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tensorflow/compiler/mlir/quantization/tensorflow/tests/prepare_quantize_drq.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 6.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/insert_quantized_functions.mlir
// CHECK-NOT: func private @internal_conv2d_fn // CHECK-NOT: func private @internal_matmul_fn // CHECK: func private @quantized_conv2d_with_bias_fn // CHECK-SAME: tf_quant.quantized_ops = ["Conv2D", "BiasAdd"] // CHECK: func private @quantized_conv2d_with_bias_and_relu_fn // CHECK: func private @quantized_conv2d_with_bias_and_relu6_fn // CHECK: func private @quantized_conv2d_fn
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Aug 29 01:13:58 UTC 2023 - 3.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize-dynamic-range.mlir
%b = arith.constant dense<-1.23697901> : tensor<64xf32> %conv = "tfl.conv_2d"(%0, %w, %b) {dilation_h_factor = 1 : i32, dilation_w_factor = 1 : i32, fused_activation_function = "NONE", padding = "SAME", stride_h = 2 : i32, stride_w = 2 : i32} : (tensor<1x224x224x3xf32>, tensor<64x3x3x3xf32>, tensor<64xf32>) -> tensor<1x112x112x64xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 38.2K bytes - Viewed (0) -
src/main/webapp/js/jquery-3.6.3.min.map
","statusText","finalText","crossDomain","host","hasContent","ifModified","headers","beforeSend","success","send","nativeStatusText","responses","isSuccess","response","modified","ct","finalDataType","firstDataType","ajaxHandleResponses","conv2","current","conv","dataFilter","throws","ajaxConvert","getJSON","getScript","text script","wrapAll","firstElementChild","wrapInner","htmlIsFunction","unwrap","visible","xhr","XMLHttpRequest","xhrSuccessStatus","0","1223","xhrSupported","cors","errorCallba...
Registered: Wed Jun 12 13:08:18 UTC 2024 - Last Modified: Fri Feb 17 12:13:41 UTC 2023 - 135.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-tf-with-allowing-bf16-and-f16-type-legalization.mlir
// CHECK-LABEL: conv_2d_bf16 func.func @conv_2d_bf16(%arg0 : tensor<256x32x32x3xbf16>, %arg1 : tensor<3x3x3x16xbf16>) -> tensor<256x8x7x16xbf16> { %0 = "tf.Conv2D"(%arg0, %arg1) {T = "tfdtype$DT_FLOAT", data_format = "NHWC", dilations = [1, 2, 3, 1], padding = "SAME", strides = [1, 4, 5, 1]} : (tensor<256x32x32x3xbf16>, tensor<3x3x3x16xbf16>) -> tensor<256x8x7x16xbf16>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 26 23:53:32 UTC 2022 - 2.2K bytes - Viewed (0) -
platforms/software/dependency-management/src/test/groovy/org/gradle/api/internal/artifacts/ivyservice/resolveengine/result/StreamingResolutionResultBuilderTest.groovy
conf1.outgoingEdges >> [dep(selector2, 2, 3)] def conf2 = node(2, "org", "dep1", "1.0") def selector3 = selector(12, "org", "dep3", "1.0") conf2.outgoingEdges >> [dep(selector3, 2, 4)] builder.start(root) builder.visitNode(root) builder.visitNode(conf1) builder.visitNode(conf2) builder.visitNode(node(3, "org", "dep2", "1.0"))
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Thu May 23 17:29:40 UTC 2024 - 11.5K bytes - Viewed (0) -
src/cmd/compile/internal/walk/compare.go
cmplw := ir.Node(ir.NewIndexExpr(base.Pos, cmpl, ir.NewInt(base.Pos, i))) cmplw = typecheck.Conv(cmplw, elemType) // convert to unsigned cmplw = typecheck.Conv(cmplw, convType) // widen cmprw := ir.Node(ir.NewIndexExpr(base.Pos, cmpr, ir.NewInt(base.Pos, i))) cmprw = typecheck.Conv(cmprw, elemType) cmprw = typecheck.Conv(cmprw, convType) // For code like this: uint32(s[0]) | uint32(s[1])<<8 | uint32(s[2])<<16 ...
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed May 24 21:55:14 UTC 2023 - 16.2K bytes - Viewed (0) -
src/cmd/compile/internal/types/fmt.go
case fmtTypeID, fmtTypeIDName: if verb == 'S' { tconv2(b, t.Elem(), 'S', mode, visited) return } } tconv2(b, t.Elem(), 'v', mode, visited) case TARRAY: b.WriteByte('[') b.WriteString(strconv.FormatInt(t.NumElem(), 10)) b.WriteByte(']') tconv2(b, t.Elem(), 0, mode, visited) case TSLICE: b.WriteString("[]") tconv2(b, t.Elem(), 0, mode, visited) case TCHAN:
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Sep 12 15:41:17 UTC 2023 - 15.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/fuse_mhlo_convolution.mlir
// CHECK: %[[CONV:.+]] = mhlo.convolution(%[[INPUT]], %[[NEW_FILTER]]) dim_numbers = [b, 0, 1, f]x[0, 1, i, o]->[b, 0, 1, f], window = {stride = [1, 1], pad = {{\[\[}}0, 0], [0, 0]], rhs_dilate = [1, 1]} {batch_group_count = 1 : i64, feature_group_count = 1 : i64} : (tensor<?x256x256x3xf32>, tensor<1x1x3x2xf32>) -> tensor<?x256x256x2xf32> // CHECK: %[[SHAPE:.+]] = shape.shape_of %[[CONV]] : tensor<?x256x256x2xf32> -> tensor<4xindex>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 4.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/components/tf_to_stablehlo.mlir
// CHECK-DAG: %[[CONV:.*]] = stablehlo.convolution(%[[ARG]], %[[CONST_1]]) {{.*}} : (tensor<1x3x4x3xf32>, tensor<2x3x3x2xf32>) -> tensor<1x3x2x2xf32> // CHECK-DAG: %[[BROADCAST:.*]] = stablehlo.broadcast_in_dim %[[CONST_0]], dims = [3] : (tensor<2xf32>) -> tensor<1x3x2x2xf32> // CHECK-DAG: %[[ADD:.*]] = stablehlo.add %[[CONV]], %[[BROADCAST]] : tensor<1x3x2x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 08 20:05:12 UTC 2024 - 13.6K bytes - Viewed (0)