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tensorflow/c/experimental/gradients/nn_grad.cc
ImmediateTensorHandlePtr dim(imm_ctx->CreateLocalHandle(minus_1.get())); AbstractTensorHandle* expand_dims_outputs; TF_RETURN_IF_ERROR( ops::ExpandDims(ctx, vec, dim.get(), &expand_dims_outputs, "ExpandDims")); TF_RETURN_IF_ERROR( ops::Mul(ctx, expand_dims_outputs, mat, &outputs[0], "Mul")); expand_dims_outputs->Unref(); return absl::OkStatus(); } class SparseSoftmaxCrossEntropyWithLogitsGradientFunction
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5.7K bytes - Viewed (0) -
tensorflow/c/c_api.cc
static char empty; int64_t nelems = 1; std::vector<int64_t> dims; dims.reserve(shape.dims()); for (int i = 0; i < shape.dims(); ++i) { dims.push_back(shape.dim_size(i)); nelems *= shape.dim_size(i); } CHECK_EQ(nelems, 0); return TF_NewTensor( dtype, reinterpret_cast<const int64_t*>(dims.data()), shape.dims(), reinterpret_cast<void*>(&empty), 0, [](void*, size_t, void*) {}, nullptr);
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/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/dlpack_test.cc
TestHandleFromDLPack(status, ctx, {4}, {}); TestHandleFromDLPack(status, ctx, {4}, {1}); TestHandleFromDLPack(status, ctx, {4, 3, 2}, {}); TestHandleFromDLPack(status, ctx, {4, 3, 2}, {6, 2, 1}); // Test that dims with size=1 can have any stride. TestHandleFromDLPack(status, ctx, {1}, {1}); TestHandleFromDLPack(status, ctx, {1}, {0}); TestHandleFromDLPack(status, ctx, {4, 1, 2}, {2, 1, 1});
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Jun 30 03:04:46 GMT 2023 - 4.4K 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) -
tensorflow/c/experimental/gradients/grad_test_helper.cc
absl::Span<const int64_t> dims, double abs_error) { TF_Tensor* analytical_tensor; 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++) {
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/experimental/gradients/math_grad_test.cc
} TEST_P(CppGradients, TestMatMulGrad) { // TODO(vnvo2409): Figure out why `gradient_checker` does not work very // well with `MatMul` and remove `TestMatMul*` in // `mnist_gradients_test` when done. GTEST_SKIP(); float A_vals[] = {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f}; int64_t A_dims[] = {3, 3}; AbstractTensorHandlePtr A; { AbstractTensorHandle* A_raw;
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Thu Apr 13 17:32:14 GMT 2023 - 16.3K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib_test.cc
ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); TFE_OpSetAttrType(handle_op.get(), "dtype", TF_FLOAT); TFE_OpSetAttrShape(handle_op.get(), "shape", /*dims=*/nullptr, /*num_dims=*/0, status.get()); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); auto outputs = parallel_device.Execute(context.get(), std::vector<ParallelTensor*>(),
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/gradients.cc
num_dims_i, " dimensions which is over the limit of ", TensorShape::MaxDimensions(), ".")); } if (num_dims_i < 0) { proto[i].set_unknown_rank(true); } else { const int64_t* dims_i = dims[i]; auto proto_i = &proto[i]; for (int d = 0; d < num_dims_i; ++d) { proto_i->add_dim()->set_size(dims_i[d]); } } }
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/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,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Oct 15 03:16:52 GMT 2021 - 17.8K bytes - Viewed (2)