wehub-resource-sync
33 lines
2.1 KiB
MLIR
33 lines
2.1 KiB
MLIR
// Copyright 2026 The TensorFlow Authors. All Rights Reserved.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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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// RUN: litert-opt %s -tfl-prepare-quantize -canonicalize -tfl-quantize -canonicalize -tfl-optimize -canonicalize | FileCheck %s
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// CHECK-LABEL: fuseMulIntoPerTensorConv2dWithQDQs
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func.func @fuseMulIntoPerTensorConv2dWithQDQs(%arg0: tensor<256x32x32x3xf32>) -> tensor<256x8x7x3xf32> {
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%cst = arith.constant dense<1.5> : tensor<3xf32>
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%cst_0 = arith.constant dense<[1.0, 2.0, 3.0]> : tensor<3xf32>
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%w = arith.constant dense<2.0> : tensor<3x3x3x3xf32>
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%q = "tfl.quantize"(%w) {qtype = tensor<3x3x3x3x!quant.uniform<i8:f32, 0.1:1>>} : (tensor<3x3x3x3xf32>) -> tensor<3x3x3x3x!quant.uniform<i8:f32, 0.1:1>>
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%dq = "tfl.dequantize"(%q) : (tensor<3x3x3x3x!quant.uniform<i8:f32, 0.1:1>>) -> tensor<3x3x3x3xf32>
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%0 = "tfl.conv_2d"(%arg0, %dq, %cst_0) {dilation_h_factor = 2 : i32, dilation_w_factor = 3 : i32, fused_activation_function = "NONE", padding = "SAME", stride_h = 4 : i32, stride_w = 5 : i32} : (tensor<256x32x32x3xf32>, tensor<3x3x3x3xf32>, tensor<3xf32>) -> tensor<256x8x7x3xf32>
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%1 = "tfl.mul"(%0, %cst) {fused_activation_function = "NONE"} : (tensor<256x8x7x3xf32>, tensor<3xf32>) -> tensor<256x8x7x3xf32>
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func.return %1 : tensor<256x8x7x3xf32>
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// CHECK: %[[weight:.*]] = arith.constant dense<3.000000e+00> : tensor<3x3x3x3xf32>
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// CHECK: %[[bias:.*]] = arith.constant dense<[1.500000e+00, 3.000000e+00, 4.500000e+00]>
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// CHECK: %[[conv:.*]] = "tfl.conv_2d"(%arg0, %[[weight]], %[[bias]])
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// CHECK: return %[[conv]] : tensor<256x8x7x3xf32>
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}
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