- Sort Score
- Result 10 results
- Languages All
Results 1 - 9 of 9 for Int64 (0.31 sec)
-
tensorflow/c/c_api_test.cc
} } void TestEncodeDecode(int line, const std::vector<string>& data) { const int64_t n = data.size(); Status status; for (const std::vector<int64_t>& dims : std::vector<std::vector<int64_t>>{{n}, {1, n}, {n, 1}, {n / 2, 2}}) { // Create C++ Tensor Tensor src(tensorflow::DT_STRING, TensorShape(dims)); for (int64_t i = 0; i < src.NumElements(); ++i) { src.flat<tstring>()(i) = data[i]; }
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/c_api_unified_experimental_graph.cc
return absl::OkStatus(); } Status SetAttrShape(const char* attr_name, const int64_t* dims, const int num_dims) override { PartialTensorShape shape; if (num_dims >= 0) { shape = PartialTensorShape(ArraySlice<int64_t>( reinterpret_cast<const int64_t*>(dims), num_dims)); } op_->node_builder.Attr(attr_name, shape); return absl::OkStatus(); }
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/c_api.cc
int64_t value) { desc->node_builder.Attr(attr_name, static_cast<int64_t>(value)); } void TF_SetAttrIntList(TF_OperationDescription* desc, const char* attr_name, const int64_t* values, int num_values) { desc->node_builder.Attr( attr_name, ArraySlice<const int64_t>( reinterpret_cast<const int64_t*>(values), num_values)); }
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) -
tensorflow/c/eager/tape.h
// Map from tensor ID to how many references still exist for this tensor in // the tape. std::unordered_map<int64_t, int64_t> tensor_usage_counts; // Maps from op ID to how many output tensors of this op still need to have // their gradients computed. std::unordered_map<int64_t, int64_t> op_missing_tensor; }; // If `persistent_tape` is true, op_tape is not changed and none of the
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) -
tensorflow/c/eager/c_api.cc
return num_dims; } int64_t TFE_TensorHandleNumElements(TFE_TensorHandle* h, TF_Status* status) { if (h == nullptr) { status->status = tensorflow::errors::InvalidArgument("Invalid handle"); return -1; } int64_t num_elements = -1; status->status = tensorflow::unwrap(h)->NumElements(&num_elements); return num_elements; } int64_t TFE_TensorHandleDim(TFE_TensorHandle* h, int dim_index,
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_experimental.cc
} TF_Tensor* TFE_AllocateHostTensor(TFE_Context* ctx, TF_DataType dtype, const int64_t* dims, int num_dims, TF_Status* status) { std::vector<int64_t> dimvec(num_dims); for (int i = 0; i < num_dims; ++i) { dimvec[i] = static_cast<int64_t>(dims[i]); } if (ctx == nullptr) { status->status = tensorflow::errors::InvalidArgument("Invalid Context");
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/experimental/filesystem/plugins/posix/posix_filesystem.cc
requested_read_length = INT32_MAX; else requested_read_length = n; // `pread` returns a `ssize_t` on POSIX, but due to interface being // cross-platform, return type of `Read` is `int64_t`. int64_t r = int64_t{pread(posix_file->fd, dst, requested_read_length, static_cast<off_t>(offset))}; if (r > 0) { dst += r; offset += static_cast<uint64_t>(r);
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Sun Mar 24 20:08:23 GMT 2024 - 15.8K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.cc
const int64_t* dims, int num_dims) { DCHECK(index >= 0 && index < shape_list->num_items); TF_ShapeAndType& shape = shape_list->items[index]; DCHECK(shape.dims == nullptr) << "Shape at " << index << " is already set!"; DCHECK(num_dims >= 0) << "Number of dimensions cannot be negative!"; shape.num_dims = num_dims; shape.dims = new int64_t[num_dims];
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) -
RELEASE.md
* `tf.where` op for data types `tf.int32`/`tf.uint32`/`tf.int8`/`tf.uint8`/`tf.int64`. * `tf.random.normal` op for output data type `tf.float32` on CPU. * `tf.random.uniform` op for output data type `tf.float32` on CPU. * `tf.random.categorical` op for output data type `tf.int64` on CPU. * `tensorflow.experimental.tensorrt`:
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)