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docs/en/data/external_links.yml
link: https://medium.com/@arthur393/another-boilerplate-to-fastapi-azure-pipeline-ci-pytest-3c8d9a4be0bb title: 'Another Boilerplate to FastAPI: Azure Pipeline CI + Pytest' - author: Shane Soh author_link: https://medium.com/@shane.soh link: https://medium.com/analytics-vidhya/deploy-machine-learning-models-with-keras-fastapi-redis-and-docker-4940df614ece title: Deploy Machine Learning Models with Keras, FastAPI, Redis and Docker
Others - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Mar 21 20:57:27 GMT 2024 - 21.3K bytes - Viewed (2) -
src/archive/tar/writer_test.go
testHeader{Header{ Typeflag: TypeReg, Name: strings.Repeat("longname/", 15) + "file.txt", Size: 6, Mode: 0644, Uid: 501, Gid: 20, Uname: "shane", Gname: "staff", ModTime: time.Unix(1360135598, 0), }, nil}, testWrite{"hello\n", 6, nil}, testClose{nil}, }, }, { // This file was produced using GNU tar v1.26:
Go - Registered: Tue Apr 30 11:13:12 GMT 2024 - Last Modified: Tue Feb 27 16:39:23 GMT 2024 - 38.7K bytes - Viewed (0) -
RELEASE.md
`max_batch_size` for building TensorRT engines. Add parameters `use_dynamic_shape` to enable dynamic shape support. The default is to disable dynamic shape support. Add `dynamic_shape_profile_strategy` for selecting a dynamic shape profile strategy. The default is profile strategy is `Range`. * Issue a warning when function get_tensorrt_rewriter_config is used.
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Apr 29 19:17:57 GMT 2024 - 727.7K bytes - Viewed (8) -
tensorflow/c/eager/abstract_tensor_handle.cc
namespace tensorflow { std::string AbstractTensorHandle::DebugString() const { PartialTensorShape shape; Status s = Shape(&shape); std::string shape_string; if (!s.ok()) { shape_string = "<error computing shape>"; } else { shape_string = shape.DebugString(); } return absl::StrCat("TensorHandle(shape=", shape_string, ", dtype=", DataType_Name(DataType()),
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 1.4K bytes - Viewed (0) -
tensorflow/c/eager/unified_api_test.cc
absl::Span<AbstractTensorHandle*> outputs) { PartialTensorShape shape; TF_RETURN_IF_ERROR(inputs[0]->Shape(&shape)); if (shape.dims() != 0) { return errors::InvalidArgument( "Tensor expected to have scalar shape found rank: ", shape.dims()); } return absl::OkStatus(); } TEST_P(UnifiedAPI, TestTensorShapeScalar) { if (UseFunction() && UseMlir()) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 6.7K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.cc
ShapeHandle shape_handle = c.output(i); TF_ShapeAndType& shape = output_shapes_result->items[i]; shape.num_dims = c.Rank(shape_handle); if (shape.num_dims == InferenceContext::kUnknownRank) { shape.dims = nullptr; continue; } shape.dims = new int64_t[shape.num_dims]; for (size_t j = 0; j < shape.num_dims; ++j) { shape.dims[j] = c.Value(c.Dim(shape_handle, j));
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 29.4K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib.cc
if (combined_shape.dims() < 0 || combined_shape.dims() != component_shape.dims()) { PartialTensorShape first_shape; TF_RETURN_IF_ERROR(unwrap(tensors_[0].get())->Shape(&first_shape)); return errors::Unimplemented(absl::StrCat( "Computing the shape of a ParallelTensor when the components do " "not all have the same rank is not supported. One tensor had " "shape ",
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Feb 09 07:47:20 GMT 2024 - 25.4K bytes - Viewed (1) -
fastapi/_compat.py
sequence_shapes = { SHAPE_LIST, SHAPE_SET, SHAPE_FROZENSET, SHAPE_TUPLE, SHAPE_SEQUENCE, SHAPE_TUPLE_ELLIPSIS, } sequence_shape_to_type = { SHAPE_LIST: list, SHAPE_SET: set, SHAPE_TUPLE: tuple, SHAPE_SEQUENCE: list, SHAPE_TUPLE_ELLIPSIS: list, } @dataclass
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Apr 18 19:40:57 GMT 2024 - 22.6K bytes - Viewed (0) -
tensorflow/c/eager/immediate_execution_tensor_handle.cc
namespace tensorflow { std::string ImmediateExecutionTensorHandle::DebugString() const { PartialTensorShape shape; std::string shape_string; if (Shape(&shape).ok()) { shape_string = shape.DebugString(); } else { shape_string = "<error computing shape>"; } std::string value_string; if (!SummarizeValue(value_string).ok()) { value_string = "<error computing value>"; }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 2.1K bytes - Viewed (0) -
docs/en/docs/tutorial/dependencies/index.md
This is very useful when you need to: * Have shared logic (the same code logic again and again). * Share database connections. * Enforce security, authentication, role requirements, etc. * And many other things... All these, while minimizing code repetition. ## First Steps
Plain Text - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Apr 18 19:53:19 GMT 2024 - 11.6K bytes - Viewed (0)