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Results 1 - 10 of 55 for B_dims (0.14 sec)
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tensorflow/c/eager/gradient_checker_test.cc
int64_t A_dims[] = {2, 2}; AbstractTensorHandlePtr A; { AbstractTensorHandle* A_raw; absl::Status s = TestTensorHandleWithDims<float, TF_FLOAT>( ctx_.get(), A_vals, A_dims, 2, &A_raw); ASSERT_EQ(errors::OK, s.code()) << s.message(); A.reset(A_raw); } float B_vals[] = {.5f, -1.0f, 1.0f, 1.0f}; int64_t B_dims[] = {2, 2}; AbstractTensorHandlePtr B; {
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Sat Oct 12 05:11:17 UTC 2024 - 6.5K bytes - Viewed (0) -
tensorflow/c/c_api_test.cc
const int num_dims = 2; int64_t* dims = new int64_t[num_dims]; int64_t num_elements = 1; dims[0] = batch_size; dims[1] = 1; for (int64_t i = 0; i < num_dims; ++i) { num_elements *= dims[i]; } TF_Tensor* t = TF_AllocateTensor(TF_STRING, dims, num_dims, sizeof(TF_TString) * num_elements); delete[] dims;
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Sat Oct 12 16:27:48 UTC 2024 - 97K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test_util.cc
constexpr int64_t dims[] = {100, 100}; constexpr int num_elements = dims[0] * dims[1]; float data[num_elements]; for (int i = 0; i < num_elements; ++i) { data[i] = 1.0f; } TF_Status* status = TF_NewStatus(); TF_Tensor* t = TFE_AllocateHostTensor(ctx, TF_FLOAT, &dims[0], sizeof(dims) / sizeof(int64_t), status);
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Wed Feb 21 22:37:46 UTC 2024 - 23.5K 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);
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Sat Oct 12 05:11:17 UTC 2024 - 39.1K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.cc
std::vector<DimensionHandle> dims; const TF_ShapeAndType& input_shape = input_shapes->items[i]; if (input_shape.num_dims == InferenceContext::kUnknownRank) { c.SetInput(i, c.UnknownShape()); continue; } dims.reserve(input_shape.num_dims); for (int j = 0; j < input_shape.num_dims; ++j) { dims.push_back(c.MakeDim(input_shape.dims[j])); } c.SetInput(i, c.MakeShape(dims));
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Sat Oct 12 16:27:48 UTC 2024 - 29.5K bytes - Viewed (0) -
tensorflow/c/c_api_experimental_test.cc
int num_dims = output_shapes->items[0].num_dims; int64_t* dims = output_shapes->items[0].dims; if (!expected_shape.has_value()) { EXPECT_EQ(num_dims, -1); EXPECT_EQ(dims, nullptr); return; } EXPECT_EQ(num_dims, expected_shape->size()); for (size_t i = 0; i < num_dims; ++i) { EXPECT_EQ(dims[i], (*expected_shape)[i]); }
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Tue Jan 17 22:27:52 UTC 2023 - 13.1K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental_graph.cc
return absl::OkStatus(); } std::vector<int64_t> dims(num_dims, kUnknownDim); TF_GraphGetTensorShape(graph_, output_, reinterpret_cast<int64_t*>(dims.data()), num_dims, &status); TF_RETURN_IF_ERROR(StatusFromTF_Status(&status)); TF_RETURN_IF_ERROR(tensorflow::TensorShapeUtils::MakeShape(dims, shape)); return absl::OkStatus(); }
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Sat Oct 12 05:11:17 UTC 2024 - 15.7K bytes - Viewed (0) -
tensorflow/c/c_test_util.cc
} TF_Tensor* Int8Tensor(const int64_t* dims, int num_dims, const char* values) { int64_t num_values = 1; for (int i = 0; i < num_dims; ++i) { num_values *= dims[i]; } TF_Tensor* t = TF_AllocateTensor(TF_INT8, dims, num_dims, sizeof(char) * num_values); memcpy(TF_TensorData(t), values, sizeof(char) * num_values); return t; } TF_Tensor* Int32Tensor(const int64_t* dims, int num_dims,
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Fri Oct 15 03:16:52 UTC 2021 - 17.8K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test_util.h
float data[], int64_t dims[], 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
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Mon Jul 17 23:43:59 UTC 2023 - 7.7K bytes - Viewed (0) -
tensorflow/c/c_test_util.h
TF_Tensor* BoolTensor(int32_t v); // Create a tensor with values of type TF_INT8 provided by `values`. TF_Tensor* Int8Tensor(const int64_t* dims, int num_dims, const char* values); // Create a tensor with values of type TF_INT32 provided by `values`. TF_Tensor* Int32Tensor(const int64_t* dims, int num_dims, const int32_t* values); // Create 1 dimensional tensor with values from `values`
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Thu Aug 09 01:06:53 UTC 2018 - 6K bytes - Viewed (0)