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tensorflow/c/BUILD
], ) cc_library( name = "tf_shape", srcs = ["tf_shape.cc"], hdrs = ["tf_shape.h"], copts = tf_copts(), visibility = ["//visibility:public"], deps = [ ":c_api_macros", ":tf_shape_internal", "//tensorflow/core:framework", ], ) cc_library( name = "tf_shape_internal", hdrs = ["tf_shape_internal.h"], copts = tf_copts(),
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.cc
const auto& tensor_shape = default_value.shape(); if (tensor_shape.unknown_rank()) { TFE_OpSetAttrShape(op, attr_name, nullptr, -1, status); } else { const auto num_dims = tensor_shape.dim_size(); std::unique_ptr<int64_t[]> dims(new int64_t[num_dims]); for (int i = 0; i < num_dims; ++i) { dims[i] = tensor_shape.dim(i).size(); }
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
TF_RETURN_IF_ERROR(operation->SetAttrType("dtype", dtype)); if (!shape.unknown_rank()) { TF_RETURN_IF_ERROR(operation->SetAttrShape( "shape", reinterpret_cast<int64_t*>(shape.dim_sizes().data()), shape.dims())); } int num_outputs = 1; std::vector<AbstractTensorHandle*> outputs(num_outputs); TF_RETURN_IF_ERROR(operation->Execute(
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) -
tensorflow/c/eager/c_api_experimental.cc
} TFE_MonitoringBuckets* TFE_MonitoringNewExponentialBuckets(double scale, double growth_factor, int bucket_count) { return new TFE_MonitoringBuckets([scale, growth_factor, bucket_count]() { return tensorflow::monitoring::Buckets::Exponential(scale, growth_factor,
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/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/tape.h
#include <stack> #include <unordered_map> #include <unordered_set> #include <vector> #include "tensorflow/core/config/flag_defs.h" #include "tensorflow/core/config/flags.h" #include "tensorflow/core/framework/tensor_shape.h" #include "tensorflow/core/framework/types.h" #include "tensorflow/core/lib/gtl/array_slice.h" #include "tensorflow/core/lib/gtl/cleanup.h" #include "tensorflow/core/lib/gtl/flatmap.h"
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1)