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docs/en/docs/img/sponsors/scalar-banner.svg
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docs/en/data/sponsors.yml
title: Reflex img: https://fastapi.tiangolo.com/img/sponsors/reflex.png - url: https://github.com/scalar/scalar/?utm_source=fastapi&utm_medium=website&utm_campaign=main-badge title: "Scalar: Beautiful Open-Source API References from Swagger/OpenAPI files" img: https://fastapi.tiangolo.com/img/sponsors/scalar.svg - url: https://www.propelauth.com/?utm_source=fastapi&utm_campaign=1223&utm_medium=mainbadge
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tests/test_compat.py
@needs_pydanticv1 def test_union_scalar_list(): # For coverage # TODO: there might not be a current valid code path that uses this, it would # potentially enable query parameters defined as both a scalar and a list # but that would require more refactors, also not sure it's really useful from fastapi._compat import is_pv1_scalar_field field_info = FieldInfo() field = ModelField(
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docs/en/overrides/main.html
</div> <div class="item"> <a title="Scalar: Beautiful Open-Source API References from Swagger/OpenAPI files" style="display: block; position: relative;" href="https://github.com/scalar/scalar/?utm_source=fastapi&utm_medium=website&utm_campaign=top-banner" target="_blank"> <span class="sponsor-badge">sponsor</span> <img class="sponsor-image" src="/img/sponsors/scalar-banner.svg" /> </a> </div>
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tensorflow/c/eager/c_api_test_util.h
#include "tensorflow/core/protobuf/tensorflow_server.pb.h" // Return a tensor handle containing a float scalar TFE_TensorHandle* TestScalarTensorHandle(TFE_Context* ctx, float value); // Return a tensor handle containing a int scalar TFE_TensorHandle* TestScalarTensorHandle(TFE_Context* ctx, int value); // Return a tensor handle containing a bool scalar TFE_TensorHandle* TestScalarTensorHandle(TFE_Context* ctx, bool value);
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tensorflow/c/eager/gradient_checker.cc
int num_dims_out = TF_NumDims(model_out_tensor); TF_DeleteTensor(model_out_tensor); // If the output is a scalar, then return the scalar output if (num_dims_out == 0) { outputs[0] = model_out.release(); return absl::OkStatus(); } // Else, reduce sum the output to get a scalar // Will sum all dimensions, so get a Tensor containing [0,...,num_dims_out-1]. AbstractTensorHandlePtr sum_dims; {
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tensorflow/c/c_test_util.h
TF_Operation* ScalarConst(bool v, TF_Graph* graph, TF_Status* s, const char* name = "scalar"); TF_Operation* ScalarConst(int32_t v, TF_Graph* graph, TF_Status* s, const char* name = "scalar"); TF_Operation* ScalarConst(double v, TF_Graph* graph, TF_Status* s, const char* name = "scalar"); TF_Operation* ScalarConst(float v, TF_Graph* graph, TF_Status* s,
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docs/en/data/sponsors_badge.yml
- nihpo - armand-sauzay - databento-bot - databento - nanram22 - Flint-company - porter-dev - fern-api - ndimares - svixhq - Alek99 - codacy - zanfaruqui - scalar - bump-sh - andrew-propelauth
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tensorflow/c/eager/unified_api_test.cc
} public: bool UseMlir() const { return strcmp(std::get<0>(GetParam()), "mlir") == 0; } bool UseFunction() const { return std::get<2>(GetParam()); } }; // Checks that inputs[0] is a scalar. Status TestScalarShape(AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs, absl::Span<AbstractTensorHandle*> outputs) { PartialTensorShape shape;
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tensorflow/c/eager/unified_api_testutil.h
TestTensorHandleWithDims<T, datatype>(eager_ctx, data, dims, num_dims); *tensor = unwrap(TF_CreateAbstractTensorFromEagerTensor(input_eager, status.get())); return absl::OkStatus(); } // Return a scalar tensor handle with given value. template <class T, TF_DataType datatype> Status TestScalarTensorHandle(AbstractContext* ctx, const T value, AbstractTensorHandle** tensor) {
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