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tensorflow/compiler/jit/increase_dynamism_for_auto_jit_pass.cc
std::vector<int64_t> size_as_vector; }; std::vector<int64_t> IntTensorAsVector(const Tensor& t) { DCHECK(t.dtype() == DT_INT32 || t.dtype() == DT_INT64); std::vector<int64_t> result; result.reserve(t.NumElements()); for (int i = 0; i < t.NumElements(); i++) { int64_t element = t.dtype() == DT_INT32 ? static_cast<int64_t>(t.flat<int32>()(i)) : t.flat<int64_t>()(i);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 12 06:33:33 UTC 2024 - 13.8K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_device_context.cc
shape_determination_fns_.layout_preference_fn( device_tensor->shape(), device_tensor->dtype(), std::nullopt); Status status = [&]() -> Status { TF_ASSIGN_OR_RETURN(xla::Shape shape, shape_determination_fns_.shape_representation_fn( device_tensor->shape(), device_tensor->dtype(), /*fast_mem=*/false, layout_preference));
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 00:36:08 UTC 2024 - 12.7K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_cluster_util_test.cc
FunctionDef make_ref_float = FunctionDefHelper::Define( "RefFloatFn", {}, {"r:float"}, {}, {{{"var"}, "VariableV2", {}, {{"dtype", DT_FLOAT}, {"shape", TensorShape({})}}}, {{"r"}, "Identity", {"var"}, {{"T", DT_FLOAT}}}}); *fdef_lib->add_function() = make_ref_float; } void AddRegularFunctionFunctionDef(FunctionDefLibrary* fdef_lib) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 09:53:30 UTC 2024 - 10.8K bytes - Viewed (0) -
tensorflow/c/experimental/next_pluggable_device/c_api.cc
const tensorflow::Tensor& arg_tensor = cc_ctx->input(index); absl::Status cc_status; if (arg_tensor.dtype() != tensorflow::DT_RESOURCE) { cc_status = absl::InvalidArgumentError( absl::StrCat("Trying to obtain resource handle from Input[", index, "], which is not type DT_RESOURCE.")); status->status = cc_status; return nullptr; } const tensorflow::ResourceHandle& handle =
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 22 05:48:24 UTC 2024 - 13.9K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test_util.cc
TF_Status* status = TF_NewStatus(); // Create the variable handle. TFE_Op* op = TFE_NewOp(ctx, "VarHandleOp", status); if (TF_GetCode(status) != TF_OK) return nullptr; TFE_OpSetAttrType(op, "dtype", TF_FLOAT); TFE_OpSetAttrShape(op, "shape", {}, 0, status); TFE_OpSetAttrString(op, "container", "localhost", 0); TFE_OpSetAttrString(op, "shared_name", "", 0); if (!device_name.empty()) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 22:37:46 UTC 2024 - 23.5K bytes - Viewed (0) -
tensorflow/c/experimental/saved_model/core/saved_model_utils.cc
tensorflow::TensorShape shape(variable.shape()); tensorflow::DataType dtype = variable.dtype(); std::vector<std::string> component_devices; for (const auto& component : variable.experimental_distributed_variable_components()) { component_devices.push_back(component.device()); } TF_RETURN_IF_ERROR(Variable::CreateUninitialized( ctx, dtype, shape, name,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jan 12 19:17:46 UTC 2023 - 24K bytes - Viewed (0) -
tensorflow/c/experimental/grappler/grappler_test.cc
tensorflow::OpInfo::TensorProperties in_props; Status s = tensorflow::BufferToMessage(in_props_buf[0], &in_props); TF_ASSERT_OK(s); EXPECT_EQ(DT_FLOAT, in_props.dtype()); EXPECT_FALSE(in_props.shape().unknown_rank()); EXPECT_EQ(2, in_props.shape().dim_size()); EXPECT_EQ(10, in_props.shape().dim(0).size()); EXPECT_EQ(1, in_props.shape().dim(1).size());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 13 22:30:58 UTC 2023 - 11.6K bytes - Viewed (0) -
tensorflow/cc/framework/cc_op_gen_util.cc
} strings::StrAppend(&ret, "}"); return ret; } string PrintTensor(const TensorProto& tensor_proto) { Tensor t(tensor_proto.dtype()); CHECK(t.FromProto(tensor_proto)); const int64_t num_elts = t.NumElements(); switch (t.dtype()) { case DT_FLOAT: return PrintArray(num_elts, t.flat<float>().data()); case DT_DOUBLE: return PrintArray(num_elts, t.flat<double>().data());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Feb 26 00:57:05 UTC 2024 - 25K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfr/passes/raise_to_tf.cc
} // Derive the output types. The result type is derived by using the // attributes attched to the result type of the signature. The attribute // value should be either in the attribute argument list or the derived // attribute from the input tensors. All the result type // are unranked, and shape inference should be applied afterwards. SmallVector<Type, 4> output_types;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 21.8K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.cc
} tensorflow::AbstractTensorInterface* t = tensorflow::unwrap(ctx)->CreateTensor( static_cast<tensorflow::DataType>(dtype), dimvec); if (t == nullptr) { status->status = tensorflow::errors::InvalidArgument("Unsupported dtype: ", dtype); return nullptr; } return new TF_Tensor{t}; } TFE_TensorHandle* TFE_NewTensorHandleFromTensor(TFE_Context* ctx, TF_Tensor* t,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 11 23:52:39 UTC 2024 - 35.9K bytes - Viewed (0)