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Results 1 - 10 of 38 for num_dims (0.35 sec)
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tensorflow/c/eager/gradient_checker.cc
// Will sum all dimensions, so get a Tensor containing [0,...,num_dims_out-1]. AbstractTensorHandlePtr sum_dims; { vector<int32_t> vals(num_dims_out); int64_t vals_shape[] = {num_dims_out}; Range(&vals, 0, num_dims_out); AbstractTensorHandle* sum_dims_raw = nullptr; TF_RETURN_IF_ERROR(TestTensorHandleWithDims<int32_t, TF_INT32>( ctx, vals.data(), vals_shape, 1, &sum_dims_raw)); sum_dims.reset(sum_dims_raw); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 7.3K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/tape/tape_operation.cc
const int64_t** dims, const int* num_dims, int num_values) { std::unique_ptr<TensorShapeProto[]> proto(new TensorShapeProto[num_values]); for (int i = 0; i < num_values; ++i) { const auto num_dims_i = num_dims[i]; if (num_dims_i > TensorShape::MaxDimensions()) { return errors::InvalidArgument(
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Tue Jun 07 01:53:35 GMT 2022 - 9K bytes - Viewed (1) -
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]; memcpy(shape.dims, dims, sizeof(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) -
tensorflow/c/eager/gradients.cc
const int64_t** dims, const int* num_dims, int num_values, ForwardOperation* forward_op_) { std::unique_ptr<TensorShapeProto[]> proto(new TensorShapeProto[num_values]); for (int i = 0; i < num_values; ++i) { const auto num_dims_i = num_dims[i]; if (num_dims_i > TensorShape::MaxDimensions()) { return errors::InvalidArgument(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 19.3K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/grad_test_helper.cc
auto s = GetValue(t, &analytical_tensor); ASSERT_EQ(errors::OK, s.code()) << s.message(); int64_t num_elem_analytical = 1; auto num_dims_analytical = TF_NumDims(analytical_tensor); ASSERT_EQ(dims.size(), num_dims_analytical); for (int j = 0; j < num_dims_analytical; j++) { auto dim_analytical = TF_Dim(analytical_tensor, j); ASSERT_EQ(dims[j], dim_analytical); num_elem_analytical *= dim_analytical; }
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test_util.h
int num_dims); // Get a Matrix TensorHandle with given float values and dimensions TFE_TensorHandle* TestTensorHandleWithDimsFloat(TFE_Context* ctx, float data[], int64_t dims[], int num_dims); // Get a Matrix TensorHandle with given int values and dimensions
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Jul 17 23:43:59 GMT 2023 - 7.7K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/tape/tape_operation.h
Status SetAttrBool(const char* attr_name, bool value) override; Status SetAttrType(const char* attr_name, DataType value) override; Status SetAttrShape(const char* attr_name, const int64_t* dims, const int num_dims) override; Status SetAttrFunction(const char* attr_name, const AbstractOperation* value) override; Status SetAttrFunctionName(const char* attr_name, const char* value,
C - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Sep 23 23:12:39 GMT 2020 - 3.7K bytes - Viewed (1) -
tensorflow/c/eager/c_api_unified_experimental_graph.cc
DCHECK(shape != nullptr); TF_Status status; int num_dims = TF_GraphGetTensorNumDims(graph_, output_, &status); DCHECK_GE(num_dims, -1); TF_RETURN_IF_ERROR(StatusFromTF_Status(&status)); if (num_dims == kUnknownRank) { return absl::OkStatus(); } std::vector<int64_t> dims(num_dims, kUnknownDim); TF_GraphGetTensorShape(graph_, output_,
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_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/eager/c_api_unified_experimental_test.cc
// Build an abstract input tensor. int64_t dims[] = {2, 2}; // Matrices will be 2 x 2 int num_dims = sizeof(dims) / sizeof(dims[0]); float vals[] = {0.0f, 0.0f, 0.0f, 0.0f}; TFE_Context* eager_ctx = TF_ExecutionContextGetTFEContext(ctx, status.get()); TFE_TensorHandle* t = TestMatrixTensorHandleWithInput(eager_ctx, vals, dims, num_dims); TF_AbstractTensor* at = TF_CreateAbstractTensorFromEagerTensor(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri May 19 21:44:52 GMT 2023 - 39.1K bytes - Viewed (0)