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tensorflow/c/c_api_test.cc
CompareTensors(out1, expected_out1); } void CompareTensors(TF_Tensor* a, TF_Tensor* b) { float* a_data = static_cast<float*>(TF_TensorData(a)); float* b_data = static_cast<float*>(TF_TensorData(b)); EXPECT_EQ(*a_data, *b_data); } void AddGradients(bool grad_inputs_provided, const char* prefix, TF_Output* inputs, int ninputs, TF_Output* outputs,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3) -
tensorflow/c/eager/unified_api_testutil.h
// Return a tensor handle with given type, values and dimensions. template <class T, TF_DataType datatype> Status TestTensorHandleWithDims(AbstractContext* ctx, const T* data, const int64_t* dims, int num_dims, AbstractTensorHandle** tensor) { std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status(
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 4K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/nn_grad.cc
*/ AbstractTensorHandle* upstream_grad = grad_outputs[0]; DCHECK(upstream_grad); // Recover data format from forward pass for gradient. std::string data_format; TF_RETURN_IF_ERROR(forward_attrs_.Get("data_format", &data_format)); // Grad for A grad_inputs[0] = upstream_grad; grad_inputs[0]->Ref(); // Grad for bias
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5.7K bytes - Viewed (0) -
tensorflow/c/c_api.cc
auto* out_shape_and_type = handle_data.add_shape_and_type(); ic->ShapeHandleToProto(p.shape, out_shape_and_type->mutable_shape()); out_shape_and_type->set_dtype(p.dtype); *out_shape_and_type->mutable_type() = p.type; } } string str_data; handle_data.SerializeToString(&str_data); TF_Buffer* result = TF_NewBufferFromString(str_data.c_str(), str_data.size()); return result; }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K bytes - Viewed (0) -
requirements_lock_3_10.txt
tblib==2.0.0 \ --hash=sha256:9100bfa016b047d5b980d66e7efed952fbd20bd85b56110aaf473cb97d18709a \ --hash=sha256:a6df30f272c08bf8be66e0775fad862005d950a6b8449b94f7c788731d70ecd7 # via -r requirements.in tensorboard-data-server==0.7.2 \ --hash=sha256:7e0610d205889588983836ec05dc098e80f97b7e7bbff7e994ebb78f578d0ddb \ --hash=sha256:9fe5d24221b29625dbc7328b0436ca7fc1c23de4acf4d272f1180856e32f9f60 \
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Apr 12 04:38:53 GMT 2024 - 43.8K bytes - Viewed (0) -
tensorflow/c/BUILD
] + if_not_mobile([ "//tensorflow/core/kernels:tensor_list", "//tensorflow/core/kernels:tensor_list_util", "//tensorflow/core/kernels:variant_ops_util", "//tensorflow/core/kernels/data:optional_ops_util", "//tensorflow/core/platform:abi", ]), alwayslink = 1, ) tf_cuda_library( name = "ops", srcs = [ "ops.cc", ], hdrs = [
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 27 18:00:18 GMT 2024 - 30.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.cc
tensorflow::string value = cell->cell.value(); void* data = tensorflow::port::Malloc(value.length()); value.copy(static_cast<char*>(data), value.length(), 0); buf->data = data; buf->length = value.length(); buf->data_deallocator = [](void* data, size_t length) { tensorflow::port::Free(data); }; } TFE_MonitoringStringGauge0* TFE_MonitoringNewStringGauge0(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 11 23:52:39 GMT 2024 - 35.9K bytes - Viewed (3) -
tensorflow/c/eager/c_api.cc
tensorflow::DataType dtype, void* data, TFE_CustomDeviceTensorHandleMethods methods) : tensorflow::CustomDeviceTensorHandle(context, device, dtype), data_(data), methods_(methods) {} ~CAPICustomDeviceTensorHandle() override { methods_.deallocator(data_); } void* DevicePointer() const override { return data_; } Status NumDims(int* num_dims) const override {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 43.9K bytes - Viewed (2) -
tensorflow/c/eager/c_api_unified_experimental_graph.cc
} auto s = TF_NewStatus(); auto func = TF_GraphToFunction(graph_.get(), name_.data(), 0, -1, nullptr, inputs_.size(), inputs_.data(), graph_outputs.size(), graph_outputs.data(), nullptr, nullptr, name_.data(), s); *f = new GraphFunction(std::move(func->record->fdef())); TF_DeleteFunction(func);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 15.4K bytes - Viewed (1) -
RELEASE.md
* `tf.data`: * Graduated experimental APIs: * [`tf.data.Dataset.ragged_batch`](https://www.tensorflow.org/api_docs/python/tf/data/Dataset/#ragged_batch), which batches elements of `tf.data.Dataset`s into `tf.RaggedTensor`s. * [`tf.data.Dataset.sparse_batch`](https://www.tensorflow.org/api_docs/python/tf/data/Dataset/#sparse_batch), which batches elements of `tf.data.Dataset`s into `tf.sparse.SparseTensor`s.
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)