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tensorflow/c/BUILD
":tf_tensor_hdrs", # TODO: Only include tf_tstring_hdrs. Don't expose the implementation of TF_TString to API # users. ":tf_tstring", "//tensorflow/core:protos_all_cc", ], ) tf_cuda_library( name = "c_api_internal", hdrs = [ "c_api.h", "c_api_internal.h", "c_api_macros.h", "tf_buffer.h",
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tensorflow/c/eager/BUILD
"//tensorflow/core:lib", "//tensorflow/core:protos_all_cc", ], ) cc_library( name = "abstract_op_attrs", hdrs = ["abstract_op_attrs.h"], visibility = [ "//tensorflow:internal", ], deps = [ "//tensorflow/core:lib", "//tensorflow/core:protos_all_cc", "@com_google_absl//absl/container:inlined_vector", ], )
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.github/workflows/mint/nginx-1-node.conf
proxy_set_header Host $http_host; proxy_set_header X-Real-IP $remote_addr; proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; proxy_set_header X-Forwarded-Proto $scheme; proxy_connect_timeout 300; # Default is HTTP/1, keepalive is only enabled in HTTP/1.1 proxy_http_version 1.1; proxy_set_header Connection "";
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.github/workflows/mint/nginx-8-node.conf
proxy_set_header Host $http_host; proxy_set_header X-Real-IP $remote_addr; proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; proxy_set_header X-Forwarded-Proto $scheme; proxy_connect_timeout 300; # Default is HTTP/1, keepalive is only enabled in HTTP/1.1 proxy_http_version 1.1; proxy_set_header Connection "";
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docs/orchestration/docker-compose/nginx.conf
proxy_set_header Host $http_host; proxy_set_header X-Real-IP $remote_addr; proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; proxy_set_header X-Forwarded-Proto $scheme; proxy_connect_timeout 300; # Default is HTTP/1, keepalive is only enabled in HTTP/1.1 proxy_http_version 1.1; proxy_set_header Connection "";
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docs/es/docs/deployment/versions.md
Entonces, puedes dejar que **FastAPI** se asegure por sí mismo de qué versión de Starlette usar. ## Acerca de Pydantic Pydantic incluye los tests para **FastAPI** dentro de sus propios tests, esto significa que las versiones de Pydantic (superiores a `1.0.0`) son compatibles con FastAPI. Puedes fijar Pydantic a cualquier versión superior a `1.0.0` e inferior a `2.0.0` que funcione para ti. Por ejemplo:
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docs/pt/docs/index.md
<a href="https://fastapi.tiangolo.com"><img src="https://fastapi.tiangolo.com/img/logo-margin/logo-teal.png" alt="FastAPI"></a> </p> <p align="center"> Framework FastAPI, alta performance, fácil de aprender, fácil de codar, pronto para produção </p> <p align="center"> <a href="https://github.com/tiangolo/fastapi/actions?query=workflow%3ATest" target="_blank"> <img src="https://github.com/tiangolo/fastapi/workflows/Test/badge.svg" alt="Test">
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common-protos/k8s.io/apimachinery/pkg/runtime/schema/generated.proto
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common-protos/k8s.io/apimachinery/pkg/util/intstr/generated.proto
See the License for the specific language governing permissions and limitations under the License. */ // This file was autogenerated by go-to-protobuf. Do not edit it manually! syntax = "proto2"; package k8s.io.apimachinery.pkg.util.intstr; // Package-wide variables from generator "generated". option go_package = "k8s.io/apimachinery/pkg/util/intstr";
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tensorflow/BUILD
config_setting( name = "lite_protos_legacy", define_values = {"TENSORFLOW_PROTOS": "lite"}, visibility = ["//visibility:public"], ) config_setting( name = "full_protos", define_values = {"TENSORFLOW_PROTOS": "full"}, visibility = ["//visibility:public"], ) selects.config_setting_group( name = "lite_protos", match_any = [":lite_protos_legacy"],
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