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tensorflow/c/eager/c_api_unified_experimental.cc
return nullptr; } tensorflow::PartialTensorShape partial_shape; if (shape.num_dims != -1) { DCHECK(shape.dim_sizes != nullptr); Status status = tensorflow::PartialTensorShape::MakePartialShape( reinterpret_cast<int64_t*>(shape.dim_sizes), shape.num_dims, &partial_shape); if (!status.ok()) { tsl::Set_TF_Status_from_Status(s, status); return nullptr;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 9K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.cc
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)); } } if (output_shapes != nullptr) *output_shapes = output_shapes_result; // TODO(bgogul): Set output_resource_shapes_and_types. }
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/dlpack.cc
std::vector<int64_t>* shape_arr = &tf_dlm_tensor_ctx->shape; std::vector<int64_t>* stride_arr = &tf_dlm_tensor_ctx->strides; shape_arr->resize(ndim); stride_arr->resize(ndim, 1); for (int i = 0; i < ndim; i++) { (*shape_arr)[i] = tensor->dim_size(i); } for (int i = ndim - 2; i >= 0; --i) { (*stride_arr)[i] = (*shape_arr)[i + 1] * (*stride_arr)[i + 1]; }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 12.8K 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/eager/abstract_operation.h
// fastbuild. inline Status AbstractOperation::SetAttrShape(const char* attr_name, const PartialTensorShape shape) { return SetAttrShape(attr_name, shape.dim_sizes().data(), shape.dims()); } inline Status AbstractOperation::SetAttrStringList( const char* attr_name, absl::Span<string const> values) { std::vector<const char*> raw_strs;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jul 14 16:20:41 GMT 2021 - 6.8K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental_graph.cc
std::vector<PartialTensorShape> shapes; shapes.reserve(num_values); for (int i = 0; i < num_values; ++i) { if (num_dims[i] < 0) { shapes.emplace_back(); } else { shapes.emplace_back(ArraySlice<int64_t>( reinterpret_cast<const int64_t*>(dims[i]), num_dims[i])); } } op_->node_builder.Attr(attr_name, shapes); 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/eager/abstract_tensor_handle.h
virtual tensorflow::Status TensorHandleStatus() const; // Returns tensor shape. If tensor has unknown rank, shape remains untouched. virtual tensorflow::Status Shape( tensorflow::PartialTensorShape* shape) const = 0; // Returns tensor (full) type. // While there is no immediate plan to deprecate dtype and shape in favor // of only using full type type information, this is a future possibility. //
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Mar 03 00:30:36 GMT 2023 - 3K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib_test.cc
auto outputs = parallel_device.Join( /*expected_output_shapes=*/{PartialTensorShape({})}, status.get()); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); const std::vector<std::unique_ptr<ParallelTensor>>& handles = *outputs; const std::vector<int64_t>* shape; Status s = handles[0]->Shape(&shape); ASSERT_TRUE(s.ok()); EXPECT_EQ(0, shape->size()); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 08 23:47:35 GMT 2021 - 15.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental.h
// Represents a (partially-defined) shape. typedef struct TF_Shape { int num_dims; // Must be >= -1; -1 represents unknown rank. int64_t* dim_sizes; } TF_Shape; // Add a new parameter to a TensorFlow Function. TF_AbstractTensor* TF_AddFunctionParameter(TF_ExecutionContext* func, TF_DataType dtype, TF_Shape shape, TF_Status* s);
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Sun Oct 24 11:27:00 GMT 2021 - 7K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.h
// if you want shape inference to consider the input tensors of the // op for shape inference. // - The types need not be set in `input_shapes` as it is not used. // - The number of `input_tensors` should be the same as the number of items // in `input_shapes`. // // The results are returned in `output_shapes` and // `output_resource_shapes_and_types`. The caller is responsible for freeing the
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 15.1K bytes - Viewed (0)