diff --git a/imperative/src/impl/transformations/eval.cpp b/imperative/src/impl/transformations/eval.cpp
new file mode 100644
index 0000000000000000000000000000000000000000..289975a38e374d2b92c9100af29104d6ed763c19
--- /dev/null
+++ b/imperative/src/impl/transformations/eval.cpp
@@ -0,0 +1,107 @@
+/**
+ * \file imperative/src/impl/transformations/trace.cpp
+ * MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
+ *
+ * Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ */
+
+#include "megbrain/imperative/transformations/eval.h"
+#include "megbrain/imperative/transformations/grad.h"
+
+namespace mgb {
+namespace imperative {
+
+std::vector<ValueRef> InterpreterTransformation::apply_transformation(
+        const Operator& op, Span<ValueRef> inputs) {
+    if (auto* op_val = op.as<ApplyOp>()) {
+        if (op_val->op().same_type<FastpathCopy>()) {
+            return {inputs[0]};
+        }
+        SmallVector<Handle> input_handles;
+        SmallVector<Handle> output_handles;
+        CleanupGuard _{[&] {
+            for (auto handle : output_handles) {
+                if (handle) {
+                    m_channel->del(handle);
+                }
+            }
+        }};
+        for (auto input : inputs) {
+            input_handles.push_back(*input.cast<InterpreterValue>().handle());
+        }
+        output_handles =
+                m_channel->apply_op(op_val->op().shared_from_this(), input_handles);
+        std::vector<ValueRef> outputs;
+        for (auto& handle : output_handles) {
+            outputs.push_back(InterpreterValue::make(share_handle(handle)));
+            handle = nullptr;
+        }
+        return outputs;
+    } else if (auto* get_attr = op.as<GetAttr>()) {
+        Handle handle = *inputs[0].cast<InterpreterValue>().handle();
+        ValueRef output;
+        switch (get_attr->attr()) {
+            case GetAttr::DType:
+                output = DTypeValue::make(m_channel->get_dtype(handle));
+                break;
+            case GetAttr::Shape:
+                output = ShapeValue::make(
+                        ValueShape::from(m_channel->get_shape(handle)));
+                break;
+            case GetAttr::Device:
+                output = CompNodeValue::make(m_channel->get_device(handle));
+                break;
+            case GetAttr::Value:
+                output = HostValue::make(m_channel->get_value(handle));
+                break;
+            case GetAttr::Data:
+                output = DeviceValue::make(m_channel->get_dev_tensor(handle));
+                break;
+            default:
+                mgb_throw(
+                        MegBrainError, "Interpreter: malformed GetAttr: %s",
+                        op.to_string().c_str());
+        }
+        return {output};
+    } else if (auto* create_tensor = op.as<CreateTensor>()) {
+        auto args = create_tensor->parse(inputs);
+        if (!args.device) {
+            // implies H2D
+            mgb_assert(args.host, "neither host and device value is valid");
+            return {InterpreterValue::make(share_handle(
+                    m_channel->put(*args.host, args.kind == CreateTensor::Unique)))};
+        } else {
+            return {InterpreterValue::make(share_handle(m_channel->put(
+                    *args.device, args.host ? *args.host : HostTensorND())))};
+        }
+    } else if (auto* dtr_command = op.as<DTRCommand>()) {
+        auto handle = *inputs[0].cast<InterpreterValue>().handle();
+        switch (dtr_command->kind()) {
+            case DTRCommand::Drop:
+                m_channel->drop(handle);
+                break;
+            default:
+                mgb_throw(AssertionError, "unknown DTRCommand %d", dtr_command->kind());
+        }
+        return {};
+    } else if (auto* rename_value = op.as<RenameValue>()) {
+        auto& input = inputs[0].cast<InterpreterValue>();
+        return {InterpreterValue::make(input.handle(), rename_value->name())};
+    } else if (op.is<GetName>()) {
+        auto name = inputs[0].cast<InterpreterValue>().name();
+        if (!name.empty()) {
+            return {StringValue::make(name)};
+        } else {
+            return {ValueRef()};
+        }
+    } else {
+        return imperative::apply(op, inputs);
+    }
+}
+
+}  // namespace imperative
+}  // namespace mgb
diff --git a/imperative/src/include/megbrain/imperative/transformations/eval.h b/imperative/src/include/megbrain/imperative/transformations/eval.h
new file mode 100644
index 0000000000000000000000000000000000000000..a35c74de6a66a4485839b8d1cd2250e3927e81e4
--- /dev/null
+++ b/imperative/src/include/megbrain/imperative/transformations/eval.h
@@ -0,0 +1,95 @@
+/**
+ * \file imperative/src/include/megbrain/imperative/eval.h
+ * MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
+ *
+ * Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ */
+
+#pragma once
+
+#include "megbrain/imperative/dispatch.h"
+#include "megbrain/imperative/interpreter.h"
+#include "megbrain/imperative/ops/autogen.h"
+#include "megbrain/imperative/utils/helper.h"
+
+namespace mgb::imperative {
+
+struct InterpreterInfo {
+public:
+    using Handle = interpreter::Interpreter::Handle;
+    using Channel = interpreter::Interpreter::Channel;
+
+private:
+    std::shared_ptr<Handle> m_handle = nullptr;
+    std::string m_name;
+
+public:
+    InterpreterInfo() = default;
+    InterpreterInfo(std::shared_ptr<Handle> handle, std::string name = {})
+            : m_handle(handle), m_name(name) {}
+
+    std::shared_ptr<Handle> handle() const { return m_handle; }
+
+    std::string name() const { return m_name; }
+};
+
+class InterpreterValue final
+        : public MixinValueImpl<InterpreterValue, InterpreterInfo> {
+public:
+    using MixinValueImpl::MixinValueImpl;
+
+    std::string to_string() const override {
+        return ssprintf(
+                "Handle{ptr=%p, name=%s}", handle().get(),
+                imperative::quoted(name()).c_str());
+    }
+};
+
+/**
+ * \brief interpret operations with interpreter
+ *
+ * This is the most basic and simplest transformation. It read operation requests and
+ * forwards them to interpreter. Not all tensor requests would be handled by it,
+ * some were resolved by CompiledTransformation or LazyEvalTransformation.
+ */
+class InterpreterTransformation final : public Transformation {
+public:
+    using Interpreter = interpreter::Interpreter;
+    using Handle = Interpreter::Handle;
+    using Channel = Interpreter::Channel;
+
+private:
+    std::unique_ptr<Channel> m_channel;
+
+public:
+    explicit InterpreterTransformation(std::unique_ptr<Channel> channel)
+            : m_channel{std::move(channel)} {}
+
+    Channel* channel() { return m_channel.get(); }
+
+    std::vector<ValueRef> apply_transformation(
+            const Operator& op, Span<ValueRef> inputs) override;
+
+    ValueRef unwrap(ValueRef value) override {
+        mgb_assert(!value.is<InterpreterValue>());
+        return value;
+    }
+
+    std::string name() const override { return "InterpreterTransformation"; }
+
+    std::shared_ptr<Handle> share_handle(Handle handle) {
+        return std::shared_ptr<Handle>(
+                new Handle(handle), [channel = m_channel.get()](Handle* ptr) {
+                    if (ptr) {
+                        channel->del(*ptr);
+                        delete ptr;
+                    }
+                });
+    }
+};
+
+}  // namespace mgb::imperative