97 lines
3.3 KiB
C++
97 lines
3.3 KiB
C++
/* Copyright 2019 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#include "tensorflow/lite/delegates/gpu/gl/kernels/reshape.h"
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#include <algorithm>
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#include <cstdint>
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#include <cstring>
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#include <string>
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#include <vector>
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#include "absl/memory/memory.h"
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#include "tensorflow/lite/delegates/gpu/common/status.h"
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#include "tensorflow/lite/delegates/gpu/common/types.h"
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namespace tflite {
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namespace gpu {
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namespace gl {
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namespace {
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class Reshape : public NodeShader {
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public:
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absl::Status GenerateCode(const GenerationContext& ctx,
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GeneratedCode* generated_code) const final {
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if (ctx.input_shapes[0][1] * ctx.input_shapes[0][2] *
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ctx.input_shapes[0][3] !=
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ctx.output_shapes[0][1] * ctx.output_shapes[0][2] *
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ctx.output_shapes[0][3]) {
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return absl::InvalidArgumentError(
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"Number of elements in input & output tensors don't match.");
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}
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const auto& attr = absl::any_cast<const ReshapeAttributes&>(ctx.op_attr);
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if (attr.new_shape.h != ctx.output_shapes[0][1] ||
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attr.new_shape.w != ctx.output_shapes[0][2] ||
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attr.new_shape.c != ctx.output_shapes[0][3]) {
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return absl::InvalidArgumentError(
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"Dimensions for output does not match new_shape attribute");
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}
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std::string code = R"(
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int input_ch_w = $input_channels$ * $input_data_0_w$;
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int output_ch_w = $output_channels$ * $output_data_0_w$;
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for (int i = 0; i < 4; ++i) {
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int dst_channel = gid.z * 4 + i;
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if (dst_channel >= $output_channels$) {
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continue;
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}
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int p = dst_channel + $output_channels$ * gid.x + output_ch_w * gid.y;
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int src_y = p / input_ch_w;
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int src_x = (p % input_ch_w) / $input_channels$;
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int src_z = (p % input_ch_w) % $input_channels$;
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int src_layer = src_z / 4;
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int src_channel = src_z % 4;
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value_0[i] = $input_data_0[src_x, src_y, src_layer]$[src_channel];
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}
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)";
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*generated_code = {
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/*parameters=*/{
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{"input_data_0_w", static_cast<int>(ctx.input_shapes[0][2])},
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{"input_channels", static_cast<int>(ctx.input_shapes[0][3])},
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{"output_data_0_w", static_cast<int>(ctx.output_shapes[0][2])},
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{"output_channels", static_cast<int>(ctx.output_shapes[0][3])},
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},
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/*objects=*/{},
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/*shared_variables=*/{},
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/*workload=*/uint3(),
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/*workgroup=*/uint3(),
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/*source_code=*/std::move(code),
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/*input=*/IOStructure::ONLY_DEFINITIONS,
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/*output=*/IOStructure::AUTO,
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};
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return absl::OkStatus();
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}
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};
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} // namespace
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std::unique_ptr<NodeShader> NewReshapeNodeShader() {
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return absl::make_unique<Reshape>();
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}
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} // namespace gl
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} // namespace gpu
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} // namespace tflite
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