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Results 51 - 60 of 125 for CONV (0.08 sec)
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tensorflow/compiler/mlir/lite/stablehlo/tests/compose-uniform-quantized-type.mlir
// CHECK: %[[CONV:.*]] = stablehlo.convolution(%[[QUANT_ARG]], %[[FILTER]]) {{.*}} : (tensor<1x3x3x4x!quant.uniform<i8:f32, {{.*}}>>, tensor<3x3x4x4x!quant.uniform<i8:f32:3, {{.*}}>>) -> tensor<1x3x3x4x!quant.uniform<i8:f32, {{.*}}>> // CHECK: %[[DEQUANT:.*]] = stablehlo.uniform_dequantize %[[CONV]] : (tensor<1x3x3x4x!quant.uniform<i8:f32, {{.*}}>>) -> tensor<1x3x3x4xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 37K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/transforms/device_transform_patterns.cc
weight_new_shape, &rewriter); // Replace the fc with conv. // The output would be [1, 1, width, output]. auto conv_output_type = RankedTensorType::get({1, 1, width, output_size}, output_type.getElementType()); auto conv = rewriter.create<TFL::Conv2DOp>( fc_op.getLoc(), conv_output_type, reshaped_input, reshaped_weight,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 25.4K bytes - Viewed (0) -
src/cmd/vendor/golang.org/x/tools/go/analysis/passes/cgocall/cgocall.go
reportf(arg.Pos(), "possibly passing Go type with embedded pointer to C") break } // Check for passing the address of a bad type. if conv, ok := arg.(*ast.CallExpr); ok && len(conv.Args) == 1 && isUnsafePointer(info, conv.Fun) { arg = conv.Args[0] } if u, ok := arg.(*ast.UnaryExpr); ok && u.Op == token.AND { if !typeOKForCgoCall(cgoBaseType(info, u.X), make(map[types.Type]bool)) {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Oct 19 23:33:33 UTC 2023 - 11.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/quantize_patterns.td
// point constant. def : Pat<(TFL_DequantizeOp (TFL_QuantizeOp (Arith_ConstantOp F32ElementsAttr:$cst), $qt)), (TFL_ConstOp $cst)>; // Transpose conv supports hybrid computation with quantized weights. def FoldQuantWeightsIntoTposeConv : Pat< (TFL_TransposeConvOp $output_shape, (TFL_DequantizeOp $quant_weights), $quant_input,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 23:10:13 UTC 2024 - 2.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/quantize_preprocess.cc
mlir::mhlo::createLegalizeDotToDotGeneralPass()); // Unfuse mhlo BatchNorm to primitive ops. pm.addNestedPass<mlir::func::FuncOp>(mlir::odml::createUnfuseBatchNormPass()); // Fuse Conv + Mul to Conv. pm.addNestedPass<mlir::func::FuncOp>(mlir::odml::createFuseConvolutionPass()); // Fold broadcast_in_dim + Mul. pm.addNestedPass<mlir::func::FuncOp>(mlir::odml::createFoldBroadcastPass());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 12:49:45 UTC 2024 - 9.8K bytes - Viewed (0) -
src/compress/gzip/issue14937_test.go
// has a zero MTIME. This is a requirement for the Debian maintainers // to be able to have deterministic packages. // // To patch a .gz file, use the following command: // // $ dd if=/dev/zero bs=1 seek=4 count=4 conv=notrunc of=filename.gz // // See https://golang.org/issue/14937. func TestGZIPFilesHaveZeroMTimes(t *testing.T) { // To avoid spurious false positives due to untracked GZIP files that
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed Apr 10 16:37:53 UTC 2024 - 2K bytes - Viewed (0) -
src/encoding/base64/base64_test.go
got := tt.enc.EncodeToString([]byte(p.decoded)) testEqual(t, "Encode(%q) = %q, want %q", p.decoded, got, tt.conv(p.encoded)) dst := tt.enc.AppendEncode([]byte("lead"), []byte(p.decoded)) testEqual(t, `AppendEncode("lead", %q) = %q, want %q`, p.decoded, string(dst), "lead"+tt.conv(p.encoded)) } } } func TestEncoder(t *testing.T) { for _, p := range pairs { bb := &strings.Builder{}
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Sun Sep 03 18:57:29 UTC 2023 - 15.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization.td
(tensor<64x3x3x3x!quant.uniform<i8<-127:127>:f32, 1.000000e+00>>) -> tensor<64x3x3x3xf32> %conv = "tfl.conv_2d"(%input_act, %w, %bias) but if it is supported, it will be rewritten as: %q_w = "tfl.pseudo_qconst"() { qtype = tensor<64x3x3x3x!quant.uniform<i8<-127:127>:f32, 1.000000e+00>> %conv = "tfl.conv_2d"(%input_act, %q_w, %bias)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 05 07:39:40 UTC 2024 - 8.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf_optimize.mlir
// CHECK-SAME: [1.300000e+01, 2.800000e+01], [1.500000e+01, 3.200000e+01], [1.700000e+01, 3.600000e+01] // CHECK: %[[CONV:.*]] = "tf.Conv2D"(%arg0, %[[CST]]) <{data_format = "NHWC", dilations = [1, 2, 3, 1], explicit_paddings = [], padding = "SAME", strides = [1, 4, 5, 1], use_cudnn_on_gpu = true}> // CHECK: return %[[CONV]] : tensor<1x28x23x2xf32> } // CHECK-LABEL: @notfuseMulIntoConv2d // filter and multiply are not broadcastable
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 9.5K bytes - Viewed (0) -
tensorflow/c/experimental/grappler/grappler_test.cc
ASSERT_EQ(status.message(), "'optimize_func' field in TP_Optimizer must be set."); } TEST(TF_GrapplerItem, NodesToPreserve) { GrapplerItem item; item.fetch = std::vector<string>{"Conv", "BiasAdd"}; std::unordered_set<string> nodes_preserved = item.NodesToPreserve(); TF_GrapplerItem* c_item = reinterpret_cast<TF_GrapplerItem*>(&item); int list_total_size = 0;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 13 22:30:58 UTC 2023 - 11.6K bytes - Viewed (0)