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tensorflow/c/experimental/gradients/array_grad_test.cc
namespace { using tensorflow::TF_StatusPtr; Status IdentityNModel(AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs, absl::Span<AbstractTensorHandle*> outputs) { std::vector<AbstractTensorHandle*> temp_outputs(2); TF_RETURN_IF_ERROR( ops::IdentityN(ctx, inputs, absl::MakeSpan(temp_outputs), "IdentityN")); // Although, `ops::IdentityN` returns 2 tensors, the first tensor isn't needed
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docs/de/docs/tutorial/path-params.md
<img src="/img/tutorial/path-params/image03.png"> ### Mit Python-*<abbr title="Enumeration – Aufzählung">Enums</abbr>* arbeiten Der *Pfad-Parameter* wird ein *<abbr title="Member – Mitglied: Einer der möglichen Werte einer Enumeration">Member</abbr> eines Enums* sein. #### *Enum-Member* vergleichen Sie können ihn mit einem Member Ihres Enums `ModelName` vergleichen:
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tensorflow/c/eager/immediate_execution_operation.h
#ifndef TENSORFLOW_C_EAGER_IMMEDIATE_EXECUTION_OPERATION_H_ #define TENSORFLOW_C_EAGER_IMMEDIATE_EXECUTION_OPERATION_H_ #include <memory> #include "absl/types/optional.h" #include "absl/types/span.h" #include "tensorflow/c/eager/abstract_operation.h" #include "tensorflow/c/eager/immediate_execution_tensor_handle.h" #include "tensorflow/c/tensor_interface.h"
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docs/zh/docs/tutorial/path-params-numeric-validations.md
``` ## 数值校验:浮点数、大于和小于 数值校验同样适用于 `float` 值。 能够声明 <abbr title="大于"><code>gt</code></abbr> 而不仅仅是 <abbr title="大于等于"><code>ge</code></abbr> 在这个前提下变得重要起来。例如,你可以要求一个值必须大于 `0`,即使它小于 `1`。 因此,`0.5` 将是有效值。但是 `0.0`或 `0` 不是。 对于 <abbr title="less than"><code>lt</code></abbr> 也是一样的。 ```Python hl_lines="11" {!../../../docs_src/path_params_numeric_validations/tutorial006.py!} ```
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tensorflow/c/eager/parallel_device/parallel_device.cc
->DebugString(), " as input to a parallel operation. First pack non-parallel " "tensors for each device into a parallel tensor explicitly.") .c_str()); return absl::nullopt; } } else { parallel_inputs.push_back(absl::get<ParallelTensor*>(input)); } }
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docs/ko/docs/tutorial/path-params-numeric-validations.md
``` ## 숫자 검증: 부동소수, 크거나 및 작거나 숫자 검증은 `float` 값에도 동작합니다. 여기에서 <abbr title="greater than or equal"><code>ge</code></abbr>뿐만 아니라 <abbr title="greater than"><code>gt</code></abbr>를 선언 할 수있는 것이 중요해집니다. 예를 들어 필요한 경우, 값이 `1`보다 작더라도 반드시 `0`보다 커야합니다. 즉, `0.5`는 유효한 값입니다. 그러나 `0.0` 또는 `0`은 그렇지 않습니다. <abbr title="less than"><code>lt</code></abbr> 역시 마찬가지입니다. ```Python hl_lines="11"
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tensorflow/c/eager/immediate_execution_tensor_handle.cc
// The default NumPy-style output can be distractingly long in error // messages. value_string = absl::StrCat(value_string.substr(0, 100), " [...]"); } Status s; const char* device_name = DeviceName(&s); if (!s.ok()) { device_name = "<error fetching device name>"; } return absl::StrCat("TensorHandle(", value_string, ", shape=", shape_string,
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docs/en/docs/tutorial/request-forms.md
``` For example, in one of the ways the OAuth2 specification can be used (called "password flow") it is required to send a `username` and `password` as form fields. The <abbr title="specification">spec</abbr> requires the fields to be exactly named `username` and `password`, and to be sent as form fields, not JSON.
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docs/ru/docs/tutorial/path-params-numeric-validations.md
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docs/es/docs/tutorial/path-params.md
En este caso, `item_id` es declarado como un `int`. !!! check "Revisa" Esto te dará soporte en el editor dentro de tu función, con chequeo de errores, auto-completado, etc. ## <abbr title="también conocido en inglés como: serialization, parsing, marshalling">Conversión</abbr> de datos
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