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tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test.py
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 03:36:50 UTC 2024 - 235.6K bytes - Viewed (0) -
src/main/webapp/js/admin/jquery-3.6.3.min.map
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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/lite/stablehlo/tests/uniform-quantized-stablehlo-to-tfl.mlir
// CHECK: %[[CONV:.+]] = stablehlo.convolution(%[[ARG0]], %[[DQ]]) // CHECK{LITERAL}: dim_numbers = [b, 0, 1, f]x[o, 0, 1, i]->[b, 0, 1, f], window = {pad = [[1, 1], [1, 1]]} {batch_group_count = 1 : i64, feature_group_count = 1 : i64} // CHECK-SAME: (tensor<1x3x3x4xf32>, tensor<2x3x3x4xf32>) -> tensor<1x3x3x2xf32> // CHECK: return %[[CONV]] // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 106.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/shape_inference.mlir
func.return %arg0 : tensor<*xi32> } // Test conv2d inferReturnTypes can infer some information when input or // filter does not have fully static shape. // CHECK-LABEL: func @conv2d_unranked_input_and_filter func.func @conv2d_unranked_input_and_filter(%arg0: tensor<*xf32>, %arg1: tensor<*xf32>) -> tensor<*xf32> { // CHECK: "tf.Conv2D" // CHECK-SAME: -> tensor<?x?x?x?xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 23 17:24:10 UTC 2024 - 167.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf-ops.mlir
%0 = "tf.Conv2D"(%arg0, %arg1) {padding = "SAME", strides = [1, 1]} : (tensor<256x32x32x3xf32>, tensor<3x3x3x16xf32>) -> tensor<256x30x30x16xf32> func.return %0 : tensor<256x30x30x16xf32> } // ----- func.func @testConv2D(%arg0: tensor<256x32x32x3xf32>, %arg1: tensor<3x3x3x16xf32>) -> tensor<256x30x30x16xf32> { // expected-error @+1 {{requires positive strides}}
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 23 14:40:35 UTC 2023 - 236.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/canonicalize.mlir
%con12 = "tf.Const"() { value = dense<[3.0, 4.0]> : tensor<2xf32> } : () -> tensor<2xf32> %con21 = "tf.Const"() { value = dense<[0.0, 2.0]> : tensor<2xf32> } : () -> tensor<2xf32> %con22 = "tf.Const"() { value = dense<[0.0, 0.0]> : tensor<2xf32> } : () -> tensor<2xf32> %con31 = "tf.Const"() { value = dense<[0.0, 0.0]> : tensor<2xf32> } : () -> tensor<2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 22:07:10 UTC 2024 - 132.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/optimize.cc
// can let binary op to broadcast elements. if (elements_depth == 1) { return true; } // In TFLite Conv2D uses OHWI format for filter, and 1HWO for Depthwise Conv. // For conv: // Check if last dimension in filter equals the first dimension // For depthwise conv: // Check if the first in filter dimension equals the first dimension. if (filter_shape.empty() ||
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 00:40:15 UTC 2024 - 102.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tf_passes.td
} func @_func(%input: tensor<2x112x112x12xf32>, %filter: tensor<7x7x3x64xf32>) { %filter_transform = "tf.Pad/tf.Transpose/tf.Reshape"(%filter): tensor<7x7x3x64xf32>) -> tensor<4x4x12x64xf32> %conv = "tf.Conv2D"(%input, %filter_transfrom) {strides = [1, 1, 1, 1]}: (tensor<2x112x112x12xf32>, tensor<4x4x12x64xf32>) -> tensor<2x112x112x64xf32> } } ```
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:18:05 UTC 2024 - 99.6K 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) return false;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 154.9K bytes - Viewed (0)