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Results 121 - 130 of 135 for conv4 (5.54 sec)
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tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
// CHECK-DAG: %[[ONE:.*]] = mhlo.constant dense<1.000000e+00> : tensor<f32> // CHECK: %[[CONV:.*]] = mhlo.convert %arg0 : (tensor<3xi32>) -> tensor<3xi64> // CHECK: %[[F32:.*]] = "mhlo.rng"(%[[ZERO]], %[[ONE]], %[[CONV]]) {{.*UNIFORM.*}} -> tensor<12x?x64xf32> %0 = "tf.RandomUniform"(%arg0) : (tensor<3xi32>) -> tensor<12x?x64xf32> // CHECK: return %[[F32]]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/legalize_hlo.cc
(i != out_batch_dim && out_type.isDynamicDim(i))) { return false; } } } // All ones in "lhs_dilation" means this "mhlo.conv" op should be // converted to "tf.Conv2D" or "tf.DepthwiseConv2dNativeOp". auto lhs_dilation = conv_op.getLhsDilation().value(); if (!lhs_dilation.isSplat() || lhs_dilation.getSplatValue<int64_t>() != 1)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 154.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/optimize.mlir
// CHECK: %[[dq:.*]] = "tfl.dequantize"(%[[q]]) // CHECK: %[[conv:.*]] = "tfl.conv_2d"(%arg0, %[[dq]], %[[cst]]) // CHECK: return %[[conv]] : tensor<256x8x7x3xf32> } // CHECK-LABEL: @fuseMulIntoFullyConnectedWithOptionalAttribute
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 284.1K bytes - Viewed (0) -
src/cmd/compile/internal/typecheck/typecheck.go
return false } } // DefaultLit is necessary for non-constants too: n might be 1.1<<k. n = DefaultLit(n, types.Types[types.TINT]) *np = n return true } func Conv(n ir.Node, t *types.Type) ir.Node { if types.IdenticalStrict(n.Type(), t) { return n } n = ir.NewConvExpr(base.Pos, ir.OCONV, nil, n) n.SetType(t) n = Expr(n) return n }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed Mar 20 19:08:34 UTC 2024 - 30.5K bytes - Viewed (0) -
tensorflow/compiler/jit/tests/keras_imagenet_main_graph_mode.pbtxt
value { type: DT_INT32 } } } node { name: "training/SGD/gradients/loss_1/conv1/kernel/Regularizer/Square_grad/Mul_1" op: "Mul" input: "loss_1/conv1/kernel/Regularizer/Square/ReadVariableOp" input: "training/SGD/gradients/loss_1/conv1/kernel/Regularizer/Square_grad/Mul" device: "/job:localhost/replica:0/task:0/device:GPU:0" attr { key: "T" value {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 30 02:52:54 UTC 2019 - 1.1M bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/compose_uniform_quantized_type_pass.cc
// Replace filter uses with uniform quantized filter. rewriter.replaceAllUsesWith(filter_op->getResult(0), quantized_filter_constant_op.getResult()); // Replace conv op with a new convolution op that has quantized output type. // Quantize -> Dequantize following r3. auto output_uniform_quantize_call_op = cast<func::CallOp>( *combined_scale_multiply_op.getResult().user_begin());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 64.6K bytes - Viewed (0) -
tensorflow/compiler/jit/tests/keras_imagenet_main.pbtxt
value { b: false } } } node { name: "training/LossScaleOptimizer/gradients/loss_1/conv1/kernel/Regularizer/Square_grad/Mul_1" op: "Mul" input: "loss_1/conv1/kernel/Regularizer/Square/ReadVariableOp" input: "training/LossScaleOptimizer/gradients/loss_1/conv1/kernel/Regularizer/Square_grad/Mul" device: "/job:localhost/replica:0/task:0/device:GPU:0" attr { key: "T"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 30 02:52:54 UTC 2019 - 1.3M bytes - Viewed (0) -
src/main/webapp/js/admin/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) -
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/tensorflow/tests/shape_inference.mlir
// CHECK: %[[SHAPE:.*]] = "tf.Shape" // CHECK: %[[CONV:.*]] = "tf.Conv2DBackpropInput"(%[[SHAPE]] // CHECK-SAME: (tensor<4xi32>, tensor<1x1x1x1xf32>, tensor<1x1x1x1xf32>) -> tensor<1x1x1x1xf32> // CHECK: return %[[CONV]] : tensor<1x1x1x1xf32> %0 = "tf.Shape"(%arg0) : (tensor<1x1x1x1xi32>) -> tensor<4xi32> %1 = "tf.Conv2DBackpropInput"(%0, %arg1, %arg1) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 23 17:24:10 UTC 2024 - 167.4K bytes - Viewed (0)