Add risc concat op register.
PiperOrigin-RevId: 343093412 Change-Id: I6feee4c49158245aacd377849204353cdd5e3c86
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op {
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graph_op_name: "RiscConcat"
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visibility: HIDDEN
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}
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@ -27,6 +27,16 @@ tf_kernel_library(
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],
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],
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)
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)
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tf_kernel_library(
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name = "risc_concat_op",
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srcs = ["risc_concat_op.cc"],
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deps = [
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"//tensorflow/core:framework",
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"//tensorflow/core:lib",
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"//tensorflow/core:lib_internal",
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],
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)
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tf_kernel_library(
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tf_kernel_library(
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name = "risc_conv_op",
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name = "risc_conv_op",
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srcs = ["risc_conv_op.cc"],
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srcs = ["risc_conv_op.cc"],
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46
tensorflow/core/kernels/risc/experimental/risc_concat_op.cc
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46
tensorflow/core/kernels/risc/experimental/risc_concat_op.cc
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/* Copyright 2020 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/core/framework/op.h"
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#include "tensorflow/core/framework/op_kernel.h"
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#include "tensorflow/core/framework/register_types.h"
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namespace tensorflow {
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namespace risc {
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namespace experimental {
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template <typename T>
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class RiscConcatOp : public OpKernel {
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public:
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explicit RiscConcatOp(OpKernelConstruction* ctx) : OpKernel(ctx) {}
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void Compute(OpKernelContext* ctx) override {
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// TODO(b/171294012): Implement RiscConcat op.
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}
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};
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#define REGISTER_CPU(T) \
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REGISTER_KERNEL_BUILDER( \
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Name("RiscConcat").Device(DEVICE_CPU).TypeConstraint<T>("T"), \
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RiscConcatOp<T>);
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REGISTER_CPU(bfloat16);
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REGISTER_CPU(Eigen::half);
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REGISTER_CPU(float);
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REGISTER_CPU(double);
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} // namespace experimental
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} // namespace risc
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} // namespace tensorflow
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@ -39,6 +39,15 @@ REGISTER_OP("RiscBroadcast")
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.Attr("Tidx: {int32, int64} = DT_INT32")
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.Attr("Tidx: {int32, int64} = DT_INT32")
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.SetShapeFn(shape_inference::UnknownShape);
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.SetShapeFn(shape_inference::UnknownShape);
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REGISTER_OP("RiscConcat")
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.Input("values: N * T")
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.Input("axis: Tidx")
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.Output("output: T")
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.Attr("N: int >= 2")
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.Attr("T: type")
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.Attr("Tidx: {int32, int64} = DT_INT32")
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.SetShapeFn(shape_inference::ConcatV2Shape);
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// TODO(b/171294012): change shape function.
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// TODO(b/171294012): change shape function.
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REGISTER_OP("RiscConv")
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REGISTER_OP("RiscConv")
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.Input("input: T")
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.Input("input: T")
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@ -35,6 +35,13 @@ def _RiscBroadcastGrad(_, grad):
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return None, None
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return None, None
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@ops.RegisterGradient("RiscConcat")
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def _RiscConcatGrad(_, grad):
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# pylint: disable=unused-argument
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# TODO(b/171294012): Implement gradient of RISC with RISC ops.
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return None, None
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@ops.RegisterGradient("RiscConv")
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@ops.RegisterGradient("RiscConv")
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def _RiscConvGrad(_, grad):
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def _RiscConvGrad(_, grad):
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# pylint: disable=unused-argument
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# pylint: disable=unused-argument
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@ -38,6 +38,10 @@ def risc_broadcast(x, shape, name='RISC_BROADCAST'):
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return gen_risc_ops.risc_broadcast(x, shape, name=name)
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return gen_risc_ops.risc_broadcast(x, shape, name=name)
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def risc_concat(x, axis, name='RISC_CONCAT'):
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return gen_risc_ops.risc_concat(x, axis, name=name)
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def risc_conv(x,
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def risc_conv(x,
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kernel,
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kernel,
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strides,
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strides,
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