d27151c789
Changed Softmax/FullyConnected/Conv barrier definition. PiperOrigin-RevId: 304517962 Change-Id: Iedf1fb2c4d810abd5a14dbe245825aafe7a8ceb9
92 lines
2.0 KiB
C++
92 lines
2.0 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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#ifndef TENSORFLOW_LITE_DELEGATES_GPU_METAL_ENVIRONMENT_H_
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#define TENSORFLOW_LITE_DELEGATES_GPU_METAL_ENVIRONMENT_H_
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#include <string>
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namespace tflite {
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namespace gpu {
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namespace metal {
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enum class Vendor {
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kUnknown,
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kApple,
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kIntel,
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kAMD,
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};
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enum class AppleGPU {
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kUnknown,
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kA7,
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kA8,
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kA8X,
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kA9,
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kA9X,
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kA10,
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kA10X,
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kA11,
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kA12,
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kA12X,
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kA12Z,
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kA13,
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};
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struct AppleGPUInfo {
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AppleGPUInfo() = default;
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explicit AppleGPUInfo(const std::string& device_name);
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AppleGPU gpu_type;
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bool IsLocalMemoryPreferredOverGlobal() const;
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bool IsBionic() const;
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// floating point rounding mode
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bool IsRoundToNearestSupported() const;
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// returns true if device have fixed wave size equal to 32
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bool IsWaveSizeEqualTo32() const;
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int GetComputeUnitsCount() const;
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};
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struct DeviceInfo {
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DeviceInfo() = default;
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explicit DeviceInfo(const std::string& device_name);
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Vendor vendor;
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AppleGPUInfo apple_info;
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bool IsIntelGPU() const;
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bool IsAppleGPU() const;
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bool IsAMDGPU() const;
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// floating point rounding mode
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bool IsRoundToNearestSupported() const;
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// returns true if device have fixed wave size equal to 32
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bool IsWaveSizeEqualTo32() const;
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int GetComputeUnitsCount() const;
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};
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} // namespace metal
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} // namespace gpu
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} // namespace tflite
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#endif // TENSORFLOW_LITE_DELEGATES_GPU_METAL_ENVIRONMENT_H_
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