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docs/de/docs/reference/background.md
# Hintergrundtasks – `BackgroundTasks` Sie können einen Parameter in einer *Pfadoperation-Funktion* oder einer Abhängigkeitsfunktion mit dem Typ `BackgroundTasks` deklarieren und diesen danach verwenden, um die Ausführung von Hintergrundtasks nach dem Senden der Response zu definieren. Sie können `BackgroundTasks` direkt von `fastapi` importieren: ```python from fastapi import BackgroundTasks ```
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Wed Feb 21 22:26:48 UTC 2024 - 438 bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/tensor-list.pbtxt
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jul 29 04:41:05 UTC 2021 - 3.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/debuginfo/v1_1.0_224_frozen.wrong_attr.stack.part.pbtxt
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jul 27 18:59:05 UTC 2023 - 16.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/end2end/fake_quant_per_channel_4bit.pbtxt
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 18.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/string-attr.pbtxt
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jul 29 04:41:05 UTC 2021 - 713 bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/python/integration_test/quantize_model_test.py
merge_fusion_with_dequantize: bool, ): lhs_dim_size, rhs_dim_size = dim_sizes input_shape = (*lhs_dim_size,) filter_shape = (*rhs_dim_size,) static_input_shape = [dim if dim is not None else 2 for dim in input_shape] model = self._create_matmul_model( input_shape, filter_shape, self._input_saved_model_path, bias_fn, activation_fn, )
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 06:31:57 UTC 2024 - 51.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/tf_to_corert/device_conversion.mlir
-> (tensor<3x3xf32> {tf_saved_model.index_path = []}) { // CHECK: {{%.*}} = corert.get_op_handler %arg0 "/device:GPU:0" %2 = "tf.MatMul"(%arg0, %arg1) {T = f32, _output_shapes = ["tfshape$dim { size: 3 } dim { size: 3 }"], device = "/device:GPU:0", transpose_a = false, transpose_b = false} : (tensor<3x1xf32>, tensor<1x3xf32>) -> tensor<3x3xf32> func.return %2 : tensor<3x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 00:18:59 UTC 2024 - 645 bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/utils/utils.h
int64_t dim = output_shape[dim_idx]; if (truncate && needs_truncation && dim == 1) { continue; } else if (needs_truncation && dim != 1) { needs_truncation = false; } shape.push_back(ShapedType::isDynamic(dim) ? -1 : static_cast<int32_t>(dim)); } return mlir::DenseElementsAttr::get(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 00:40:15 UTC 2024 - 11.6K bytes - Viewed (0) -
docs/de/docs/tutorial/query-params.md
``` Query-Parameter (Deutsch: Abfrage-Parameter) sind die Schlüssel-Wert-Paare, die nach dem `?` in einer URL aufgelistet sind, getrennt durch `&`-Zeichen. Zum Beispiel sind in der URL: ``` http://127.0.0.1:8000/items/?skip=0&limit=10 ``` ... die Query-Parameter: * `skip`: mit dem Wert `0` * `limit`: mit dem Wert `10` Da sie Teil der URL sind, sind sie „naturgemäß“ Strings.
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Thu Jan 25 14:53:41 UTC 2024 - 5.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/end2end/back2back_fake_quant.pbtxt
op: "Placeholder" attr { key: "dtype" value { type: DT_FLOAT } } attr { key: "shape" value { shape { dim { size: -1 } dim { size: 1 } } } } } node { name: "sequential/quant_dense/MatMul/ReadVariableOp/resource" op: "Const" attr { key: "dtype"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Nov 15 19:42:47 UTC 2021 - 25.9K bytes - Viewed (0)