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Results 1 - 3 of 3 for hasAttr (0.22 sec)
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fastapi/routing.py
exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, is_coroutine: bool = True, ) -> Any: if field: errors = [] if not hasattr(field, "serialize"): # pydantic v1 response_content = _prepare_response_content( response_content, exclude_unset=exclude_unset,
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Tue Apr 02 02:48:51 UTC 2024 - 170.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/shape_inference.cc
return changed; } bool ShapeInference::InferShapeForFunctionAttachedToXlaHostCompute( XlaHostComputeOp op) { const std::string kShapeInferenceGraph = "shape_inference_graph"; if (!op->hasAttr(kShapeInferenceGraph)) { return false; } ModuleOp module = op->getParentOfType<ModuleOp>(); func::FuncOp func = module.lookupSymbol<func::FuncOp>(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Jun 08 07:28:49 UTC 2024 - 134.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/flatbuffer_export.cc
// attribute. This provides a hook for the user to represent the variable // tensor in the MLIR level. if (auto* inst = value.getDefiningOp(); inst && inst->hasAttr("tfl.is_variable")) { is_variable = true; } bool has_rank = type.hasRank(); if (shape_signature.empty()) { return tflite::CreateTensor(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:41:49 UTC 2024 - 164.5K bytes - Viewed (0)