AsyncTinker) -> None:
|
|
training = await async_client.training.unload(
|
|
model_id="123e4567-e89b-12d3-a456-426614174000",
|
|
)
|
|
assert_matches_type(UntypedAPIFuture, training, path=["response"])
|
|
|
|
@pytest.mark.skip()
|
|
@parametrize
|
|
async def test_method_unload_with_all_params(self, async_client: AsyncTinker) -> None:
|
|
training = await async_client.training.unload(
|
|
model_id="123e4567-e89b-12d3-a456-426614174000",
|
|
type="unload_model",
|
|
)
|
|
assert_matches_type(UntypedAPIFuture, training, path=["response"])
|
|
|
|
@pytest.mark.skip()
|
|
@parametrize
|
|
async def test_raw_response_unload(self, async_client: AsyncTinker) -> None:
|
|
response = await async_client.training.with_raw_response.unload(
|
|
model_id="123e4567-e89b-12d3-a456-426614174000",
|
|
)
|
|
|
|
assert response.is_closed is True
|
|
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
|
|
training = await response.parse()
|
|
assert_matches_type(UntypedAPIFuture, training, path=["response"])
|
|
|
|
@pytest.mark.skip()
|
|
@parametrize
|
|
async def test_streaming_response_unload(self, async_client: AsyncTinker) -> None:
|
|
async with async_client.training.with_streaming_response.unload(
|
|
model_id="123e4567-e89b-12d3-a456-426614174000",
|
|
) as response:
|
|
assert not response.is_closed
|
|
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
|
|
|
|
training = await response.parse()
|
|
assert_matches_type(UntypedAPIFuture, training, path=["response"])
|
|
|
|
assert cast(Any, response.is_closed) is True
|